Omar Bagasra

9.0k citations
163 papers · 7.0k indexed · 2 hit papers · h-index 43

Omar Bagasra

157 papers receiving 6.7k citations

Hit Papers

Cultured adherent cells from marrow can serve as long-las...199520262005201519952014250500750

Peers

Omar Bagasra
Comparison fields: 5 of 161
  • Molecular Biology 1.9k
  • Virology 1.7k
  • Epidemiology 1.4k
  • Immunology 1.3k
  • Infectious Diseases 1.2k
Replace Walter Malorni with:
Walter Malorni Italy
Stanley A. Schwartz United States
Mauro Piacentini Italy
Giorgio Zauli Italy
Arnold B. Rabson United States
David J. Kelvin Canada
Sudhir Gupta United States
Ying Zhang China
T Kishimoto Japan
Omar Bagasra relative to Walter Malorni Italy Walter Malorni's profile →
Citations per field
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Citations per year

Countries citing papers authored by Omar Bagasra

Since Specialization
Citations

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

Fields of papers citing papers by Omar Bagasra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omar Bagasra

This figure shows the co-authorship network connecting the top 25 collaborators of Omar Bagasra. A scholar is included among the top collaborators of Omar Bagasra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Omar Bagasra. Omar Bagasra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 6
3 40
4 10
5 116
6
Seroprevalence of co-infection of hepatitis B and hepatitis C genotypes among adult female population of Karachi, Pakistan.
3
7 7
8
Bioinformatics Tools: Searching for Markers in DNA/RNA Sequences.
3
9 54
10 3
11 229
12 106
13 58
14 13
15 63
16 44
17 90
18 26
19 14
20 80

About Omar Bagasra

Omar Bagasra is a scholar working on Virology, Infectious Diseases and Immunology, having authored 163 papers that have together received 7.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (55 papers), HIV/AIDS drug development and treatment (22 papers) and HIV/AIDS Research and Interventions (17 papers). The work is most often cited by research in Virology (1.7k citations), Infectious Diseases (1.2k citations) and Immunology (1.3k citations). Omar Bagasra has collaborated with scholars based in United States, Pakistan and Netherlands. Frequent co-authors include Roger J. Pomerantz, Donald Gene Pace, Zhabiz Golkar, Lisa Bobroski, Harold W. Lischner, Andre Kajdacsy‐Balla, Richard Tawadros, Thikkavarapu Seshamma, Lewis F. Neville and Guenther Mathiak. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological 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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