Brian Riesenberg
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 9
- Cancer Immunotherapy and Biomarkers 6
- Inflammatory Biomarkers in Disease Prognosis 3
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- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 3
- Immune cells in cancer 3
- Co-authors
- Zihai Li (12 shared papers)Bei Liu (8 shared papers)Alessandra Metelli (4 shared papers)Bill X. Wu (4 shared papers)Anqi Li (3 shared papers)Chrystal M. Paulos (5 shared papers)Mark P. Rubinstein (4 shared papers)Caroline Wallace (3 shared papers)
- Journals
- Cancer Research (3 papers)Journal of Clinical Oncology (2 papers)Cancer Immunology Research (2 papers)Cell Metabolism (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Brian Riesenberg
16 papers receiving 852 citations
Brian Riesenberg's Hit Papers
Peers
Comparison fields: 5 of 75
- Immunology 321
- Oncology 356
- Internal Medicine 47
- Cancer Research 125
- Hematology 91
Countries citing papers authored by Brian Riesenberg
This map shows the geographic impact of Brian Riesenberg'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 Riesenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Riesenberg more than expected).
Fields of papers citing papers by Brian Riesenberg
This network shows the impact of papers produced by Brian Riesenberg. 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 Riesenberg. The network helps show where Brian Riesenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Riesenberg, 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 | 2017 | 265 | |
| 2 | 2020 | 91 | |
| 3 | 2020 | 87 | |
| 4 | 2016 | 81 | |
| 5 | Acetyl-CoA carboxylase obstructs CD8+ T cell lipid utilization in the tumor microenvironment Hit paper breakdown → | 2024 | 62 |
| 6 | 2017 | 53 | |
| 7 | 2019 | 49 | |
| 8 | 2020 | 35 | |
| 9 | 2017 | 33 | |
| 10 | 2019 | 32 | |
| 11 | 2021 | 24 | |
| 12 | 2015 | 21 | |
| 13 | 2022 | 15 | |
| 14 | 2018 | 7 | |
| 15 | 2020 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2023 | 0 |
About Brian Riesenberg
Brian Riesenberg is a scholar working on Oncology, Immunology, Epidemiology, Cell Biology and Biotechnology, having authored 17 papers that have together received 857 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), T-cell and B-cell Immunology (3 papers), Immune cells in cancer (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Immunology (321 citations), Oncology (356 citations), Internal Medicine (47 citations), Cancer Research (125 citations) and Hematology (91 citations). Brian Riesenberg has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Zihai Li, Bei Liu, Alessandra Metelli, Bill X. Wu, Anqi Li, Chrystal M. Paulos, Mark P. Rubinstein, Caroline Wallace, Saleh Rachidi and Yi Yang. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Cancer Immunology Research, Cell Metabolism and Science Translational Medicine.
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.