Karin Shih

1.5k citations
30 papers · 1.1k · h-index 18

Impact in

Papers in

Karin Shih

28 papers receiving 1.1k citations

Peers

Karin Shih
Comparison fields: 5 of 51
  • Obstetrics and Gynecology 452
  • Reproductive Medicine 475
  • Cancer Research 137
  • Oncology 177
  • Pathology and Forensic Medicine 95
Replace Hyo‐Pyo Lee with:
Hyo‐Pyo Lee South Korea
Masamichi Hiura Japan
Roberta Tana Italy
J.A. Pike Canada
Melina Shoni United States
Ryuichiro Tsunematsu Japan
Ian Harley United Kingdom
Ricardo Sáinz de la Cuesta Spain
Stefano Bogliolo Italy
Casey Cosgrove United States
Karin Shih relative to Hyo‐Pyo Lee South Korea Hyo‐Pyo Lee's profile →
Citations per field
00.5×4.1×
Hyo‐Pyo Lee · 1×
Citations per year

Countries citing papers authored by Karin Shih

Since Specialization
Citations

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

Fields of papers citing papers by Karin Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karin Shih. 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 Karin Shih. The network helps show where Karin Shih may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011129
2 2016116
3 2010113
4 200996
5 201082
6 201160
7 201256
8 201247
9 201146
10 201146
11 201041
12 201537
13 200934
14 201232
15 201131
16 201029
17 200928
18 201123
19 201617
20 201910

About Karin Shih

Karin Shih is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (12 papers), Endometrial and Cervical Cancer Treatments (10 papers), Sarcoma Diagnosis and Treatment (3 papers), Intraperitoneal and Appendiceal Malignancies (2 papers), Uterine Myomas and Treatments (2 papers), Testicular diseases and treatments (2 papers), PARP inhibition in cancer therapy (2 papers) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Obstetrics and Gynecology (452 citations), Reproductive Medicine (475 citations), Cancer Research (137 citations), Oncology (177 citations) and Pathology and Forensic Medicine (95 citations). Karin Shih has collaborated with scholars based in United States. Frequent co-authors include S. Dennis, Richard R. Barakat, Nadeem R. Abu‐Rustum, R.R. Barakat, Qin Zhou, Mario M. Leitão, Robert A. Soslow, D.S. Chi, Karuna Garg and Yukio Sonoda. Their work appears in journals such as Gynecologic Oncology, International Journal of Radiation Oncology*Biology*Physics, Neoplasia, Cell Reports and International Journal of Gynecological Pathology.

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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