Brandon Coder
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
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- Tryptophan and brain disorders
Papers in
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- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 2
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- Adrenal Hormones and Disorders 2
- Co-authors
- Dong‐Ming Su (5 shared papers)Linhui Ruan (1 shared paper)Hongjun Wang (1 shared paper)Daniel O. Villarreal (1 shared paper)Andrew L'Huillier (1 shared paper)Robert G. Petit (1 shared paper)Elena V. Filippova (1 shared paper)Michael F. Princiotta (1 shared paper)
- Journals
- Oncotarget (2 papers)International Journal of Biological Sciences (1 paper)Cancer Discovery (1 paper)Cancer Research (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Brandon Coder
9 papers receiving 436 citations
Peers
Comparison fields: 5 of 61
- Immunology 253
- Biological Psychiatry 24
- Neurology 51
- Aging 11
- Oncology 128
Countries citing papers authored by Brandon Coder
This map shows the geographic impact of Brandon Coder'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 Brandon Coder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brandon Coder more than expected).
Fields of papers citing papers by Brandon Coder
This network shows the impact of papers produced by Brandon Coder. 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 Brandon Coder. The network helps show where Brandon Coder may publish in the future.
Co-authors
The 19 scholars most cited alongside Brandon Coder, 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 | 2018 | 108 | |
| 2 | 2015 | 97 | |
| 3 | 2024 | 77 | |
| 4 | Age-Related Disruption of Steady-State Thymic Medulla Provokes Autoimmune Phenotype via Perturbing Negative Selection. | 2012 | 36 |
| 5 | 2012 | 35 | |
| 6 | 2016 | 33 | |
| 7 | 2015 | 24 | |
| 8 | 2016 | 17 | |
| 9 | 2014 | 13 |
About Brandon Coder
Brandon Coder is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism, Cell Biology, Developmental Biology and Biological Psychiatry, having authored 9 papers that have together received 440 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers), Adrenal Hormones and Disorders (2 papers), Immunotherapy and Immune Responses (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Tryptophan and brain disorders (1 paper), Congenital limb and hand anomalies (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Immunology (253 citations), Biological Psychiatry (24 citations), Neurology (51 citations), Aging (11 citations) and Oncology (128 citations). Brandon Coder has collaborated with scholars based in United States and China. Frequent co-authors include Dong‐Ming Su, Linhui Ruan, Hongjun Wang, Daniel O. Villarreal, Andrew L'Huillier, Robert G. Petit, Elena V. Filippova, Michael F. Princiotta, Zhijie Zhang and Jianfei Guo. Their work appears in journals such as Oncotarget, International Journal of Biological Sciences, Cancer Discovery, Cancer Research and Cell Death and Disease.
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.