J E Mok

425 citations
27 papers · 362 · h-index 11

Impact in

Papers in

    • Ovarian cancer diagnosis and treatment 6
    • Endometriosis Research and Treatment 3
    • Extracellular vesicles in disease 3
    • Muscle Physiology and Disorders 2

J E Mok

26 papers receiving 350 citations

Peers

J E Mok
Comparison fields: 5 of 59
  • Obstetrics and Gynecology 67
  • Reproductive Medicine 71
  • Genetics 99
  • Molecular Biology 114
  • Oncology 34
Replace E. Piazzola with:
E. Piazzola Italy
Thomas A. Lallas United States
Shu‐Chin Chien Taiwan
Daniela Moncini Italy
Janine Lombard Australia
Renée Perrier Canada
Shahin Shajahan United States
Weizhi Xue Hong Kong
Zehra Ordulu United States
Jane Moorhead United Kingdom
J E Mok relative to E. Piazzola Italy E. Piazzola's profile →
Citations per field
00.5×4.5×
E. Piazzola · 1×
Citations per year

Countries citing papers authored by J E Mok

Since Specialization
Citations

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

Fields of papers citing papers by J E Mok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J E 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 J E Mok Line = papers co-authored together J E Mok links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Loss of FHIT expression in cervical carcinoma cell lines and primary tumors.
1997128
2 199836
3 200631
4
Lamellar body count in amniotic fluid as a rapid screening test for fetal lung maturity.
199627
5 199620
6 202116
7 202015
8 200213
9 200613
10 200612
11 202310
12 20217
13 20057
14 20245
15 20024
16 19983
17 20213
18 20182
19 20032
20 20062

About J E Mok

J E Mok is a scholar working on Reproductive Medicine, Molecular Biology, Obstetrics and Gynecology, Surgery and Epidemiology, having authored 27 papers that have together received 362 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (6 papers), Endometrial and Cervical Cancer Treatments (6 papers), Endometriosis Research and Treatment (3 papers), Extracellular vesicles in disease (3 papers), Cervical Cancer and HPV Research (2 papers), Adipose Tissue and Metabolism (2 papers), Muscle Physiology and Disorders (2 papers) and Uterine Myomas and Treatments (2 papers). The work is most often cited by research in Obstetrics and Gynecology (67 citations), Reproductive Medicine (71 citations), Genetics (99 citations), Molecular Biology (114 citations) and Oncology (34 citations). J E Mok has collaborated with scholars based in South Korea, Puerto Rico and United States. Frequent co-authors include Young Tae Kim, K. V. Shah, R.Y. Lei, Joshua T Vogelstein, Núbia Muñóz, F. Xavier Bosch, David L. Greenspan, Rong Wu, Denise C. Connolly and Kathleen R. Cho. Their work appears in journals such as International Journal of Gynecological Cancer, Nanomedicine Nanotechnology Biology and Medicine, Acta Obstetricia Et Gynecologica Scandinavica, Human Reproduction and The FASEB Journal.

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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