Martin S. Mok

1.9k citations
82 papers · 1.4k indexed · h-index 22
Topics
Anesthesia and Pain Management (35 papers)Anesthesia and Sedative Agents (33 papers)Anesthesia and Neurotoxicity Research (16 papers)
Partner nations
TaiwanUnited StatesItaly

In The Last Decade

Martin S. Mok

77 papers receiving 1.3k citations

Peers

Martin S. Mok
Comparison fields: 5 of 114
  • Surgery 798
  • Anesthesiology and Pain Medicine 580
  • Cardiology and Cardiovascular Medicine 181
  • Pharmacology 158
  • Small Animals 135
Replace Scott S. Reuben with:
Scott S. Reuben United States
Jean Xavier Mazoit France
M. Pinaud France
Frédéric Camu Belgium
P D Booker United Kingdom
Zafer Pamukçu Türkiye
Jacques E. Chelly United States
G. Hempelmann Germany
R. K. Mirakhur United Kingdom
B. Biber Sweden
Martin S. Mok relative to Scott S. Reuben United States Scott S. Reuben's profile →
Citations per field
00.5×1.5×
Scott S. Reuben · 1×
Citations per year

Countries citing papers authored by Martin S. Mok

Since Specialization
Citations

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

Fields of papers citing papers by Martin S. Mok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin S. 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 Martin S. Mok. The network helps show where Martin S. Mok may publish in the future.

Co-authorship network of co-authors of Martin S. Mok

This figure shows the co-authorship network connecting the top 25 collaborators of Martin S. Mok. A scholar is included among the top collaborators of Martin S. Mok based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin S. Mok. Martin S. Mok is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 14
2 50
3 33
4 9
5 71
6 22
7 23
8 80
9 42
10 3
11 17
12 5
13 36
14 59
15 3
16 2
17
Combination of intramuscular Ketorolac and low dose epidural morphine for the relief of post-caesarean pain.
17
18 9
19 2
20 13

About Martin S. Mok

Martin S. Mok is a scholar working on Anesthesiology and Pain Medicine, Developmental Neuroscience and Critical Care and Intensive Care Medicine, having authored 82 papers that have together received 1.4k indexed citations. Recurring topics across this work include Anesthesia and Pain Management (35 papers), Anesthesia and Sedative Agents (33 papers) and Anesthesia and Neurotoxicity Research (16 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (580 citations), Small Animals (135 citations) and Surgery (798 citations). Martin S. Mok has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include Wei‐Wu Pang, Min‐Ho Huang, Wei‐Zen Sun, Minho Hwang, Huei‐Ming Yeh, Maurice Lippmann, M. Lippmann, Shen–Kou Tsai, Chao‐Shun Lin and Ching‐Hsiung Lin. Their work appears in journals such as Pain, Critical Care Medicine and Anesthesiology.

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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