Ivan Staikov
Impact in
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Cerebrovascular and Carotid Artery Diseases 7
- Genetics 6
- Chronic Lymphocytic Leukemia Research 6
- Co-authors
- Martin S. Weber (6 shared papers)Xavier Montalbán (6 shared papers)Karolina Piasecka‐Stryczynska (6 shared papers)Jerry S. Wolinsky (6 shared papers)Emily C. Martin (6 shared papers)Douglas L. Arnold (6 shared papers)Sana Syed (2 shared papers)Fernando Dangond (5 shared papers)
- Journals
- Neurology (4 papers)New England Journal of Medicine (2 papers)Clinics in Dermatology (2 papers)Neuroradiology (1 paper)Stroke (1 paper)
- Partner nations
- BulgariaSwitzerlandGermany
In The Last Decade
Ivan Staikov
17 papers receiving 534 citations
Ivan Staikov's Hit Papers
Peers
Comparison fields: 5 of 64
- Pathology and Forensic Medicine 143
- Genetics 76
- Neurology 91
- Immunology 96
- Hematology 50
Countries citing papers authored by Ivan Staikov
This map shows the geographic impact of Ivan Staikov'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 Staikov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Staikov more than expected).
Fields of papers citing papers by Ivan Staikov
This network shows the impact of papers produced by Ivan Staikov. 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 Staikov. The network helps show where Ivan Staikov may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Staikov, 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 | Placebo-Controlled Trial of an Oral BTK Inhibitor in Multiple Sclerosis Hit paper breakdown → | 2019 | 253 |
| 2 | 2000 | 85 | |
| 3 | 2024 | 41 | |
| 4 | 2002 | 37 | |
| 5 | 2018 | 33 | |
| 6 | 1999 | 26 | |
| 7 | 1995 | 21 | |
| 8 | 2013 | 20 | |
| 9 | 2002 | 14 | |
| 10 | 2021 | 5 | |
| 11 | 2015 | 3 | |
| 12 | 2022 | 3 | |
| 13 | 2019 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2014 | 0 | |
| 19 | 2011 | 0 |
About Ivan Staikov
Ivan Staikov is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Epidemiology, Hematology and Neurology, having authored 19 papers that have together received 547 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), Acute Ischemic Stroke Management (4 papers), Acute Lymphoblastic Leukemia research (2 papers), Acne and Rosacea Treatments and Effects (2 papers), Herpesvirus Infections and Treatments (2 papers) and Facial Nerve Paralysis Treatment and Research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (143 citations), Genetics (76 citations), Neurology (91 citations), Immunology (96 citations) and Hematology (50 citations). Ivan Staikov has collaborated with scholars based in Bulgaria, Switzerland and Germany. Frequent co-authors include Martin S. Weber, Xavier Montalbán, Karolina Piasecka‐Stryczynska, Jerry S. Wolinsky, Emily C. Martin, Douglas L. Arnold, Sana Syed, Fernando Dangond, Heinrich P. Mattle and Luca Remonda. Their work appears in journals such as Neurology, New England Journal of Medicine, Clinics in Dermatology, Neuroradiology and Stroke.
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.