M.S. Kao

775 citations
24 papers · 636 · h-index 13

Impact in

Papers in

M.S. Kao

22 papers receiving 593 citations

Peers

M.S. Kao
Comparison fields: 5 of 67
  • Obstetrics and Gynecology 434
  • Reproductive Medicine 167
  • Epidemiology 110
  • Pathology and Forensic Medicine 49
  • Surgery 109
Replace J. A. Lejárcegui with:
J. A. Lejárcegui Spain
Roberta Tana Italy
Shih‐Ya Ma Taiwan
J. E. Johnsson Sweden
Daniel Donato United States
Melina Shoni United States
Shinichi Togami Japan
A DelMaschio Italy
Valérie Dubé Canada
Shinichiro Minobe Japan
M.S. Kao relative to J. A. Lejárcegui Spain J. A. Lejárcegui's profile →
Citations per field
00.5×1.5×1.9×
J. A. Lejárcegui · 1×
Citations per year

Countries citing papers authored by M.S. Kao

Since Specialization
Citations

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

Fields of papers citing papers by M.S. Kao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198674
2 198873
3 198972
4 198764
5 198755
6 198749
7 198548
8
Resistance to cytolysis by tumor necrosis factor alpha in malignant gynecological cell lines is associated with the expression of protein(s) that prevent the activation of phospholipase A2 by tumor necrosis factor alpha.
199233
9 198929
10 198620
11 198017
12 198815
13 200015
14 198712
15 201012
16 199511
17 200311
18
Expression of a resistance mechanism in ovarian and cervical carcinoma cells prevents their lysis by gamma-interferon.
199010
19 19907
20 20066

About M.S. Kao

M.S. Kao is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Surgery, Epidemiology and Molecular Biology, having authored 24 papers that have together received 636 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (12 papers), Ovarian cancer diagnosis and treatment (8 papers), Cervical Cancer and HPV Research (5 papers), Uterine Myomas and Treatments (4 papers), Advanced Radiotherapy Techniques (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Cancer Treatment and Pharmacology (2 papers) and Colorectal and Anal Carcinomas (2 papers). The work is most often cited by research in Obstetrics and Gynecology (434 citations), Reproductive Medicine (167 citations), Epidemiology (110 citations), Pathology and Forensic Medicine (49 citations) and Surgery (109 citations). M.S. Kao has collaborated with scholars based in United States, Ireland and India. Frequent co-authors include H. Marvin Camel, Andrew E. Galakatos, Perry W. Grigsby, Carlos A. Pérez, Robert R. Kuske, Mary Ann Hederman, Carlos A. Perez, John Leslie Collins, Carlos A. Perez and Allan J. Jacobs. Their work appears in journals such as Gynecologic Oncology, International Journal of Radiation Oncology*Biology*Physics, Obstetrical & Gynecological Survey, The Journal of Immunology and International Journal of Gynecology & Obstetrics.

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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