David W. Gohara
- Molecular Biology top 10%
- Hardware and Architecture top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Computer Networks and Communications top 5%
- Infectious Diseases top 5%
- Co-authors
- Guochun ShiJohn E. StoneCraig E. CameronEnrico DiJamie J. ArnoldMee‐Ngan F. YapNicola PozziAmanda Koenig
- Topics
- Viral Infections and Immunology Research (12 papers)RNA and protein synthesis mechanisms (12 papers)RNA Research and Splicing (5 papers)
- Cited by
- Hardware and ArchitectureCardiology and Cardiovascular MedicineComputer Networks and Communications
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
David W. Gohara
28 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 915
- Hardware and Architecture 437
- Cardiology and Cardiovascular Medicine 436
- Computer Networks and Communications 419
- Infectious Diseases 244
Countries citing papers authored by David W. Gohara
This map shows the geographic impact of David W. Gohara'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 W. Gohara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David W. Gohara more than expected).
Fields of papers citing papers by David W. Gohara
This network shows the impact of papers produced by David W. Gohara. 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 W. Gohara. The network helps show where David W. Gohara may publish in the future.
Co-authorship network of co-authors of David W. Gohara
This figure shows the co-authorship network connecting the top 25 collaborators of David W. Gohara. A scholar is included among the top collaborators of David W. Gohara 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 W. Gohara. David W. Gohara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 8 | |
| 5 | 54 | |
| 6 | 22 | |
| 7 | 8 | |
| 8 | 19 | |
| 9 | 70 | |
| 10 | 29 | |
| 11 | 94 | |
| 12 | 84 | |
| 13 | 93 | |
| 14 | 37 | |
| 15 | 77 | |
| 16 | OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systemsbreakdown → | 902 |
| 17 | 87 | |
| 18 | 64 | |
| 19 | 93 | |
| 20 | 114 |
About David W. Gohara
David W. Gohara is a scholar working on Cardiology and Cardiovascular Medicine, Hematology and Molecular Biology, having authored 30 papers that have together received 2.3k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (12 papers), RNA and protein synthesis mechanisms (12 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Hardware and Architecture (437 citations), Cardiology and Cardiovascular Medicine (436 citations) and Computer Networks and Communications (419 citations). David W. Gohara has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Guochun Shi, John E. Stone, Craig E. Cameron, Enrico Di, Jamie J. Arnold, Mee‐Ngan F. Yap, Nicola Pozzi, Amanda Koenig, Cheri A. Schaaf and Ziva Misulovin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.