Leo Beigelman

1.3k citations
32 papers · 917 indexed · h-index 15

Impact in

    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 and COVID-19 Research
  • Epidemiology top 10%
    • Respiratory viral infections research
    • Pneumonia and Respiratory Infections

Papers in

Leo Beigelman

31 papers receiving 885 citations

Peers

Leo Beigelman
Comparison fields: 5 of 73
  • Infectious Diseases 378
  • Epidemiology 428
  • Virology 38
  • Hepatology 58
  • Molecular Biology 320
Replace Birgit Deiman with:
Birgit Deiman Netherlands
Jianling Armstrong United States
Marija Prhavc United States
Sébastien Bontems Belgium
Feng Cao United States
Maja Šantak Croatia
Florence Dô Canada
Carolyn A. Luscombe Australia
M E Davies United States
Rachel Trowbridge Australia
Leo Beigelman relative to Birgit Deiman Netherlands Birgit Deiman's profile →
Citations per field
00.5×7.2×
Birgit Deiman · 1×
Citations per year

Countries citing papers authored by Leo Beigelman

Since Specialization
Citations

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

Fields of papers citing papers by Leo Beigelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2018100
2 201828
3 201738
4 201627
5 20163
6 201614
7 20153
8 2015164
9 20151
10 201440
11 201465
12 20131
13 20133
14 20107
15 20091
16 20031
17 200215
18 20021
19 200012
20 199523

About Leo Beigelman

Leo Beigelman is a scholar working on Hepatology, Infectious Diseases, Epidemiology, Pharmacology and Animal Science and Zoology, having authored 32 papers that have together received 917 indexed citations. Recurring topics across this work include Hepatitis C virus research (10 papers), RNA and protein synthesis mechanisms (8 papers), Respiratory viral infections research (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), HIV/AIDS drug development and treatment (6 papers), Liver Disease Diagnosis and Treatment (4 papers), RNA modifications and cancer (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). The work is most often cited by research in Infectious Diseases (378 citations), Epidemiology (428 citations), Virology (38 citations), Hepatology (58 citations) and Molecular Biology (320 citations). Leo Beigelman has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Julian Symons, Jérôme Deval, Nassim Usman, Natalia Dyatkina, Guangyi Wang, Zhinan Jin, Sushmita Chanda, Lawrence M. Blatt, Qingling Zhang and Daniel Herschlag. Their work appears in journals such as Journal of Hepatology, Open Forum Infectious Diseases, Antimicrobial Agents and Chemotherapy, Nucleic Acids Research and Journal of Medicinal Chemistry.

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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