I.-M. Shih

15 papers receiving 752 citations

Peers

I.-M. Shih
Comparison fields: 5 of 71
  • Reproductive Medicine 177
  • Immunology and Allergy 73
  • Obstetrics and Gynecology 87
  • Immunology 232
  • Cancer Research 105
Replace Alexander Marmé with:
Alexander Marmé Germany
Ileana Bortolomai Italy
M. Noguchi Japan
Kayo Fujisawa Japan
Bruce R. Rowley United States
Frédéric van den Brûle Belgium
S.V. Kupriyanov Russia
Song Yi Ko United States
Xiaoling She China
H Salazar United States
I.-M. Shih relative to Alexander Marmé Germany Alexander Marmé's profile →
Citations per field
00.5×2.8×
Alexander Marmé · 1×
Citations per year

Countries citing papers authored by I.-M. Shih

Since Specialization
Citations

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

Fields of papers citing papers by I.-M. Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2000107
2 2011102
3
Regulation of Mel-CAM/MUC18 expression on melanocytes of different stages of tumor progression by normal keratinocytes.
1994102
4 200797
5
A new Mel-CAM (CD146)-specific monoclonal antibody, MN-4, on paraffin-embedded tissue.
199875
6 200969
7 199853
8 200751
9 200541
10 199329
11
Diagnostic and biological implications of mel-CAM expression in mesenchymal neoplasms.
199625
12 20057
13 19977
14 20072
15 20171

About I.-M. Shih

I.-M. Shih is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology, Reproductive Medicine and Immunology and Allergy, having authored 15 papers that have together received 768 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (4 papers), Cell Adhesion Molecules Research (3 papers), Gestational Trophoblastic Disease Studies (2 papers), Reproductive System and Pregnancy (2 papers), Reproductive Biology and Fertility (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Galectins and Cancer Biology (1 paper) and Vascular Tumors and Angiosarcomas (1 paper). The work is most often cited by research in Reproductive Medicine (177 citations), Immunology and Allergy (73 citations), Obstetrics and Gynecology (87 citations), Immunology (232 citations) and Cancer Research (105 citations). I.-M. Shih has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include R. J. Kurman, Meenhard Herlyn, David E. Elder, T.‐C. Wu, Ginger J. Gardner, Robert Giuntoli, Robert E. Bristow, Kai Lee Yap, Mark Nesbit and Ritu Salani. Their work appears in journals such as International Journal of Gynecological Cancer, Oncogene, Placenta, Histopathology and European Heart 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.

Explore authors with similar magnitude of impact