David D. Holcomb
Impact in
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- SARS-CoV-2 and COVID-19 Research
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
Papers in
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- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 3
- RNA Research and Splicing 2
- vaccines and immunoinformatics approaches 2
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- Blood Coagulation and Thrombosis Mechanisms 2
- Co-authors
- Chava Kimchi‐Sarfaty (10 shared papers)Jacob Kames (8 shared papers)Nobuko Hamasaki‐Katagiri (8 shared papers)Aikaterini Alexaki (6 shared papers)Anton A. Komar (6 shared papers)Haim Bar (6 shared papers)John C. Athey (3 shared papers)Luis V. Santana‐Quintero (2 shared papers)
- Journals
- Journal of Molecular Biology (2 papers)Blood Advances (2 papers)Scientific Reports (1 paper)The American Journal of Human Genetics (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United States
In The Last Decade
David D. Holcomb
10 papers receiving 204 citations
Peers
Comparison fields: 5 of 50
- Infectious Diseases 64
- Molecular Biology 135
- Animal Science and Zoology 16
- Endocrinology 6
- Ecology 25
Countries citing papers authored by David D. Holcomb
This map shows the geographic impact of David D. Holcomb'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 D. Holcomb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David D. Holcomb more than expected).
Fields of papers citing papers by David D. Holcomb
This network shows the impact of papers produced by David D. Holcomb. 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 D. Holcomb. The network helps show where David D. Holcomb may publish in the future.
Co-authors
The 25 scholars most cited alongside David D. Holcomb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 97 | |
| 2 | 2020 | 40 | |
| 3 | 2020 | 26 | |
| 4 | 2021 | 15 | |
| 5 | 2019 | 7 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 5 | |
| 9 | 2020 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 0 |
About David D. Holcomb
David D. Holcomb is a scholar working on Molecular Biology, Hematology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 11 papers that have together received 207 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Complement system in diseases (2 papers), RNA Research and Splicing (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Genomics and Rare Diseases (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Infectious Diseases (64 citations), Molecular Biology (135 citations), Animal Science and Zoology (16 citations), Endocrinology (6 citations) and Ecology (25 citations). David D. Holcomb has collaborated with scholars based in United States. Frequent co-authors include Chava Kimchi‐Sarfaty, Jacob Kames, Nobuko Hamasaki‐Katagiri, Aikaterini Alexaki, Anton A. Komar, Haim Bar, John C. Athey, Luis V. Santana‐Quintero, Ekaterina Osipova and Vahan Simonyan. Their work appears in journals such as Journal of Molecular Biology, Blood Advances, Scientific Reports, The American Journal of Human Genetics and PLoS Computational Biology.
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.