Brian Topp
Impact in
-
- Diabetes Management and Research
- Diabetes Treatment and Management
- Surgery top 10%
- Pancreatic function and diabetes
Papers in
- Oncology 10
- Cancer Immunotherapy and Biomarkers 10
- CAR-T cell therapy research 3
-
- Metabolism, Diabetes, and Cancer 3
- Co-authors
- Diane T. Finegood (6 shared papers)M. Dawn McArthur (2 shared papers)Robin E. Buckingham (1 shared paper)Thomas B. Leonard (1 shared paper)Robert M. Miura (1 shared paper)Keith Promislow (1 shared paper)Laura L. Atkinson (2 shared papers)Alexandra Snyder (5 shared papers)
- Journals
- CPT Pharmacometrics & Systems Pharmacology (5 papers)Cancer Cell (2 papers)Hematological Oncology (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)Diabetologia (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Brian Topp
23 papers receiving 883 citations
Peers
Comparison fields: 5 of 91
- Endocrinology, Diabetes and Metabolism 347
- Surgery 396
- Genetics 197
- Modeling and Simulation 32
- Endocrine and Autonomic Systems 32
Countries citing papers authored by Brian Topp
This map shows the geographic impact of Brian Topp'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 Topp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Topp more than expected).
Fields of papers citing papers by Brian Topp
This network shows the impact of papers produced by Brian Topp. 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 Topp. The network helps show where Brian Topp may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Topp, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 324 | |
| 2 | 2000 | 232 | |
| 3 | 2018 | 67 | |
| 4 | 2019 | 64 | |
| 5 | 2004 | 58 | |
| 6 | 2007 | 49 | |
| 7 | 2001 | 22 | |
| 8 | 2023 | 22 | |
| 9 | 2021 | 20 | |
| 10 | 2009 | 16 | |
| 11 | 2021 | 13 | |
| 12 | 2024 | 10 | |
| 13 | 2023 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2019 | 2 | |
| 19 | 2020 | 1 | |
| 20 | 2009 | 1 |
About Brian Topp
Brian Topp is a scholar working on Oncology, Molecular Biology, Surgery, Computational Theory and Mathematics and Genetics, having authored 24 papers that have together received 929 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (10 papers), Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (4 papers), Computational Drug Discovery Methods (4 papers), Cancer Genomics and Diagnostics (3 papers), Mathematical Biology Tumor Growth (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (347 citations), Surgery (396 citations), Genetics (197 citations), Modeling and Simulation (32 citations) and Endocrine and Autonomic Systems (32 citations). Brian Topp has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Diane T. Finegood, M. Dawn McArthur, Robin E. Buckingham, Thomas B. Leonard, Robert M. Miura, Keith Promislow, Laura L. Atkinson, Alexandra Snyder, Alice Tsai and Jason R. Chan. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Cancer Cell, Hematological Oncology, Journal for ImmunoTherapy of Cancer and Diabetologia.
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.