Igor Karpov

911 citations
40 papers · 384 · h-index 13

Impact in

    • HIV/AIDS Research and Interventions
    • Tuberculosis Research and Epidemiology
    • HIV/AIDS drug development and treatment
    • Virology and Viral Diseases
    • Pneumocystis jirovecii pneumonia detection and treatment

Papers in

    • Liver Disease Diagnosis and Treatment 6
    • Virology and Viral Diseases 4
    • Hepatitis B Virus Studies 4
    • SARS-CoV-2 and COVID-19 Research 3
    • Tuberculosis Research and Epidemiology 3

Igor Karpov

30 papers receiving 376 citations

Peers

Igor Karpov
Comparison fields: 5 of 59
  • Infectious Diseases 117
  • Epidemiology 159
  • Molecular Medicine 24
  • Hepatology 30
  • Virology 18
Replace Wang-Da Liu with:
Wang-Da Liu Taiwan
John Evison Switzerland
Warren Phipps United States
Federica Tordato Italy
Ingrid Steffen Switzerland
Alper Gündüz Türkiye
Chun-Yuan Lee Taiwan
Sophie Abgrall France
Concepció Figueras Spain
Tumena Corrah United Kingdom
Igor Karpov relative to Wang-Da Liu Taiwan Wang-Da Liu's profile →
Citations per field
00.5×10×13×
Wang-Da Liu · 1×
Citations per year

Countries citing papers authored by Igor Karpov

Since Specialization
Citations

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

Fields of papers citing papers by Igor Karpov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201643
2 201335
3 201234
4 201632
5 201330
6 201525
7 201624
8 200723
9 200518
10 201917
11 201815
12 201815
13 201913
14 200812
15 20126
16 20206
17 20125
18 20155
19 20144
20 20194

About Igor Karpov

Igor Karpov is a scholar working on Epidemiology, Infectious Diseases, Hepatology, Oncology and Surgery, having authored 40 papers that have together received 384 indexed citations. Recurring topics across this work include Hepatitis C virus research (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Virology and Viral Diseases (4 papers), Hepatitis B Virus Studies (4 papers), Neutropenia and Cancer Infections (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Tuberculosis Research and Epidemiology (3 papers) and Liver Disease and Transplantation (3 papers). The work is most often cited by research in Infectious Diseases (117 citations), Epidemiology (159 citations), Molecular Medicine (24 citations), Hepatology (30 citations) and Virology (18 citations). Igor Karpov has collaborated with scholars based in Belarus, Denmark and Russia. Frequent co-authors include И. О. Стома, Amanda Mocroft, Ole Kirk, Jens Lundgren, Peré Domingo, Joanne Reekie, Alena Atrasheuskaya, G. M. Ignatyev, Jürgen K. Rockstroh and Daria Podlekareva. Their work appears in journals such as Vaccine, HIV Medicine, Journal of Infection, Transplantation and AIDS.

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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