David J. Proctor
Impact in
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- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
- RNA modifications and cancer
- RNA Research and Splicing
- Advanced biosensing and bioanalysis techniques
- Protein Structure and Dynamics
Papers in
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- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 5
- RNA Research and Splicing 4
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- Viral Infections and Immunology Research 2
- Co-authors
- Philip C. Bevilacqua (7 shared papers)Ryszard Kierzek (4 shared papers)Elżbieta Kierzek (4 shared papers)Shu‐ichi Nakano (1 shared paper)Martin Gruebele (2 shared papers)Hairong Ma (2 shared papers)Joanne M. Bevilacqua (1 shared paper)Christopher J. Falzone (1 shared paper)
- Journals
- Journal of the American Chemical Society (3 papers)Biochemistry (3 papers)Information Processing & Management (1 paper)Journal of Open Research Software (1 paper)Chemistry & Biology (1 paper)
- Partner nations
- United StatesPolandUnited Kingdom
In The Last Decade
David J. Proctor
9 papers receiving 473 citations
Peers
Comparison fields: 5 of 49
- Molecular Biology 457
- Hepatology 24
- Ecology 48
- Virology 7
- Cardiology and Cardiovascular Medicine 29
Countries citing papers authored by David J. Proctor
This map shows the geographic impact of David J. Proctor'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 J. Proctor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Proctor more than expected).
Fields of papers citing papers by David J. Proctor
This network shows the impact of papers produced by David J. Proctor. 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 J. Proctor. The network helps show where David J. Proctor may publish in the future.
Co-authors
The 13 scholars most cited alongside David J. Proctor, 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 | 2006 | 123 | |
| 2 | 2001 | 107 | |
| 3 | 2004 | 77 | |
| 4 | 2002 | 72 | |
| 5 | 2009 | 39 | |
| 6 | 2003 | 32 | |
| 7 | 2007 | 22 | |
| 8 | 2014 | 2 | |
| 9 | 1978 | 1 |
About David J. Proctor
David J. Proctor is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Industrial and Manufacturing Engineering, Information Systems and Information Systems and Management, having authored 9 papers that have together received 475 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers), Viral Infections and Immunology Research (2 papers), Scientific Computing and Data Management (1 paper), History and advancements in chemistry (1 paper), Research Data Management Practices (1 paper) and Data Quality and Management (1 paper). The work is most often cited by research in Molecular Biology (457 citations), Hepatology (24 citations), Ecology (48 citations), Virology (7 citations) and Cardiology and Cardiovascular Medicine (29 citations). David J. Proctor has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include Philip C. Bevilacqua, Ryszard Kierzek, Elżbieta Kierzek, Shu‐ichi Nakano, Martin Gruebele, Hairong Ma, Joanne M. Bevilacqua, Christopher J. Falzone, Vinod K. Misra and Narayanan Veeraraghavan. Their work appears in journals such as Journal of the American Chemical Society, Biochemistry, Information Processing & Management, Journal of Open Research Software and Chemistry & 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.