D.А. Kudlаy
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Immunology and Allergy top 5%
- Allergic Rhinitis and Sensitization
Papers in
-
- Tuberculosis Research and Epidemiology 74
- SARS-CoV-2 and COVID-19 Research 18
- COVID-19 Clinical Research Studies 17
- Immunology 60
- Immunodeficiency and Autoimmune Disorders 28
- Co-authors
- Анна Старшинова (60 shared papers)Musa Khaitov (29 shared papers)P. K. Yаblonskiy (17 shared papers)Igor Kudryavtsev (15 shared papers)Анна Малкова (15 shared papers)Yulia Zinchenko (16 shared papers)Andrey А. Svistunov (2 shared papers)I.P. Shilovskiy (21 shared papers)
In The Last Decade
D.А. Kudlаy
232 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 121
- Infectious Diseases 619
- Immunology and Allergy 125
- Immunology 257
- Dermatology 101
- General Social Sciences 40
Countries citing papers authored by D.А. Kudlаy
This map shows the geographic impact of D.А. Kudlаy'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 D.А. Kudlаy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.А. Kudlаy more than expected).
Fields of papers citing papers by D.А. Kudlаy
This network shows the impact of papers produced by D.А. Kudlаy. 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 D.А. Kudlаy. The network helps show where D.А. Kudlаy may publish in the future.
Co-authors
The 25 scholars most cited alongside D.А. Kudlаy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 292 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 118 | |
| 2 | 2020 | 89 | |
| 3 | 2021 | 64 | |
| 4 | 2019 | 40 | |
| 5 | 2021 | 39 | |
| 6 | 2022 | 37 | |
| 7 | 2022 | 31 | |
| 8 | 2022 | 29 | |
| 9 | 2018 | 29 | |
| 10 | 2020 | 29 | |
| 11 | 2021 | 28 | |
| 12 | 2022 | 28 | |
| 13 | 2020 | 28 | |
| 14 | 2019 | 27 | |
| 15 | 2023 | 26 | |
| 16 | 2022 | 25 | |
| 17 | 2023 | 25 | |
| 18 | 2020 | 24 | |
| 19 | 2023 | 22 | |
| 20 | 2013 | 22 |
About D.А. Kudlаy
D.А. Kudlаy is a scholar working on Infectious Diseases, Immunology, Surgery, Epidemiology and Physiology, having authored 292 papers that have together received 1.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (74 papers), Immunodeficiency and Autoimmune Disorders (28 papers), Infectious Diseases and Tuberculosis (25 papers), Diagnosis and treatment of tuberculosis (23 papers), Hemophilia Treatment and Research (18 papers), SARS-CoV-2 and COVID-19 Research (18 papers), COVID-19 Clinical Research Studies (17 papers) and Pneumocystis jirovecii pneumonia detection and treatment (14 papers). The work is most often cited by research in Infectious Diseases (619 citations), Immunology and Allergy (125 citations), Immunology (257 citations), Dermatology (101 citations) and General Social Sciences (40 citations). D.А. Kudlаy has collaborated with scholars based in Russia, Croatia and Israel. Frequent co-authors include Анна Старшинова, Musa Khaitov, P. K. Yаblonskiy, Igor Kudryavtsev, Анна Малкова, Yulia Zinchenko, Andrey А. Svistunov, I.P. Shilovskiy, Yehuda Shoenfeld and Smirnov Vv. Their work appears in journals such as International Journal of Molecular Sciences, Blood, Life, Tuberculosis and Frontiers in Medicine.
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.