Ram Eitan

1.6k citations
87 papers · 1.2k · h-index 16

Impact in

Papers in

Ram Eitan

77 papers receiving 1.1k citations

Peers

Ram Eitan
Comparison fields: 5 of 64
  • Obstetrics and Gynecology 328
  • Reproductive Medicine 263
  • Cancer Research 135
  • Oncology 159
  • Rheumatology 78
Replace Alexandra Sebastianelli with:
Alexandra Sebastianelli Canada
Emanuela F. T. Veras United States
Rinat Bernstein‐Molho Israel
Marjan Rouzbahman Canada
Huei‐Jean Huang Taiwan
Karim S. ElSahwi United States
Hideaki Yahata Japan
Roman Kocián Czechia
Hermann Brustmann Austria
Ting-Chang Chang Taiwan
Ram Eitan relative to Alexandra Sebastianelli Canada Alexandra Sebastianelli's profile →
Citations per field
00.5×2×3×4×4.9×
Alexandra Sebastianelli · 1×
Citations per year

Countries citing papers authored by Ram Eitan

Since Specialization
Citations

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

Fields of papers citing papers by Ram Eitan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009135
2 2022133
3 201282
4 201948
5 201545
6 201243
7 201543
8 200341
9 200540
10 200735
11 201531
12 201525
13 201825
14 201521
15 202021
16 201520
17 201216
18 201316
19 201916
20 202416

About Ram Eitan

Ram Eitan is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Rheumatology, Oncology and Public Health, Environmental and Occupational Health, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (28 papers), Ovarian cancer diagnosis and treatment (20 papers), Pelvic floor disorders treatments (8 papers), Gynecological conditions and treatments (7 papers), Cancer Immunotherapy and Biomarkers (4 papers), BRCA gene mutations in cancer (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers) and Ectopic Pregnancy Diagnosis and Management (3 papers). The work is most often cited by research in Obstetrics and Gynecology (328 citations), Reproductive Medicine (263 citations), Cancer Research (135 citations), Oncology (159 citations) and Rheumatology (78 citations). Ram Eitan has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Yoav Peled, Haim Krissi, Hanoch Levavi, Gad Sabah, Nadeem R. Abu‐Rustum, Richard R. Barakat, Oded Raban, Eran Ashwal‏, Ilan Bruchim and Liran Hiersch. Their work appears in journals such as Gynecologic Oncology, International Journal of Gynecological Cancer, European Journal of Obstetrics & Gynecology and Reproductive Biology, International Journal of Gynecology & Obstetrics and European Journal of Surgical Oncology.

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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