C.J. Cambier

1.9k citations
10 papers · 1.4k · h-index 10

Impact in

    • Tuberculosis Research and Epidemiology
  • Immunology top 5%
    • Immune cells in cancer
    • Immune Response and Inflammation
    • Aquaculture disease management and microbiota
    • Immune Cell Function and Interaction

Papers in

    • Mycobacterium research and diagnosis 3
    • Trypanosoma species research and implications 1
    • Immune Response and Inflammation 3
    • Immune cells in cancer 3
    • interferon and immune responses 2

C.J. Cambier

10 papers receiving 1.3k citations

Peers

C.J. Cambier
Comparison fields: 5 of 86
  • Infectious Diseases 753
  • Immunology 586
  • Epidemiology 588
  • Molecular Medicine 58
  • Cell Biology 131
Replace Kevin K. Takaki with:
Kevin K. Takaki United States
Sangeeta Tiwari United States
Jim Sun Canada
Pallavi Chandra United States
Danielle Desjardins United States
Danielle Ensergueix France
Alexandre Bobard France
Angela C. Collins United States
Eleanor Kincaid United States
Evelyn Guirado Spain
C.J. Cambier relative to Kevin K. Takaki United States Kevin K. Takaki's profile →
Citations per field
00.5×1.5×
Kevin K. Takaki · 1×
Citations per year

Countries citing papers authored by C.J. Cambier

Since Specialization
Citations

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

Fields of papers citing papers by C.J. Cambier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C.J. Cambier, 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 C.J. Cambier Line = papers co-authored together C.J. Cambier links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2013359
2 2014291
3 2012241
4 2017107
5 201696
6 201593
7 201791
8 201842
9 202135
10 20249

About C.J. Cambier

C.J. Cambier is a scholar working on Epidemiology, Immunology, Infectious Diseases, Molecular Biology and Physiology, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (3 papers), Immune Response and Inflammation (3 papers), Immune cells in cancer (3 papers), Tuberculosis Research and Epidemiology (2 papers), interferon and immune responses (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Trypanosoma species research and implications (1 paper) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Infectious Diseases (753 citations), Immunology (586 citations), Epidemiology (588 citations), Molecular Medicine (58 citations) and Cell Biology (131 citations). C.J. Cambier has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Lalita Ramakrishnan, Stanley Falkow, David M. Tobin, Kevin K. Takaki, Kevin B. Urdahl, Ryan Larson, Christine L. Cosma, Rafael E. Hernandez, Christopher J. Hall and J. Muse Davis. Their work appears in journals such as Cell, Cell Host & Microbe, Immunity, ACS Chemical Biology and Nature.

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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