Brendan P. Eckelman
- Molecular Biology top 5%
- Cell death mechanisms and regulation 9
- Immunology top 10%
- Immunotherapy and Immune Responses 3
- Plant Science top 5%
- Plant Stress Responses and Tolerance 2
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms 5
- Oncology top 10%
- CAR-T cell therapy research 4
- Peptidase Inhibition and Analysis 4
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- Cell Adhesion Molecules Research 4
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- Erythrocyte Function and Pathophysiology 2
- Co-authors
- Guy S. SalvesenFiona L. ScottNobuyuki UozumiPascal MäserJulian I. SchroederTomoaki HorieHwain ShinKatsushi Yamaguchi
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesUnited KingdomNew Zealand
In The Last Decade
Brendan P. Eckelman
22 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.3k
- Immunology 393
- Plant Science 521
- Cancer Research 208
- Oncology 317
Countries citing papers authored by Brendan P. Eckelman
This map shows the geographic impact of Brendan P. Eckelman'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 Brendan P. Eckelman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brendan P. Eckelman more than expected).
Fields of papers citing papers by Brendan P. Eckelman
This network shows the impact of papers produced by Brendan P. Eckelman. 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 Brendan P. Eckelman. The network helps show where Brendan P. Eckelman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brendan P. Eckelman, 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 | 4 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 28 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 29 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2020 | 15 | |
| 12 | 2017 | 13 | |
| 13 | 2015 | 43 | |
| 14 | 2010 | 149 | |
| 15 | 2008 | 36 | |
| 16 | Human inhibitor of apoptosis proteins: why XIAP is the black sheep of the familybreakdown → | 2006 | 632 |
| 17 | 2005 | 299 | |
| 18 | 2004 | 45 | |
| 19 | 2002 | 230 | |
| 20 | 2002 | 309 |
About Brendan P. Eckelman
Brendan P. Eckelman is a scholar working on Immunology and Allergy, Cancer Research and Oncology, having authored 24 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (9 papers), Protease and Inhibitor Mechanisms (5 papers), CAR-T cell therapy research (4 papers), Peptidase Inhibition and Analysis (4 papers), Cell Adhesion Molecules Research (4 papers), Immunotherapy and Immune Responses (3 papers), Plant Stress Responses and Tolerance (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Immunology (393 citations) and Plant Science (521 citations). Brendan P. Eckelman has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Guy S. Salvesen, Fiona L. Scott, Nobuyuki Uozumi, Pascal Mäser, Julian I. Schroeder, Tomoaki Horie, Hwain Shin, Katsushi Yamaguchi, Mutsumi Yamagami and Michael R. Sussman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.