Lamin B. Cham

595 citations
15 papers · 216 · h-index 7

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Phagocytosis and Immune Regulation
    • Immune cells in cancer
    • T-cell and B-cell Immunology
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Phagocytosis and Immune Regulation 5
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 3
    • Immune cells in cancer 3
    • Immune Cell Function and Interaction 3
    • SARS-CoV-2 and COVID-19 Research 2
    • Viral Infections and Vectors 2

Lamin B. Cham

14 papers receiving 214 citations

Peers

Lamin B. Cham
Comparison fields: 5 of 58
  • Immunology 143
  • Infectious Diseases 45
  • Virology 8
  • Oncology 33
  • Molecular Biology 73
Replace Mariela P. Cabral-Piccin with:
Mariela P. Cabral-Piccin Brazil
Sarah Siddiqui Canada
Snehal Ozarkar United States
Ivayla E. Gyurova United States
Naveen Yadav India
Fatma Doener Germany
Wuzhou Wan United States
Jessica C. Kling Australia
Elham Karamooz United States
Scott Drutman United States
Lamin B. Cham relative to Mariela P. Cabral-Piccin Brazil Mariela P. Cabral-Piccin's profile →
Citations per field
00.5×1.5×
Mariela P. Cabral-Piccin · 1×
Citations per year

Countries citing papers authored by Lamin B. Cham

Since Specialization
Citations

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

Fields of papers citing papers by Lamin B. Cham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lamin B. Cham. 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 Lamin B. Cham. The network helps show where Lamin B. Cham may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201895
2 202031
3 202024
4 202022
5 201912
6 20209
7 20216
8 20235
9 20204
10 20244
11 20251
12 20231
13 20251
14 20161
15 20250

About Lamin B. Cham

Lamin B. Cham is a scholar working on Immunology, Infectious Diseases, Virology, Epidemiology and Molecular Biology, having authored 15 papers that have together received 216 indexed citations. Recurring topics across this work include Phagocytosis and Immune Regulation (5 papers), HIV Research and Treatment (3 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), Immune cells in cancer (3 papers), Immune Cell Function and Interaction (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Immunology (143 citations), Infectious Diseases (45 citations), Virology (8 citations), Oncology (33 citations) and Molecular Biology (73 citations). Lamin B. Cham has collaborated with scholars based in Germany, Denmark and Bahrain. Frequent co-authors include Karl S. Lang, Fanghui Li, Salvador Iborra, Paul R. Crocker, Katarzyna Olesek, Ellen G. F. Borg, Kees L. M. C. Franken, Hakan Kalay, Joke M. M. den Haan and David Sancho. Their work appears in journals such as Vaccines, Cell Reports, iScience, Pharmaceuticals and Pathogens.

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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