М В Сухорукова
- Molecular Medicine top 2%
- Epidemiology
- Molecular Biology
- Applied Microbiology and Biotechnology top 2%
- Endocrinology top 10%
- Co-authors
- Roman S. KozlovMikhail V. EdelsteinE.Yu. SkleenovaА В ДехничMark A. TolemanTimothy R. WalshIvan PalaginТ С Перепанова
- Topics
- Antibiotic Resistance in Bacteria (11 papers)Bacterial Identification and Susceptibility Testing (10 papers)Pneumonia and Respiratory Infections (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Lancet Infectious DiseasesFrontiers in Microbiology
- Partner nations
- RussiaBelarusUnited Kingdom
In The Last Decade
М В Сухорукова
24 papers receiving 302 citations
Peers
Comparison fields: 5 of 54
- Molecular Medicine 209
- Epidemiology 105
- Molecular Biology 88
- Applied Microbiology and Biotechnology 81
- Endocrinology 67
Countries citing papers authored by М В Сухорукова
This map shows the geographic impact of М В Сухорукова'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 М В Сухорукова with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites М В Сухорукова more than expected).
Fields of papers citing papers by М В Сухорукова
This network shows the impact of papers produced by М В Сухорукова. 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 М В Сухорукова. The network helps show where М В Сухорукова may publish in the future.
Co-authorship network of co-authors of М В Сухорукова
This figure shows the co-authorship network connecting the top 25 collaborators of М В Сухорукова. A scholar is included among the top collaborators of М В Сухорукова 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 М В Сухорукова. М В Сухорукова is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 36 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 11 | |
| 14 | 2 | |
| 15 | 26 | |
| 16 | 9 | |
| 17 | 11 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 146 |
About М В Сухорукова
М В Сухорукова is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 29 papers that have together received 323 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (11 papers), Bacterial Identification and Susceptibility Testing (10 papers) and Pneumonia and Respiratory Infections (7 papers). The work is most often cited by research in Molecular Medicine (209 citations), Applied Microbiology and Biotechnology (81 citations) and Endocrinology (67 citations). М В Сухорукова has collaborated with scholars based in Russia, Belarus and United Kingdom. Frequent co-authors include Roman S. Kozlov, Mikhail V. Edelstein, E.Yu. Skleenova, А В Дехнич, Mark A. Toleman, Timothy R. Walsh, Ivan Palagin, Т С Перепанова, Surbhi Malhotra‐Kumar and Svetlana Rachina. Their work appears in journals such as SHILAP Revista de lepidopterología, The Lancet Infectious Diseases and Frontiers in Microbiology.
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.