David Tran
About
In The Last Decade
David Tran
8 papers receiving 390 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 139
- Endocrine and Autonomic Systems 128
- Experimental and Cognitive Psychology 97
- Genetics 72
- Physiology 63
Countries citing papers authored by David Tran
This map shows the geographic impact of David Tran's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Tran more than expected).
Fields of papers citing papers by David Tran
This network shows the impact of papers produced by David Tran. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Tran. The network helps show where David Tran may publish in the future.
Co-authorship network of co-authors of David Tran
This figure shows the co-authorship network connecting the top 25 collaborators of David Tran. A scholar is included among the top collaborators of David Tran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Tran. David Tran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 98 | |
| 2 | 215 | |
| 3 | 8 | |
| 4 | 11 | |
| 5 | GWAS of 89,283 individuals identifies genetic variants associated with being a morning person | 1 |
| 6 | 13 | |
| 7 | 5 | |
| 8 | 44 |
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.