Todd M. Brusko
Impact in
- Immunology top 0.5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Genetics top 0.5%
- Diabetes and associated disorders
Papers in
- Immunology 71
- Immune Cell Function and Interaction 61
- T-cell and B-cell Immunology 47
- Immunotherapy and Immune Responses 12
- Genetics 83
- Diabetes and associated disorders 80
- Co-authors
- Mark A. AtkinsonClive WasserfallJeffrey A. BluestoneAmy PutnamDesmond SchatzMichael J. HallerHoward R. SeayDaniel J. Perry
- Journals
- Diabetes (18 papers)The Journal of Immunology (13 papers)Frontiers in Immunology (10 papers)Diabetes Care (6 papers)Scientific Reports (5 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Todd M. Brusko
131 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Immunology 3.7k
- Genetics 2.7k
- Endocrinology, Diabetes and Metabolism 1.3k
- Surgery 1.7k
- Transplantation 91
Countries citing papers authored by Todd M. Brusko
This map shows the geographic impact of Todd M. Brusko'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 Todd M. Brusko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd M. Brusko more than expected).
Fields of papers citing papers by Todd M. Brusko
This network shows the impact of papers produced by Todd M. Brusko. 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 Todd M. Brusko. The network helps show where Todd M. Brusko may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd M. Brusko, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | The immunology of type 1 diabetes Hit paper breakdown → | 2024 | 81 |
| 8 | 2023 | 15 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 21 | |
| 12 | 2023 | 26 | |
| 13 | 2023 | 18 | |
| 14 | 2021 | 19 | |
| 15 | 2020 | 12 | |
| 16 | 2020 | 39 | |
| 17 | 2018 | 7 | |
| 18 | 2016 | 23 | |
| 19 | Normalization of CD4 + T cell metabolism reverses lupus Hit paper breakdown → | 2015 | 493 |
| 20 | 2010 | 122 |
About Todd M. Brusko
Todd M. Brusko is a scholar working on Immunology, Genetics, Endocrinology, Diabetes and Metabolism, Surgery and Oncology, having authored 135 papers that have together received 7.1k indexed citations. Recurring topics across this work include Diabetes and associated disorders (80 papers), Immune Cell Function and Interaction (61 papers), Pancreatic function and diabetes (48 papers), T-cell and B-cell Immunology (47 papers), Diabetes Management and Research (38 papers), Immunotherapy and Immune Responses (12 papers), CAR-T cell therapy research (11 papers) and Systemic Lupus Erythematosus Research (7 papers). The work is most often cited by research in Immunology (3.7k citations), Genetics (2.7k citations), Endocrinology, Diabetes and Metabolism (1.3k citations), Surgery (1.7k citations) and Transplantation (91 citations). Todd M. Brusko has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Mark A. Atkinson, Clive Wasserfall, Jeffrey A. Bluestone, Amy Putnam, Desmond Schatz, Michael J. Haller, Howard R. Seay, Daniel J. Perry, Michael Clare‐Salzler and Maigan A. Hulme. Their work appears in journals such as Diabetes, The Journal of Immunology, Frontiers in Immunology, Diabetes Care 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.