Séverine Ferdinand

36 papers receiving 572 citations

Peers

Séverine Ferdinand
Comparison fields: 5 of 68
  • Molecular Medicine 88
  • Infectious Diseases 319
  • Endocrinology 50
  • Epidemiology 311
  • Genetics 63
Replace Khalid Ahmed Al‐Anazi with:
Khalid Ahmed Al‐Anazi Saudi Arabia
B Mariani Italy
Jin Ai Mary Anne Tan Malaysia
Jae‐Bum Jun South Korea
José Arellano‐Galindo Mexico
Shigeki Misawa Japan
Edith Peters Netherlands
S. P. Georgiadou Greece
Elena Riera Spain
Pascal M.W. Groenen Netherlands
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Citations per field
00.5×3.4×
Khalid Ahmed Al‐Anazi · 1×
Citations per year

Countries citing papers authored by Séverine Ferdinand

Since Specialization
Citations

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

Fields of papers citing papers by Séverine Ferdinand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200048
2 200636
3 200435
4 202031
5 201731
6 200130
7 201628
8 202028
9 200427
10 200627
11 200325
12 200323
13 202119
14 201619
15 201417
16 201717
17 201816
18 200416
19 200214
20 202114

About Séverine Ferdinand

Séverine Ferdinand is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Surgery and Molecular Medicine, having authored 38 papers that have together received 588 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (15 papers), Tuberculosis Research and Epidemiology (14 papers), Antibiotic Resistance in Bacteria (9 papers), Genomics and Phylogenetic Studies (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Hemoglobinopathies and Related Disorders (4 papers), Enterobacteriaceae and Cronobacter Research (4 papers) and Diagnosis and treatment of tuberculosis (4 papers). The work is most often cited by research in Molecular Medicine (88 citations), Infectious Diseases (319 citations), Endocrinology (50 citations), Epidemiology (311 citations) and Genetics (63 citations). Séverine Ferdinand has collaborated with scholars based in Guadeloupe, France and French Guiana. Frequent co-authors include Nalin Rastogi, Christophe Sola, Ingrid Filliol, Antoine Talarmin, Marc Romana, Sébastien Breurec, Antonino Nastasi, Caterina Mammina, L. Brureau and Yann Reynaud. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology, Infection Genetics and Evolution, Research in Microbiology and Frontiers in Microbiology.

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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