Cheikh Fall

749 citations
36 papers · 590 · h-index 12

Impact in

Papers in

Cheikh Fall

32 papers receiving 582 citations

Peers

Cheikh Fall
Comparison fields: 5 of 67
  • Infectious Diseases 347
  • Clinical Biochemistry 100
  • Molecular Medicine 36
  • Public Health, Environmental and Occupational Health 153
  • Applied Microbiology and Biotechnology 7
Replace Xavier Argemi with:
Xavier Argemi France
Antigoni Foka Greece
Miranda van Luit‐Asbroek Netherlands
Vittal P. Prakash United States
Sharmin Jamshid Baig Denmark
Shizuka Yabe Japan
Michael Nagel Germany
Tony Berendt United Kingdom
Jianyong Wu China
Yasuhisa Iwao Japan
Cheikh Fall relative to Xavier Argemi France Xavier Argemi's profile →
Citations per field
00.5×2×3×4×4.8×
Xavier Argemi · 1×
Citations per year

Countries citing papers authored by Cheikh Fall

Since Specialization
Citations

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

Fields of papers citing papers by Cheikh Fall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010113
2 201095
3 201865
4 201249
5 201127
6 202024
7 202223
8 202122
9 201021
10 202120
11 202215
12 201312
13 201510
14 202010
15 20209
16 20209
17 20239
18 20247
19 20247
20 20246

About Cheikh Fall

Cheikh Fall is a scholar working on Molecular Medicine, Infectious Diseases, Applied Microbiology and Biotechnology, Public Health, Environmental and Occupational Health and Endocrinology, having authored 36 papers that have together received 590 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (9 papers), Mosquito-borne diseases and control (8 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Viral Infections and Vectors (4 papers), Bacteriophages and microbial interactions (4 papers), Antibiotic Use and Resistance (4 papers), Malaria Research and Control (3 papers) and Salmonella and Campylobacter epidemiology (3 papers). The work is most often cited by research in Infectious Diseases (347 citations), Clinical Biochemistry (100 citations), Molecular Medicine (36 citations), Public Health, Environmental and Occupational Health (153 citations) and Applied Microbiology and Biotechnology (7 citations). Cheikh Fall has collaborated with scholars based in Senegal, France and United Kingdom. Frequent co-authors include Sébastien Breurec, Frederic J. Laurent, Sylvain Brisse, B. Garin, Sayo Djibo, Abdoulaye Seck, Jean-David Perrier-Gros-Claude, Régis Pouillot, Marie‐Christine Fonkoua and Frédérique Randrianirina. Their work appears in journals such as Clinical Microbiology and Infection, Antibiotics, Foodborne Pathogens and Disease, PLoS neglected tropical diseases and Tropical Medicine and Infectious Disease.

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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