Yury Popov
- Hepatology top 0.2%
- Epidemiology top 1%
- Molecular Biology top 5%
- Surgery top 2%
- Oncology top 5%
- Co-authors
- Detlef SchuppanDeanna SverdlovEleonora PatsenkerSusan B. LiuKahini A. VaidNaoki IkenagaZhenwei PengFelix Stickel
- Topics
- Liver physiology and pathology (29 papers)Liver Disease Diagnosis and Treatment (28 papers)Pediatric Hepatobiliary Diseases and Treatments (10 papers)
- Cited by
- HepatologyEpidemiologyImmunology
- Partner nations
- United StatesGermanyChina
In The Last Decade
Yury Popov
71 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Hepatology 2.3k
- Epidemiology 2.2k
- Molecular Biology 1.5k
- Surgery 1.1k
- Oncology 554
Countries citing papers authored by Yury Popov
This map shows the geographic impact of Yury Popov'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 Yury Popov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yury Popov more than expected).
Fields of papers citing papers by Yury Popov
This network shows the impact of papers produced by Yury Popov. 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 Yury Popov. The network helps show where Yury Popov may publish in the future.
Co-authorship network of co-authors of Yury Popov
This figure shows the co-authorship network connecting the top 25 collaborators of Yury Popov. A scholar is included among the top collaborators of Yury Popov 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 Yury Popov. Yury Popov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | Hepatocyte mitochondria-derived danger signals directly activate hepatic stellate cells and drive progression of liver fibrosisbreakdown → | 228 |
| 9 | 181 | |
| 10 | 48 | |
| 11 | 45 | |
| 12 | 7 | |
| 13 | 57 | |
| 14 | 19 | |
| 15 | 29 | |
| 16 | 219 | |
| 17 | Mass-encoded synthetic biomarkers for multiplexed urinary monitoring of disease | 151 |
| 18 | 111 | |
| 19 | GUT-DERIVED BACTERIAL PRODUCTS DRIVE PROGRESSION OF LIVER FIBROSIS IN MDR2-/- MICE: INVOLVEMENT OF LPS AND TLR4 | 1 |
| 20 | 42 |
About Yury Popov
Yury Popov is a scholar working on Hepatology, Epidemiology and Physiology, having authored 71 papers that have together received 4.8k indexed citations. Recurring topics across this work include Liver physiology and pathology (29 papers), Liver Disease Diagnosis and Treatment (28 papers) and Pediatric Hepatobiliary Diseases and Treatments (10 papers). The work is most often cited by research in Hepatology (2.3k citations), Epidemiology (2.2k citations) and Immunology (543 citations). Yury Popov has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Detlef Schuppan, Deanna Sverdlov, Eleonora Patsenker, Detlef Schuppan, Detlef Schuppan, Susan B. Liu, Kahini A. Vaid, Naoki Ikenaga, Zhenwei Peng and Felix Stickel. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.
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.