Brian Kidd
Impact in
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
- Health Informatics top 1%
Papers in
-
- Biochemical and Structural Characterization 5
- Bioinformatics and Genomic Networks 5
- Immunology 16
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 6
- interferon and immune responses 4
- Co-authors
- Joel T. Dudley (28 shared papers)Riccardo Miotto (4 shared papers)Li Li (5 shared papers)Mark M. Davis (11 shared papers)Wendy E. Thomas (9 shared papers)William H. Robinson (9 shared papers)Evgeni V. Sokurenko (8 shared papers)Veronika Tchesnokova (7 shared papers)
- Journals
- Scientific Reports (4 papers)The Journal of Immunology (4 papers)Journal of Biological Chemistry (4 papers)Blood (3 papers)Molecular Systems Biology (3 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Brian Kidd
91 papers receiving 5.7k citations
Brian Kidd's Hit Papers
Peers
Comparison fields: 5 of 174
- Biological Psychiatry 247
- Health Informatics 123
- Immunology 1.5k
- Health Information Management 325
- Endocrinology 274
Countries citing papers authored by Brian Kidd
This map shows the geographic impact of Brian 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 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 Kidd more than expected).
Fields of papers citing papers by Brian Kidd
This network shows the impact of papers produced by Brian 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 Kidd. The network helps show where Brian Kidd may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian 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 93 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 | 1005 |
| 2 | 2005 | 354 | |
| 3 | 2013 | 328 | |
| 4 | 2015 | 239 | |
| 5 | 2016 | 228 | |
| 6 | 2015 | 218 | |
| 7 | 2005 | 214 | |
| 8 | 2010 | 212 | |
| 9 | 2013 | 204 | |
| 10 | 2008 | 184 | |
| 11 | 2012 | 166 | |
| 12 | 2013 | 141 | |
| 13 | 2008 | 138 | |
| 14 | 2007 | 119 | |
| 15 | 2016 | 111 | |
| 16 | 2006 | 110 | |
| 17 | 2014 | 100 | |
| 18 | 2008 | 96 | |
| 19 | 2016 | 96 | |
| 20 | 2016 | 90 |
About Brian Kidd
Brian Kidd is a scholar working on Molecular Biology, Immunology, Epidemiology, Public Health, Environmental and Occupational Health and Genetics, having authored 93 papers that have together received 5.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Opioid Use Disorder Treatment (6 papers), Immune Cell Function and Interaction (6 papers), Multiple Myeloma Research and Treatments (5 papers), Substance Abuse Treatment and Outcomes (5 papers), Biochemical and Structural Characterization (5 papers), Bioinformatics and Genomic Networks (5 papers) and interferon and immune responses (4 papers). The work is most often cited by research in Biological Psychiatry (247 citations), Health Informatics (123 citations), Immunology (1.5k citations), Health Information Management (325 citations) and Endocrinology (274 citations). Brian Kidd has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Joel T. Dudley, Riccardo Miotto, Li Li, Mark M. Davis, Wendy E. Thomas, William H. Robinson, Evgeni V. Sokurenko, Veronika Tchesnokova, Evan W. Newell and Ben Readhead. Their work appears in journals such as Scientific Reports, The Journal of Immunology, Journal of Biological Chemistry, Blood and Molecular Systems 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.