Brandon Coder

561 citations
7 papers · 303 · h-index 6

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 2
    • Immune Cell Function and Interaction 2
    • FOXO transcription factor regulation 1

Brandon Coder

7 papers receiving 302 citations

Peers

Brandon Coder
Comparison fields: 5 of 57
  • Immunology 176
  • Biological Psychiatry 19
  • Neurology 42
  • Aging 8
  • Oncology 82
Replace Runjing Cao with:
Runjing Cao China
Dallas Boodhoo United States
Dong Seong Cho United States
Sofia Töyrä Silfverswärd Sweden
Karina S. Kanamori United States
Ann V. Griffith United States
Wenzhen He China
Thais Peclat United States
Poorva Mudgal United States
Cecilie Ammitzbøll Denmark
Brandon Coder relative to Runjing Cao China Runjing Cao's profile →
Citations per field
00.5×7.3×
Runjing Cao · 1×
Citations per year

Countries citing papers authored by Brandon Coder

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 21 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.

Border = papers with Brandon Coder Line = papers co-authored together Brandon Coder links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201898
2 201590
3
Age-Related Disruption of Steady-State Thymic Medulla Provokes Autoimmune Phenotype via Perturbing Negative Selection.
201235
4 201233
5 201632
6 201414
7 20181

About Brandon Coder

Brandon Coder is a scholar working on Immunology, Molecular Biology, Cell Biology, Genetics and Endocrine and Autonomic Systems, having authored 7 papers that have together received 303 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immunotherapy and Immune Responses (2 papers), Immune Cell Function and Interaction (2 papers), Circadian rhythm and melatonin (1 paper), FOXO transcription factor regulation (1 paper), Diabetes and associated disorders (1 paper), Cancer Research and Treatments (1 paper) and Tryptophan and brain disorders (1 paper). The work is most often cited by research in Immunology (176 citations), Biological Psychiatry (19 citations), Neurology (42 citations), Aging (8 citations) and Oncology (82 citations). Brandon Coder has collaborated with scholars based in United States and China. Frequent co-authors include Dong‐Ming Su, Linhui Ruan, Hongjun Wang, Elena V. Filippova, Andrew L'Huillier, Robert G. Petit, Daniel O. Villarreal, Michael F. Princiotta, Zhijie Zhang and Zhijie Zhang. Their work appears in journals such as Cancer Research, The Journal of Immunology, Cell Death and Disease, International Journal of Biological Sciences and Oncotarget.

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.

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