Mark Dolev

2.1k citations
50 papers · 1.4k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Mark Dolev

50 papers receiving 1.4k citations

Hit Papers

Humoral immune response to COVID-19 mRNA vaccine in patients with multiple sclerosis treated with high-efficacy disease-modifying therapies 2021 · 235 citations
235202120262022202450100150200

Peers

Mark Dolev
Comparison fields: 5 of 92
  • Pathology and Forensic Medicine 1.0k
  • Neurology 441
  • Infectious Diseases 441
  • Physical Therapy, Sports Therapy and Rehabilitation 53
  • Immunology 257
Replace David Magalashvili with:
David Magalashvili Israel
Gabriel Pardo United States
Christopher McGuigan Ireland
Shlomo Flechter Israel
Owen Pearson United Kingdom
Yael Stern Israel
Paul Browne United States
Vahid Shaygannejad Iran
Naila Makhani United States
Ernest Willoughby New Zealand
Mark Dolev relative to David Magalashvili Israel David Magalashvili's profile →
Citations per field
00.5×5.9×
David Magalashvili · 1×
Citations per year

Countries citing papers authored by Mark Dolev

Since Specialization
Citations

This map shows the geographic impact of Mark Dolev'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 Mark Dolev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Dolev more than expected).

Fields of papers citing papers by Mark Dolev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Dolev. 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 Mark Dolev. The network helps show where Mark Dolev may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Dolev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Dolev Line = papers co-authored together Mark Dolev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20234
3 20234
4 20232
5 20226
6 20216
7 202156
8 202117
9 20213
10 20216
11 20213
12 202012
13 201814
14 2013119
15 201220
16 201033
17 200474
18 200422
19 2004141
20 200027

About Mark Dolev

Mark Dolev is a scholar working on Pathology and Forensic Medicine, Neurology, Neurology, Hematology and Orthopedics and Sports Medicine, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (40 papers), Peripheral Neuropathies and Disorders (12 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Autoimmune and Inflammatory Disorders Research (8 papers), Rheumatoid Arthritis Research and Therapies (6 papers), Cytokine Signaling Pathways and Interactions (4 papers), Effects of Vibration on Health (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.0k citations), Neurology (441 citations), Infectious Diseases (441 citations), Physical Therapy, Sports Therapy and Rehabilitation (53 citations) and Immunology (257 citations). Mark Dolev has collaborated with scholars based in Israel, Switzerland and Slovakia. Frequent co-authors include Anat Achiron, David Magalashvili, Shay Menascu, Michael Gurevich, Yael Stern, Uri Givon, Alon Kalron, Sapir Dreyer-Alster, Shlomo Flechter and Gil Harari. Their work appears in journals such as PLoS ONE, Multiple Sclerosis and Related Disorders, Multiple Sclerosis Journal, Journal of Neurology and Therapeutic Advances in Neurological Disorders.

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.

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