Leda Bassit

3.1k citations
87 papers · 1.9k indexed · h-index 24

Impact in

  • Hepatology top 1%
    • Hepatitis C virus research
    • HIV/AIDS drug development and treatment
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • Hepatitis C virus research 41
    • HIV/AIDS drug development and treatment 27
    • SARS-CoV-2 and COVID-19 Research 13
    • SARS-CoV-2 detection and testing 9

Leda Bassit

82 papers receiving 1.9k citations

Peers

Leda Bassit
Comparison fields: 5 of 107
  • Hepatology 808
  • Infectious Diseases 758
  • Virology 163
  • Epidemiology 916
  • Neurology 136
Replace Suzanne J. F. Kaptein with:
Suzanne J. F. Kaptein Belgium
Xuesen Zhao China
Quanxin Long China
Yongtao Sun China
Jieli Hu China
Marek Widera Germany
Xiaonan Zhang China
Kailang Wu China
Jérôme Deval United States
Isabelle Imbert France
Leda Bassit relative to Suzanne J. F. Kaptein Belgium Suzanne J. F. Kaptein's profile →
Citations per field
00.5×4.2×
Suzanne J. F. Kaptein · 1×
Citations per year

Countries citing papers authored by Leda Bassit

Since Specialization
Citations

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

Fields of papers citing papers by Leda Bassit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20245
4 20246
5 20235
6 202311
7 20225
8 20227
9 202210
10 20220
11 20217
12 202118
13 20192
14 201623
15 2014194
16 201116
17 201041
18 200217
19 199831
20 19976

About Leda Bassit

Leda Bassit is a scholar working on Hepatology, Infectious Diseases, Virology, Epidemiology and Transplantation, having authored 87 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hepatitis C virus research (41 papers), Hepatitis B Virus Studies (34 papers), HIV/AIDS drug development and treatment (27 papers), SARS-CoV-2 and COVID-19 Research (13 papers), HIV Research and Treatment (9 papers), Liver Disease Diagnosis and Treatment (9 papers), SARS-CoV-2 detection and testing (9 papers) and Biochemical and Molecular Research (7 papers). The work is most often cited by research in Hepatology (808 citations), Infectious Diseases (758 citations), Virology (163 citations), Epidemiology (916 citations) and Neurology (136 citations). Leda Bassit has collaborated with scholars based in United States, Brazil and Belgium. Frequent co-authors include Raymond F. Schinazi, Franck Amblard, Maryam Ehteshami, Christina Gavegnano, Tuğba Öztürk, Payel Chatterjee, Ting Nie, Hassan Javanbakht, Edward M. Kennedy and H. Mueller. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Clinical Infectious Diseases and Virus 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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