David Shalloway
- Immunology and Allergy top 0.5%
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics 17
- Molecular Biology top 0.5%
- Protein Kinase Regulation and GTPase Signaling 28
- Protein Structure and Dynamics 21
- Protein Tyrosine Phosphatases 12
- RNA Research and Splicing 12
- RNA and protein synthesis mechanisms 10
- Oncology top 2%
- Immunology top 5%
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- Virus-based gene therapy research 13
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- Enzyme Structure and Function 11
- Co-authors
- Stephen J. TaylorJun‐Lin GuanThomas E. KmiecikRoss J. ResnickIsaac ChackalaparampilPaul M. CoussensShubha BagrodiaPaul J. Johnson
- Journals
- Molecular and Cellular Biology (19 papers)Journal of Biological Chemistry (11 papers)Proceedings of the National Academy of Sciences (7 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
David Shalloway
123 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Immunology and Allergy 1.2k
- Cell Biology 1.8k
- Molecular Biology 6.1k
- Oncology 1.4k
- Immunology 882
Countries citing papers authored by David Shalloway
This map shows the geographic impact of David Shalloway'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 Shalloway with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Shalloway more than expected).
Fields of papers citing papers by David Shalloway
This network shows the impact of papers produced by David Shalloway. 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 Shalloway. The network helps show where David Shalloway may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Shalloway, 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 | 6 | |
| 2 | 2014 | 57 | |
| 3 | 2008 | 22 | |
| 4 | 2007 | 5 | |
| 5 | 2001 | 163 | |
| 6 | 2000 | 34 | |
| 7 | 1997 | 39 | |
| 8 | Global minimization of nonconvex energy functions : molecular conformation and protein folding : DIMACS workshop, March 20-21, 1995 | 1996 | 7 |
| 9 | 1996 | 56 | |
| 10 | 1996 | 360 | |
| 11 | 1995 | 3 | |
| 12 | 1995 | 89 | |
| 13 | 1995 | 42 | |
| 14 | 1994 | 292 | |
| 15 | 1993 | 56 | |
| 16 | 1993 | 62 | |
| 17 | 1993 | 18 | |
| 18 | 1988 | 5 | |
| 19 | 1988 | 100 | |
| 20 | 1986 | 44 |
About David Shalloway
David Shalloway is a scholar working on Cell Biology, Molecular Biology and Statistical and Nonlinear Physics, having authored 123 papers that have together received 8.4k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (28 papers), Protein Structure and Dynamics (21 papers), Microtubule and mitosis dynamics (17 papers), Virus-based gene therapy research (13 papers), Protein Tyrosine Phosphatases (12 papers), RNA Research and Splicing (12 papers), Enzyme Structure and Function (11 papers) and RNA and protein synthesis mechanisms (10 papers). The work is most often cited by research in Immunology and Allergy (1.2k citations), Cell Biology (1.8k citations) and Molecular Biology (6.1k citations). David Shalloway has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Stephen J. Taylor, Jun‐Lin Guan, Thomas E. Kmiecik, Ross J. Resnick, Isaac Chackalaparampil, Paul M. Coussens, Shubha Bagrodia, Paul J. Johnson, Xinmin Zheng and Jason Gans. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Cell.
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.