Daniel A. Bonsor
Impact in
- Immunology top 10%
- Galectins and Cancer Biology
- Immune Cell Function and Interaction
- Endocrinology top 5%
Papers in
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- RNA and protein synthesis mechanisms 6
- Protein Tyrosine Phosphatases 4
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- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- Eric J. Sundberg (21 shared papers)Colin Kleanthous (4 shared papers)Irina Grishkovskaya (1 shared paper)E.J. Dodson (1 shared paper)Dorothy Beckett (5 shared papers)Wolfgang Fischer (4 shared papers)Rainer Haas (4 shared papers)Richard James (2 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Biochemistry (3 papers)The EMBO Journal (3 papers)Nature Communications (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel A. Bonsor
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Immunology 313
- Endocrinology 75
- Small Animals 68
- Genetics 199
- Molecular Biology 480
Countries citing papers authored by Daniel A. Bonsor
This map shows the geographic impact of Daniel A. Bonsor'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 Daniel A. Bonsor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Bonsor more than expected).
Fields of papers citing papers by Daniel A. Bonsor
This network shows the impact of papers produced by Daniel A. Bonsor. 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 Daniel A. Bonsor. The network helps show where Daniel A. Bonsor may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel A. Bonsor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 152 | |
| 2 | 2007 | 91 | |
| 3 | 2009 | 81 | |
| 4 | 2006 | 72 | |
| 5 | 2011 | 71 | |
| 6 | 2006 | 66 | |
| 7 | 2017 | 51 | |
| 8 | 2018 | 49 | |
| 9 | 2015 | 41 | |
| 10 | 2012 | 40 | |
| 11 | 2016 | 40 | |
| 12 | 2018 | 39 | |
| 13 | 2022 | 30 | |
| 14 | 2016 | 28 | |
| 15 | 2011 | 27 | |
| 16 | 2021 | 27 | |
| 17 | 2015 | 25 | |
| 18 | 2013 | 21 | |
| 19 | 2010 | 19 | |
| 20 | 2010 | 16 |
About Daniel A. Bonsor
Daniel A. Bonsor is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Surgery and Genetics, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Helicobacter pylori-related gastroenterology studies (6 papers), RNA and protein synthesis mechanisms (6 papers), Bacterial Genetics and Biotechnology (6 papers), Galectins and Cancer Biology (5 papers), Protein Tyrosine Phosphatases (4 papers), Immune Cell Function and Interaction (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Immunology (313 citations), Endocrinology (75 citations), Small Animals (68 citations), Genetics (199 citations) and Molecular Biology (480 citations). Daniel A. Bonsor has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Eric J. Sundberg, Colin Kleanthous, Irina Grishkovskaya, E.J. Dodson, Dorothy Beckett, Wolfgang Fischer, Rainer Haas, Richard James, Geoffrey R. Moore and Sebastian Günther. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, The EMBO Journal, Nature Communications and Scientific Reports.
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.