David G. Nettesheim
- Molecular Biology top 1%
- Oncology top 5%
- Immunology top 5%
- Organic Chemistry top 5%
- Computational Theory and Mathematics top 1%
- Co-authors
- Stephen W. FesikRobert MeadowsHo Sup YoonCraig B. ThompsonHeng LiangMichael SattlerJohn E. HarlanBrian S. Chang
- Topics
- Cell death mechanisms and regulation (7 papers)Signaling Pathways in Disease (7 papers)Trace Elements in Health (5 papers)
- Cited by
- Molecular BiologyOncologyImmunology
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
David G. Nettesheim
37 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 4.0k
- Oncology 898
- Immunology 633
- Organic Chemistry 434
- Computational Theory and Mathematics 430
Countries citing papers authored by David G. Nettesheim
This map shows the geographic impact of David G. Nettesheim'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 G. Nettesheim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David G. Nettesheim more than expected).
Fields of papers citing papers by David G. Nettesheim
This network shows the impact of papers produced by David G. Nettesheim. 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 G. Nettesheim. The network helps show where David G. Nettesheim may publish in the future.
Co-authorship network of co-authors of David G. Nettesheim
This figure shows the co-authorship network connecting the top 25 collaborators of David G. Nettesheim. A scholar is included among the top collaborators of David G. Nettesheim 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 G. Nettesheim. David G. Nettesheim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 69 | |
| 2 | 229 | |
| 3 | 59 | |
| 4 | 91 | |
| 5 | 358 | |
| 6 | 334 | |
| 7 | X-ray and NMR structure of human Bcl-xL, an inhibitor of programmed cell deathbreakdown → | 1199 |
| 8 | 75 | |
| 9 | 90 | |
| 10 | 44 | |
| 11 | 39 | |
| 12 | 62 | |
| 13 | 24 | |
| 14 | 10 | |
| 15 | 23 | |
| 16 | 34 | |
| 17 | 8 | |
| 18 | 79 | |
| 19 | 8 | |
| 20 | 32 |
About David G. Nettesheim
David G. Nettesheim is a scholar working on Molecular Biology, Cancer Research and Electrochemistry, having authored 37 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (7 papers), Signaling Pathways in Disease (7 papers) and Trace Elements in Health (5 papers). The work is most often cited by research in Molecular Biology (4.0k citations), Oncology (898 citations) and Immunology (633 citations). David G. Nettesheim has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Stephen W. Fesik, Robert Meadows, Ho Sup Yoon, Craig B. Thompson, Heng Liang, Michael Sattler, John E. Harlan, Brian S. Chang, Edward T. Olejniczak and Suzanne B. Shuker. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.