Koby Mok

11 papers receiving 319 citations

Koby Mok's Hit Papers

Ublituximab versus Teriflunomide in Relapsing Multiple Sclerosis 2022 · 154 citations
1540+1+2Years since publication50100150

Peers

Koby Mok
Comparison fields: 5 of 31
  • Pathology and Forensic Medicine 224
  • Nephrology 18
  • Endocrinology, Diabetes and Metabolism 19
  • Cardiology and Cardiovascular Medicine 19
  • Radiology, Nuclear Medicine and Imaging 16
Replace Amal Mohamad Husein Mackawy with:
Amal Mohamad Husein Mackawy Saudi Arabia
Sabine Gent Germany
Graeme J. Stewart Australia
Antonietta Amedei Italy
Mikihiko Kanasaki Japan
Elizabeth C. Brew United States
Yaopeng Li United States
Lindsey Otten Germany
Maija Mutikainen Finland
Jitka Štekrová Czechia
Koby Mok relative to Amal Mohamad Husein Mackawy Saudi Arabia Amal Mohamad Husein Mackawy's profile →
Citations per field
00.5×2×4×6.3×
Amal Mohamad Husein Mackawy · 1×
Citations per year

Countries citing papers authored by Koby Mok

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

14 of 14 papers shown
#Work
1
Ublituximab versus Teriflunomide in Relapsing Multiple Sclerosis
Hit paper breakdown →
2022154
2 202094
3 200460
4 20244
5 20213
6 20232
7 20232
8 20181
9 20221
10 20221
11 20241
12 20190
13 20220
14 20260

About Koby Mok

Koby Mok is a scholar working on Pathology and Forensic Medicine, Nephrology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Nuclear Energy and Engineering, having authored 14 papers that have together received 323 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (13 papers), Chronic Kidney Disease and Diabetes (1 paper), Renin-Angiotensin System Studies (1 paper) and Hormonal Regulation and Hypertension (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (224 citations), Nephrology (18 citations), Endocrinology, Diabetes and Metabolism (19 citations), Cardiology and Cardiovascular Medicine (19 citations) and Radiology, Nuclear Medicine and Imaging (16 citations). Koby Mok has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Sibyl E. Wray, Michael Weiss, Derrick S. Robertson, Hans‐Peter Hartung, Enrique Álvarez, Peiqing Qian, Bruce Cree, Lawrence Steinman, Wei Hao Zheng and Carlo M. Pesce. Their work appears in journals such as Neurology, New England Journal of Medicine, American Journal of Physiology-Renal Physiology, Frontiers in Neurology and JAMA 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.

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