Ivan Nestorov
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research
- Rheumatoid Arthritis Research and Therapies
Papers in
- Rheumatology 19
- Systemic Lupus Erythematosus Research 11
- Rheumatoid Arthritis Research and Therapies 7
- Co-authors
- Malcolm RowlandAlain MunafoIvelina GueorguievaLeon AaronsMark RoggeЕ. Л. НасоновJennifer VisichThomas M. Ludden
- Journals
- Journal of Pharmacokinetics and Pharmacodynamics (11 papers)The Journal of Clinical Pharmacology (10 papers)CPT Pharmacometrics & Systems Pharmacology (5 papers)British Journal of Clinical Pharmacology (4 papers)Neurology (3 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Ivan Nestorov
88 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 135
- Pharmacology 335
- Rheumatology 476
- Immunology 623
- Hematology 293
- Statistics and Probability 176
Countries citing papers authored by Ivan Nestorov
This map shows the geographic impact of Ivan Nestorov'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 Ivan Nestorov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Nestorov more than expected).
Fields of papers citing papers by Ivan Nestorov
This network shows the impact of papers produced by Ivan Nestorov. 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 Ivan Nestorov. The network helps show where Ivan Nestorov may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Nestorov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 7 | |
| 2 | 2021 | 15 | |
| 3 | 2021 | 34 | |
| 4 | 2019 | 21 | |
| 5 | 2016 | 18 | |
| 6 | 2016 | 19 | |
| 7 | 2014 | 39 | |
| 8 | 2014 | 8 | |
| 9 | 2010 | 32 | |
| 10 | 2008 | 42 | |
| 11 | 2008 | 5 | |
| 12 | 2007 | 9 | |
| 13 | 2007 | 171 | |
| 14 | 2007 | 51 | |
| 15 | 2006 | 40 | |
| 16 | 2004 | 32 | |
| 17 | 2004 | 17 | |
| 18 | 2001 | 27 | |
| 19 | 2001 | 33 | |
| 20 | 1999 | 28 |
About Ivan Nestorov
Ivan Nestorov is a scholar working on Rheumatology, Statistics and Probability, Immunology, Pathology and Forensic Medicine and Pharmacology, having authored 88 papers that have together received 2.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (18 papers), Multiple Sclerosis Research Studies (14 papers), Analytical Chemistry and Chromatography (11 papers), Systemic Lupus Erythematosus Research (11 papers), Pharmacogenetics and Drug Metabolism (8 papers), T-cell and B-cell Immunology (8 papers), Computational Drug Discovery Methods (7 papers) and Rheumatoid Arthritis Research and Therapies (7 papers). The work is most often cited by research in Pharmacology (335 citations), Rheumatology (476 citations), Immunology (623 citations), Hematology (293 citations) and Statistics and Probability (176 citations). Ivan Nestorov has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Malcolm Rowland, Alain Munafo, Ivelina Gueorguieva, Leon Aarons, Mark Rogge, Е. Л. Насонов, Jennifer Visich, Thomas M. Ludden, Xiao Hu and Ralph Zitnik. Their work appears in journals such as Journal of Pharmacokinetics and Pharmacodynamics, The Journal of Clinical Pharmacology, CPT Pharmacometrics & Systems Pharmacology, British Journal of Clinical Pharmacology and Neurology.
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.