Peter Vassilev
- Molecular Biology top 1%
- Genetics top 0.5%
- Physiology top 1%
- Cellular and Molecular Neuroscience top 1%
- Pathology and Forensic Medicine top 1%
- Co-authors
- Edward M. BrownStephen QuinnJing ZhouDean M. HartleyThekla S. DiehlDominic M. WalshDennis J. SelkoeDavid B. Teplow
- Topics
- Ion channel regulation and function (40 papers)Intuitionistic Fuzzy Systems Applications (23 papers)Neuroscience and Neuropharmacology Research (18 papers)
- Partner nations
- United StatesBulgariaRussia
In The Last Decade
Peter Vassilev
107 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 5.3k
- Genetics 2.0k
- Physiology 2.0k
- Cellular and Molecular Neuroscience 1.7k
- Pathology and Forensic Medicine 1.1k
Countries citing papers authored by Peter Vassilev
This map shows the geographic impact of Peter Vassilev'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 Peter Vassilev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Vassilev more than expected).
Fields of papers citing papers by Peter Vassilev
This network shows the impact of papers produced by Peter Vassilev. 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 Peter Vassilev. The network helps show where Peter Vassilev may publish in the future.
Co-authorship network of co-authors of Peter Vassilev
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Vassilev. A scholar is included among the top collaborators of Peter Vassilev 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 Peter Vassilev. Peter Vassilev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | InterCriteria Analysis of the Global Competitiveness Reports: From Efficiency- to Innovation-driven Economies. | 5 |
| 10 | Algorithm for Clustering Data Set Represented by Intuitionistic Fuzzy Estimates | 3 |
| 11 | Application of K-Nearest Neighbor Rule in the Case of Intuitionistic Fuzzy Sets for Pattern Recognition | 1 |
| 12 | On an Intuitionistic Fuzzy Approach for Decision Making in Medicine: Part 2 | 10 |
| 13 | 19 | |
| 14 | 15 | |
| 15 | 190 | |
| 16 | 6 | |
| 17 | 74 | |
| 18 | 69 | |
| 19 | 69 | |
| 20 | Cloning and expression of an inwardly rectifying ATP-regulated potassium channelbreakdown → | 748 |
About Peter Vassilev
Peter Vassilev is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Nephrology, having authored 110 papers that have together received 8.7k indexed citations. Recurring topics across this work include Ion channel regulation and function (40 papers), Intuitionistic Fuzzy Systems Applications (23 papers) and Neuroscience and Neuropharmacology Research (18 papers). The work is most often cited by research in Sensory Systems (996 citations), Nephrology (1.0k citations) and Cellular and Molecular Neuroscience (1.7k citations). Peter Vassilev has collaborated with scholars based in United States, Bulgaria and Russia. Frequent co-authors include Edward M. Brown, Stephen Quinn, Jing Zhou, Dean M. Hartley, Thekla S. Diehl, Dominic M. Walsh, Dennis J. Selkoe, David B. Teplow, Todd Scheuer and William A. Catterall. Their work appears in journals such as Nature, Science and Cell.
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.