Amnon Amit

28 papers receiving 717 citations

Peers

Amnon Amit
Comparison fields: 5 of 59
  • Reproductive Medicine 328
  • Obstetrics and Gynecology 122
  • Oncology 408
  • Genetics 131
  • Cancer Research 55
Replace Ming-Chieh Lin with:
Ming-Chieh Lin Taiwan
Alessandro Bovicelli Italy
Kenji Umayahara Japan
Marie‐Aude Lefrère‐Belda France
Natalie Banet United States
N. Vavra Austria
E Kučera Austria
Yasunori Hashiguchi Japan
Steven Piver United States
George Vlahos Greece
Amnon Amit relative to Ming-Chieh Lin Taiwan Ming-Chieh Lin's profile →
Citations per field
00.5×3.4×
Ming-Chieh Lin · 1×
Citations per year

Countries citing papers authored by Amnon Amit

Since Specialization
Citations

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

Fields of papers citing papers by Amnon Amit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011378
2 2012102
3 201235
4 199235
5 199432
6 201324
7 201121
8 202019
9 201915
10 199410
11 20179
12 20198
13 20177
14 20106
15 20185
16 20135
17 20134
18 20204
19 20214
20 20213

About Amnon Amit

Amnon Amit is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Oncology, Surgery and Public Health, Environmental and Occupational Health, having authored 31 papers that have together received 739 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (15 papers), Ovarian cancer diagnosis and treatment (13 papers), Uterine Myomas and Treatments (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), PARP inhibition in cancer therapy (3 papers), Cancer Risks and Factors (2 papers), Cancer Research and Treatments (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Reproductive Medicine (328 citations), Obstetrics and Gynecology (122 citations), Oncology (408 citations), Genetics (131 citations) and Cancer Research (55 citations). Amnon Amit has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Beth Y. Karlan, Jan Lubiński, Mark Wickens, Lee-may Chen, Ursula A. Matulonis, Katherine M. Bell‐McGuinn, Stan B. Kaye, Elizabeth Lowe, Michael Friedländer and Ignace Vergote. Their work appears in journals such as European Journal of Obstetrics & Gynecology and Reproductive Biology, Journal of Clinical Oncology, Journal of Lower Genital Tract Disease, Microscopy Research and Technique and Fertility and Sterility.

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