Fanta Fall

543 citations
36 papers · 384 · h-index 11

Impact in

Papers in

    • Diagnosis and treatment of tuberculosis 3
    • Lipoproteins and Cardiovascular Health 2
    • Cholesterol and Lipid Metabolism 2
    • Analytical Methods in Pharmaceuticals 3

Fanta Fall

34 papers receiving 369 citations

Peers

Fanta Fall
Comparison fields: 5 of 81
  • Dermatology 48
  • Microbiology 3
  • Cell Biology 41
  • Analytical Chemistry 25
  • Surgery 90
Replace F. J. Bloomfield with:
F. J. Bloomfield Ireland
D. Innes Cargill United States
Marzena Dworacka Poland
Carter D. Brooks United States
Ejaife O. Agbani Canada
Eva Knuplez Austria
Brian M. Morrissey United States
J.A. Cotterill United Kingdom
A. Sevinç Türkiye
Dalia M. Badary Egypt
Fanta Fall relative to F. J. Bloomfield Ireland F. J. Bloomfield's profile →
Citations per field
00.5×5×10×12.9×
F. J. Bloomfield · 1×
Citations per year

Countries citing papers authored by Fanta Fall

Since Specialization
Citations

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

Fields of papers citing papers by Fanta Fall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fanta 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 Fanta Fall Line = papers co-authored together Fanta 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 200679
2 201870
3 201738
4 201621
5 202020
6 201917
7 201714
8 201714
9 201714
10 201211
11 201611
12 20119
13 20179
14 20228
15 20047
16 20105
17 20205
18 19994
19 20194
20 20073

About Fanta Fall

Fanta Fall is a scholar working on Surgery, Analytical Chemistry, Molecular Biology, Dermatology and Epidemiology, having authored 36 papers that have together received 384 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Analytical Methods in Pharmaceuticals (3 papers), Diagnosis and treatment of tuberculosis (3 papers), Sphingolipid Metabolism and Signaling (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Trypanosoma species research and implications (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Dermatology (48 citations), Microbiology (3 citations), Cell Biology (41 citations), Analytical Chemistry (25 citations) and Surgery (90 citations). Fanta Fall has collaborated with scholars based in Senegal, France and Belgium. Frequent co-authors include Fatimata Ly, Mikaël Croyal, Michel Krempf, Antoine Mahé, J L Perret, Alexandre Dumont, Audrey Aguesse, Stéphanie Billon‐Crossouard, Stanislas Grassin‐Delyle and Estelle Nobécourt. Their work appears in journals such as Scientific Reports, Journal of Chromatography B, Arteriosclerosis Thrombosis and Vascular Biology, Clinical Chemistry and Laboratory Medicine (CCLM) and Parasitology Research.

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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