Serhiy Souchelnytskyi
- Molecular Biology top 2%
- Oncology top 5%
- Cancer Research top 5%
- Pathology and Forensic Medicine top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Carl‐Henrik HeldinAristidis MoustakasPeter ten DijkeUlla EngströmChrister WernstedtAnna DubrovskaIhor YakymovychUlf Hellman
- Topics
- TGF-β signaling in diseases (41 papers)Advanced Proteomics Techniques and Applications (14 papers)Genetic factors in colorectal cancer (11 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaThe EMBO Journal
In The Last Decade
Serhiy Souchelnytskyi
103 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 3.2k
- Oncology 896
- Cancer Research 470
- Pathology and Forensic Medicine 387
- Pulmonary and Respiratory Medicine 322
Countries citing papers authored by Serhiy Souchelnytskyi
This map shows the geographic impact of Serhiy Souchelnytskyi'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 Serhiy Souchelnytskyi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serhiy Souchelnytskyi more than expected).
Fields of papers citing papers by Serhiy Souchelnytskyi
This network shows the impact of papers produced by Serhiy Souchelnytskyi. 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 Serhiy Souchelnytskyi. The network helps show where Serhiy Souchelnytskyi may publish in the future.
Co-authorship network of co-authors of Serhiy Souchelnytskyi
This figure shows the co-authorship network connecting the top 25 collaborators of Serhiy Souchelnytskyi. A scholar is included among the top collaborators of Serhiy Souchelnytskyi 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 Serhiy Souchelnytskyi. Serhiy Souchelnytskyi 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 | 4 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 43 | |
| 9 | 39 | |
| 10 | 60 | |
| 11 | 5 | |
| 12 | 15 | |
| 13 | 37 | |
| 14 | 55 | |
| 15 | 30 | |
| 16 | Transforming growth factor-beta signaling and its role in cancer | 12 |
| 17 | 111 | |
| 18 | 21 | |
| 19 | 359 | |
| 20 | 138 |
About Serhiy Souchelnytskyi
Serhiy Souchelnytskyi is a scholar working on Oncology, Molecular Biology and Cancer Research, having authored 110 papers that have together received 4.1k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (41 papers), Advanced Proteomics Techniques and Applications (14 papers) and Genetic factors in colorectal cancer (11 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Immunology and Allergy (208 citations) and Oncology (896 citations). Serhiy Souchelnytskyi has collaborated with scholars based in Sweden, Ukraine and Qatar. Frequent co-authors include Carl‐Henrik Heldin, Aristidis Moustakas, Peter ten Dijke, Ulla Engström, Christer Wernstedt, Anna Dubrovska, Ihor Yakymovych, Ulf Hellman, Kiyoshi Tamaki and Susanne Grimsby. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The EMBO Journal.
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.