Koby Mok
Impact in
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies
-
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
-
- Multiple Sclerosis Research Studies 4
-
- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Sibyl Wray (11 shared papers)Michael Weiss (7 shared papers)Edward Fox (6 shared papers)Lawrence Steinman (8 shared papers)Peiqing Qian (9 shared papers)Matilde Inglese (2 shared papers)Kathryn Sandberg (1 shared paper)Wei Zheng (1 shared paper)
- Journals
- Neurology (8 papers)Frontiers in Neurology (1 paper)American Journal of Physiology-Renal Physiology (1 paper)JAMA Neurology (1 paper)New England Journal of Medicine (1 paper)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
Koby Mok
11 papers receiving 270 citations
Koby Mok's Hit Papers
Peers
Comparison fields: 5 of 56
- Pathology and Forensic Medicine 144
- Immunology 80
- Neurology 41
- Endocrinology, Diabetes and Metabolism 36
- Radiology, Nuclear Medicine and Imaging 44
Countries citing papers authored by Koby Mok
This map shows the geographic impact of Koby Mok'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 Koby Mok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koby Mok more than expected).
Fields of papers citing papers by Koby Mok
This network shows the impact of papers produced by Koby Mok. 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 Koby Mok. The network helps show where Koby Mok may publish in the future.
Co-authors
The 25 scholars most cited alongside Koby Mok, 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 | Ublituximab versus Teriflunomide in Relapsing Multiple Sclerosis Hit paper breakdown → | 2022 | 119 |
| 2 | 2020 | 84 | |
| 3 | 2004 | 58 | |
| 4 | 2021 | 3 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2018 | 1 | |
| 9 | 2023 | 1 | |
| 10 | Evaluating in-house anti-serum against B cells with flow cytometry. | 1993 | 1 |
| 11 | 2023 | 1 | |
| 12 | 2026 | 0 | |
| 13 | 2022 | 0 | |
| 14 | 2024 | 0 |
About Koby Mok
Koby Mok is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 271 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Multiple Sclerosis Research Studies (4 papers), Immunotherapy and Immune Responses (3 papers), Acute Lymphoblastic Leukemia research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Glycosylation and Glycoproteins Research (1 paper), Protein purification and stability (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (144 citations), Immunology (80 citations), Neurology (41 citations), Endocrinology, Diabetes and Metabolism (36 citations) and Radiology, Nuclear Medicine and Imaging (44 citations). Koby Mok has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Sibyl Wray, Michael Weiss, Edward Fox, Lawrence Steinman, Peiqing Qian, Matilde Inglese, Kathryn Sandberg, Wei Zheng, Hans‐Peter Hartung and Derrick Robertson. Their work appears in journals such as Neurology, Frontiers in Neurology, American Journal of Physiology-Renal Physiology, JAMA Neurology and New England Journal of Medicine.
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.