Dita Kleinman

428 citations
20 papers · 351 · h-index 9

Impact in

  • Microbiology top 10%
    • Reproductive tract infections research
    • Hypothalamic control of reproductive hormones
    • Ovarian cancer diagnosis and treatment

Papers in

Dita Kleinman

20 papers receiving 320 citations

Peers

Dita Kleinman
Comparison fields: 5 of 48
  • Microbiology 49
  • Reproductive Medicine 58
  • Endocrinology, Diabetes and Metabolism 79
  • Obstetrics and Gynecology 39
  • Genetics 52
Replace Vishakha Mahajan with:
Vishakha Mahajan New Zealand
Hai‐Tao Pan China
Nicole M. Budrys United States
Toshifumi Noguchi Japan
Akemi Koshiba Japan
Yfat Kadan Israel
Francisco Talavera United States
Aili Tagoma Estonia
Xiangcai Wei China
Welch Wr United States
Dita Kleinman relative to Vishakha Mahajan New Zealand Vishakha Mahajan's profile →
Citations per field
00.5×5×10×13.2×
Vishakha Mahajan · 1×
Citations per year

Countries citing papers authored by Dita Kleinman

Since Specialization
Citations

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

Fields of papers citing papers by Dita Kleinman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 199565
2 199458
3 199650
4 199344
5 198538
6 198416
7 199515
8 198314
9 199410
10 19848
11 19847
12 19896
13 19875
14 19874
15 19943
16 20103
17 20102
18 19881
19
Immunoperoxidase assay for detection of specific IgG and IgA antibodies to human spermatozoa in infertile women.
19891
20 20101

About Dita Kleinman

Dita Kleinman is a scholar working on Microbiology, Reproductive Medicine, Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 20 papers that have together received 351 indexed citations. Recurring topics across this work include Reproductive tract infections research (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Reproductive System and Pregnancy (3 papers), Reproductive Biology and Fertility (3 papers), Sperm and Testicular Function (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Cytomegalovirus and herpesvirus research (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Microbiology (49 citations), Reproductive Medicine (58 citations), Endocrinology, Diabetes and Metabolism (79 citations), Obstetrics and Gynecology (39 citations) and Genetics (52 citations). Dita Kleinman has collaborated with scholars based in Israel and United States. Frequent co-authors include Yoav Sharoni, Joseph Levy, Charles T. Roberts, Andrew Victor Schally, Vaclav Insler, Michael Karas, Amos Douvdevani, Derek LeRoith, ISRAEL SAROV and Moshe Phillip. Their work appears in journals such as Gynecologic and Obstetric Investigation, Contraception, American Journal of Obstetrics and Gynecology, Journal of Assisted Reproduction and Genetics and Endocrinology.

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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