Fatim Cham

946 citations
27 papers · 793 · h-index 13

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment

Papers in

    • HIV Research and Treatment 13
    • HIV/AIDS drug development and treatment 4
    • HIV/AIDS Research and Interventions 3
    • SARS-CoV-2 detection and testing 2

Fatim Cham

26 papers receiving 763 citations

Peers

Fatim Cham
Comparison fields: 5 of 55
  • Virology 362
  • Infectious Diseases 217
  • Applied Microbiology and Biotechnology 16
  • Physiology 125
  • Microbiology 21
Replace Stefan Scholten with:
Stefan Scholten Germany
Diane Valéa Burkina Faso
Swati B. Gupta United States
Simon Njenga Kenya
Mikio Minamitani Japan
Claudine Nolte United States
Nicholas Bbosa Uganda
Guy Michel Gershy-Damet France
Cédrick Wallet France
Maurice Raux Germany
Fatim Cham relative to Stefan Scholten Germany Stefan Scholten's profile →
Citations per field
00.5×5×10×15×20×25×
Stefan Scholten · 1×
Citations per year

Countries citing papers authored by Fatim Cham

Since Specialization
Citations

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

Fields of papers citing papers by Fatim Cham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010143
2 201978
3 200473
4 200366
5 200762
6 199860
7 201355
8 200753
9 199538
10 200520
11 201420
12 200317
13 200015
14 202013
15 201511
16 201110
17 202410
18 20008
19 20177
20 20197

About Fatim Cham

Fatim Cham is a scholar working on Virology, Infectious Diseases, Applied Microbiology and Biotechnology, Microbiology and Physiology, having authored 27 papers that have together received 793 indexed citations. Recurring topics across this work include HIV Research and Treatment (13 papers), HIV/AIDS drug development and treatment (4 papers), HIV/AIDS Research and Interventions (3 papers), SARS-CoV-2 detection and testing (2 papers), Clinical Laboratory Practices and Quality Control (2 papers), Reproductive tract infections research (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Medicinal Plant Research (1 paper). The work is most often cited by research in Virology (362 citations), Infectious Diseases (217 citations), Applied Microbiology and Biotechnology (16 citations), Physiology (125 citations) and Microbiology (21 citations). Fatim Cham has collaborated with scholars based in United States, Switzerland and Uganda. Frequent co-authors include Peter Bouma, Gerald V. Quinnan, Anil Choudhary, Christopher C. Broder, Hilton C. Whittle, Koya Ariyoshi, Dimiter Stanchev Dimitrov, Tumani Corrah, Sehu Sabally and El Hadj Belabbes. Their work appears in journals such as AIDS, Journal of Virology, Virology, International Journal of Molecular Sciences and AIDS Research and Human Retroviruses.

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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