Д. А. Гусев

490 citations
54 papers · 125 · h-index 5

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 12
    • Hepatitis B Virus Studies 11
    • Pneumocystis jirovecii pneumonia detection and treatment 6
    • COVID-19 Clinical Research Studies 7
    • SARS-CoV-2 and COVID-19 Research 5

Д. А. Гусев

32 papers receiving 113 citations

Peers

Д. А. Гусев
Comparison fields: 5 of 51
  • Infectious Diseases 65
  • General Social Sciences 10
  • Hepatology 21
  • Applied Microbiology and Biotechnology 5
  • Virology 11
Replace Giovanni Cenderello with:
Giovanni Cenderello Italy
Beatriz Álvarez Spain
Margherita Sambo Italy
Claudia Fabrizio Italy
Viola Guardigni Italy
İrem Akdemir Kalkan Türkiye
N Bolokadze Georgia
José M Miró Spain
Giuseppe Bruno Italy
Olivia Zaegel‐Faucher France
Д. А. Гусев relative to Giovanni Cenderello Italy Giovanni Cenderello's profile →
Citations per field
00.5×7.3×
Giovanni Cenderello · 1×
Citations per year

Countries citing papers authored by Д. А. Гусев

Since Specialization
Citations

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

Fields of papers citing papers by Д. А. Гусев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Д. А. Гусев. 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 Д. А. Гусев. The network helps show where Д. А. Гусев may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202029
2 202114
3 202113
4 201810
5 20205
6 20234
7 20194
8 20203
9 20213
10 20193
11 20183
12 20173
13 20222
14 20182
15 20212
16 20212
17 20212
18 20192
19 20202
20 20221

About Д. А. Гусев

Д. А. Гусев is a scholar working on Epidemiology, Infectious Diseases, Hepatology, General Social Sciences and Neurology, having authored 54 papers that have together received 125 indexed citations. Recurring topics across this work include Hepatitis C virus research (16 papers), Liver Disease Diagnosis and Treatment (12 papers), Hepatitis B Virus Studies (11 papers), COVID-19 Clinical Research Studies (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers), HIV, TB, and STIs Epidemiology (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Long-Term Effects of COVID-19 (4 papers). The work is most often cited by research in Infectious Diseases (65 citations), General Social Sciences (10 citations), Hepatology (21 citations), Applied Microbiology and Biotechnology (5 citations) and Virology (11 citations). Д. А. Гусев has collaborated with scholars based in Russia, Germany and United States. Frequent co-authors include N. Yu. Semenova, Olga Kalinina, Vsevolod Zinserling, Виктор Аврутин, Т. Л. Каронова, С. В. Лапин, Vadim Pokrovsky, Vladimir Chulanov, М. N. Zamyatin and К. В. Жданов. Their work appears in journals such as Journal of Fungi, Journal of Clinical Virology, Gut, Antibodies and World Journal of Gastroenterology.

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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