Brian C. Corliss

3.5k total citations · 2 hit papers
9 papers, 2.9k citations indexed

About

Brian C. Corliss is a scholar working on Immunology, Oncology and Organic Chemistry. According to data from OpenAlex, Brian C. Corliss has authored 9 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 2 papers in Oncology and 1 paper in Organic Chemistry. Recurrent topics in Brian C. Corliss's work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers) and Invertebrate Immune Response Mechanisms (2 papers). Brian C. Corliss is often cited by papers focused on Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers) and Invertebrate Immune Response Mechanisms (2 papers). Brian C. Corliss collaborates with scholars based in United States, France and Australia. Brian C. Corliss's co-authors include Lewis L. Lanier, Joseph H. Phillips, Jun Wu, Clement C. Leong, Nicholas M. Valiante, Dolly B. Tyan, Heather Shilling, Peter Parham, Benny P. Shum and Markus Uhrberg and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Immunity.

In The Last Decade

Brian C. Corliss

9 papers receiving 2.9k citations

Hit Papers

Human Diversity in Killer Cell Inhibitory Receptor Genes 1997 2026 2006 2016 1997 1998 250 500 750

Peers

Brian C. Corliss
Comparison fields: 5 of 86
  • Immunology 2.8k
  • Oncology 446
  • Hematology 269
  • Molecular Biology 240
  • Epidemiology 182
Replace Niklas Czeloth with:
Niklas Czeloth Germany
Naoko Aoki Japan
Bettina Ernst United States
Leslie Lowe United States
Christiane Siewert Germany
Qingsheng Li United States
Irina Apostolou United States
Koho Iizuka United States
Leonie M. van Duivenvoorde Netherlands
Kamel Benlagha France
Niklas Czeloth Germany View profile →
Citations per field, relative to Brian C. Corliss
Brian C. Corliss · 1×
Citations per year, relative to Brian C. Corliss
Brian C. Corliss · 1×

Countries citing papers authored by Brian C. Corliss

Since Specialization
Citations

This map shows the geographic impact of Brian C. Corliss'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 C. Corliss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian C. Corliss more than expected).

Fields of papers citing papers by Brian C. Corliss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian C. Corliss. 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 C. Corliss. The network helps show where Brian C. Corliss may publish in the future.

Co-authorship network of co-authors of Brian C. Corliss

This figure shows the co-authorship network connecting the top 25 collaborators of Brian C. Corliss. A scholar is included among the top collaborators of Brian C. Corliss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian C. Corliss. Brian C. Corliss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 97
2 100
3 290
4 52
5
Immunoreceptor DAP12 bearing a tyrosine-based activation motif is involved in activating NK cells breakdown →
754
6 436
7
Human Diversity in Killer Cell Inhibitory Receptor Genes breakdown →
878
8 210
9 117

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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