# Connecting the bibliographic-directed citation networks of translational research and implementation science

**Authors:** Rose Hennessy Garza, Jane E. Mahoney, Morgan Burns, Andrew Quanbeck

PMC · DOI: 10.1017/cts.2025.11 · Journal of Clinical and Translational Science · 2025-02-27

## TL;DR

This paper uses citation network analysis to explore the academic overlap between translational science and implementation science, finding moderate connections and suggesting opportunities for collaboration.

## Contribution

The study introduces a novel approach using directed citation networks to assess interdisciplinary integration in translational and implementation science.

## Key findings

- Two distinct groups emerged in the citation network, representing translational and implementation science.
- Top cited publications showed mixed levels of citation overlap between the two fields.
- The results suggest moderate academic crossover, with potential for improved collaboration.

## Abstract

Translational science and implementation science are two disciplines that integrate scientific findings into practice within healthcare. One method to assess the integration of these fields is to review the academic crossover between the disciplines with respect to shared citations in the peer-reviewed literature.

This paper used direct citation network analysis to identify potential conceptual gaps and connections between the literature in implementation science and translational science. Bibliographic references were downloaded from Web of Science to create directed citation network maps in VosViewer. Heat maps visualized the top cited literature in each field.

A literature search yielded 6,111 publications in translational science and 7,003 publications in implementation science. When all publications were combined in a directed citation network map, two separate groups of publications emerged, representing the two fields of implementation science and translational science. When the top 50 cited translational science publications were combined with implementation science publications, 14% had a 100%+ increase in citation links, 44% had a mean increase of 2.4%, and 42% shared no links. When the top 50 cited implementation science publications were combined with translational science publications, 2% had a 100%+ increase in citation links, 92% had a 3.3% mean increase, and 6% had no shared links.

Results suggest moderate academic overlap in the way published authors cite each other between translational science and implementation science. We hope the implications of this paper may promote continued collaborations between these fields to disseminate lessons learned and bridge research into practice more efficiently.

## Full-text entities

- **Genes:** CTSA (cathepsin A) [NCBI Gene 5476] {aka BSVD6, GLB2, GSL, NGBE, PPCA, PPGB}
- **Diseases:** inflammatory diseases (MESH:D007249), addiction (MESH:D019966)
- **Species:** Mus musculus (house mouse, species) [taxon 10090], Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC11975788/full.md

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11975788/full.md

## References

79 references — full list in the complete paper: https://tomesphere.com/paper/PMC11975788/full.md

---
Source: https://tomesphere.com/paper/PMC11975788