Brian A. Kidd
Impact in
- Biological Psychiatry top 2%
- Health Informatics top 1%
Papers in
- Immunology 15
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 6
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- Biochemical and Structural Characterization 5
- Bioinformatics and Genomic Networks 5
- Co-authors
- Joel T. Dudley (30 shared papers)Riccardo Miotto (5 shared papers)Li Li (6 shared papers)Mark M. Davis (8 shared papers)Wendy E. Thomas (9 shared papers)William H. Robinson (9 shared papers)Evgeni V. Sokurenko (8 shared papers)Veronika L Tchesnokova (7 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Scientific Reports (4 papers)Blood (3 papers)Immunity (3 papers)Nature Biotechnology (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Brian A. Kidd
96 papers receiving 6.6k citations
Brian A. Kidd's Hit Papers
Peers
Comparison fields: 5 of 178
- Biological Psychiatry 265
- Health Informatics 154
- Health Information Management 408
- Immunology 1.8k
- Endocrinology 298
Countries citing papers authored by Brian A. Kidd
This map shows the geographic impact of Brian A. Kidd'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 Brian A. Kidd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian A. Kidd more than expected).
Fields of papers citing papers by Brian A. Kidd
This network shows the impact of papers produced by Brian A. Kidd. 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 Brian A. Kidd. The network helps show where Brian A. Kidd may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian A. Kidd, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records Hit paper breakdown → | 2016 | 1189 |
| 2 | 2005 | 380 | |
| 3 | 2013 | 366 | |
| 4 | 2015 | 263 | |
| 5 | 2015 | 252 | |
| 6 | 2016 | 251 | |
| 7 | 2005 | 232 | |
| 8 | 2010 | 230 | |
| 9 | 2013 | 229 | |
| 10 | 2017 | 193 | |
| 11 | 2008 | 188 | |
| 12 | 2012 | 172 | |
| 13 | 2013 | 154 | |
| 14 | 2008 | 149 | |
| 15 | 2007 | 123 | |
| 16 | 2016 | 116 | |
| 17 | 2014 | 116 | |
| 18 | 2016 | 116 | |
| 19 | 2006 | 113 | |
| 20 | 2008 | 104 |
About Brian A. Kidd
Brian A. Kidd is a scholar working on Immunology, Molecular Biology, Epidemiology, Genetics and Hematology, having authored 101 papers that have together received 6.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (6 papers), Opioid Use Disorder Treatment (5 papers), Multiple Myeloma Research and Treatments (5 papers), Biochemical and Structural Characterization (5 papers), Bioinformatics and Genomic Networks (5 papers), Bacterial Genetics and Biotechnology (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Biological Psychiatry (265 citations), Health Informatics (154 citations), Health Information Management (408 citations), Immunology (1.8k citations) and Endocrinology (298 citations). Brian A. Kidd has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Joel T. Dudley, Riccardo Miotto, Li Li, Mark M. Davis, Wendy E. Thomas, William H. Robinson, Evgeni V. Sokurenko, Veronika L Tchesnokova, Ben Readhead and Laura F. Su. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Blood, Immunity and Nature Biotechnology.
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.