David M. Kushner

2.7k citations
76 papers · 2.0k · h-index 23

Impact in

Papers in

David M. Kushner

73 papers receiving 1.9k citations

Peers

David M. Kushner
Comparison fields: 5 of 129
  • Obstetrics and Gynecology 405
  • Reproductive Medicine 221
  • Oncology 405
  • Internal Medicine 31
  • Pharmacology 77
Replace Noor J. Al-Hammadi with:
Noor J. Al-Hammadi United States
Savitri Ramcharan United States
C Hermon United Kingdom
Christof E. Schaefer Germany
Joseph W. Kelaghan United States
José Mendes Aldrighi Brazil
Viveca Odlind Sweden
Mindy E. Goldman United States
Beth Elisa Juliar United States
Andy Petroianu Brazil
David M. Kushner relative to Noor J. Al-Hammadi United States Noor J. Al-Hammadi's profile →
Citations per field
00.5×2×4×6.8×
Noor J. Al-Hammadi · 1×
Citations per year

Countries citing papers authored by David M. Kushner

Since Specialization
Citations

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

Fields of papers citing papers by David M. Kushner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017262
2 2003233
3 2012125
4 2015121
5 2015114
6 201175
7 201373
8 200067
9 201462
10
Suppression of ovarian carcinoma cell growth in vivo by the interferon-inducible plasma membrane protein, phospholipid scramblase 1.
200256
11 201255
12 201749
13 200842
14 201639
15 200437
16 200537
17 200733
18 198229
19 200928
20 201428

About David M. Kushner

David M. Kushner is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Oncology, Surgery and Psychiatry and Mental health, having authored 76 papers that have together received 2.0k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (15 papers), Cancer survivorship and care (7 papers), Ovarian cancer diagnosis and treatment (5 papers), Uterine Myomas and Treatments (5 papers), Sexual function and dysfunction studies (5 papers), Anesthesia and Pain Management (4 papers), Healthcare professionals’ stress and burnout (4 papers) and Gynecological conditions and treatments (3 papers). The work is most often cited by research in Obstetrics and Gynecology (405 citations), Reproductive Medicine (221 citations), Oncology (405 citations), Internal Medicine (31 citations) and Pharmacology (77 citations). David M. Kushner has collaborated with scholars based in United States, China and Türkiye. Frequent co-authors include Ellen M. Hartenbach, Steven R. Lindheim, Elizabeth Anna Pritts, David L. Olive, Jeanne Carter, J. Keogh Rash, Ahmed Al‐Niaimi, Songwon Seo, Joseph P. Connor and Robert H. Silverman. Their work appears in journals such as Gynecologic Oncology, American Journal of Obstetrics and Gynecology, Obstetrics and Gynecology, International Journal of Gynecological Cancer and Obstetrical & Gynecological Survey.

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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