Brian C. Corliss

3.5k citations
9 papers · 2.9k indexed · 2 hit papers · h-index 9
Topics
Immune Cell Function and Interaction (8 papers)T-cell and B-cell Immunology (7 papers)Invertebrate Immune Response Mechanisms (2 papers)

In The Last Decade

Brian C. Corliss

9 papers receiving 2.9k citations

Hit Papers

Human Diversity in Killer Cell Inhibitory Receptor Genes199720262006201619971998250500750

Peers

Brian C. Corliss
Comparison fields: 5 of 86
  • Immunology 2.8k
  • Oncology 446
  • Hematology 269
  • Molecular Biology 240
  • Epidemiology 182
Replace M F Luciani with:
M F Luciani France
Koho Iizuka United States
Jennifer L. Matsuda United States
Bente Lowin Switzerland
Igor Maricic United States
Thandi M. Onami United States
Kirsten J. L. Hammond Australia
J P Ways United States
Susan J. Faas United States
Qingsheng Li United States
Brian C. Corliss relative to M F Luciani France M F Luciani's profile →
Citations per field
00.5×1.5×2.4×
M F Luciani · 1×
Citations per year

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
#WorkIndexed citations
1 97
2 100
3 290
4 52
5
Immunoreceptor DAP12 bearing a tyrosine-based activation motif is involved in activating NK cellsbreakdown →
754
6 436
7
Human Diversity in Killer Cell Inhibitory Receptor Genesbreakdown →
878
8 210
9 117

About Brian C. Corliss

Brian C. Corliss is a scholar working on Immunology, Physiology and Oncology, having authored 9 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers) and Invertebrate Immune Response Mechanisms (2 papers). The work is most often cited by research in Immunology (2.8k citations), Hematology (269 citations) and Oncology (446 citations). Brian C. Corliss has collaborated with scholars based in United States, France and Australia. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Immunity.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026