Анна Старшинова
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Physiology top 10%
- Sarcoidosis and Beryllium Toxicity Research
Papers in
-
- Tuberculosis Research and Epidemiology 56
- COVID-19 Clinical Research Studies 11
- SARS-CoV-2 and COVID-19 Research 8
- Surgery 33
- Diagnosis and treatment of tuberculosis 21
- Infectious Diseases and Tuberculosis 17
- Co-authors
- D.А. Kudlаy (60 shared papers)P. K. Yаblonskiy (36 shared papers)Yulia Zinchenko (32 shared papers)Анна Малкова (21 shared papers)Igor Kudryavtsev (19 shared papers)Yehuda Shoenfeld (12 shared papers)Natalia Basantsova (11 shared papers)Leonid P. Churilov (10 shared papers)
In The Last Decade
Анна Старшинова
97 papers receiving 764 citations
Peers
Comparison fields: 5 of 78
- Infectious Diseases 325
- Physiology 205
- Neurology 105
- General Social Sciences 20
- Pulmonary and Respiratory Medicine 135
Countries citing papers authored by Анна Старшинова
This map shows the geographic impact of Анна Старшинова'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 Анна Старшинова with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Анна Старшинова more than expected).
Fields of papers citing papers by Анна Старшинова
This network shows the impact of papers produced by Анна Старшинова. 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 Анна Старшинова. The network helps show where Анна Старшинова may publish in the future.
Co-authors
The 25 scholars most cited alongside Анна Старшинова, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 65 | |
| 2 | 2021 | 62 | |
| 3 | 2020 | 57 | |
| 4 | 2019 | 50 | |
| 5 | 2021 | 38 | |
| 6 | 2018 | 29 | |
| 7 | 2020 | 28 | |
| 8 | 2020 | 24 | |
| 9 | 2020 | 20 | |
| 10 | 2022 | 19 | |
| 11 | 2019 | 17 | |
| 12 | 2020 | 17 | |
| 13 | 2021 | 17 | |
| 14 | 2023 | 16 | |
| 15 | 2018 | 15 | |
| 16 | 2023 | 13 | |
| 17 | 2021 | 13 | |
| 18 | 2023 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2017 | 10 |
About Анна Старшинова
Анна Старшинова is a scholar working on Infectious Diseases, Surgery, Physiology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 114 papers that have together received 786 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (56 papers), Sarcoidosis and Beryllium Toxicity Research (22 papers), Diagnosis and treatment of tuberculosis (21 papers), Infectious Diseases and Tuberculosis (17 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (13 papers), COVID-19 Clinical Research Studies (11 papers), Immunodeficiency and Autoimmune Disorders (8 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). The work is most often cited by research in Infectious Diseases (325 citations), Physiology (205 citations), Neurology (105 citations), General Social Sciences (20 citations) and Pulmonary and Respiratory Medicine (135 citations). Анна Старшинова has collaborated with scholars based in Russia, Israel and China. Frequent co-authors include D.А. Kudlаy, P. K. Yаblonskiy, Yulia Zinchenko, Анна Малкова, Igor Kudryavtsev, Yehuda Shoenfeld, Natalia Basantsova, Leonid P. Churilov, Maria Pavlova and М. К. Серебрякова. Their work appears in journals such as Life, Tuberculosis, International Journal of Molecular Sciences, Frontiers in Medicine and Pathogens.
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.