Shir Dar

742 citations
21 papers · 510 · h-index 10

Impact in

Papers in

Shir Dar

19 papers receiving 497 citations

Peers

Shir Dar
Comparison fields: 5 of 48
  • Reproductive Medicine 368
  • Pediatrics, Perinatology and Child Health 337
  • Public Health, Environmental and Occupational Health 359
  • Obstetrics and Gynecology 29
  • Demography 18
Replace J. Ryan Martin with:
J. Ryan Martin United States
M.J. Pelinck Netherlands
Sigal Klipstein United States
H. Abdalla United Kingdom
Mary M. Francis United States
Denis A. Vaughan United States
Lisbeth Prætorius Denmark
Frank Vandekerckhove Belgium
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Citations per field
00.5×4.3×
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Citations per year

Countries citing papers authored by Shir Dar

Since Specialization
Citations

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

Fields of papers citing papers by Shir Dar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201495
2 201389
3 201456
4 201455
5 201352
6 201447
7 201432
8 201419
9 201513
10 201310
11 20168
12
[Do poor-responder patients benefit from increasing the daily gonadotropin dose from 300 to 450 IU during controlled ovarian hyperstimulation for IVF?].
20158
13 20177
14 20176
15
Do we need routine complete blood count following vaginal delivery?
20076
16 20134
17 20141
18 20141
19 20141
20
Management of dystocia in a goat: a case report.
20120

About Shir Dar

Shir Dar is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Reproductive Medicine, Obstetrics and Gynecology and Surgery, having authored 21 papers that have together received 510 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (11 papers), Assisted Reproductive Technology and Twin Pregnancy (9 papers), Ovarian function and disorders (8 papers), Sperm and Testicular Function (3 papers), Prenatal Screening and Diagnostics (3 papers), Global Maternal and Child Health (3 papers), Disaster Response and Management (2 papers) and Reproductive Health and Technologies (2 papers). The work is most often cited by research in Reproductive Medicine (368 citations), Pediatrics, Perinatology and Child Health (337 citations), Public Health, Environmental and Occupational Health (359 citations), Obstetrics and Gynecology (29 citations) and Demography (18 citations). Shir Dar has collaborated with scholars based in Israel, Canada and Sweden. Frequent co-authors include Clifford Librach, Tal Lazer, P. S. Shah, Jigal Haas, Raoul Orvieto, Ronit Machtinger, Alon Kedem, Eran Zilberberg, Sergey I. Moskovtsev and Sonja A. Swanson. Their work appears in journals such as Fertility and Sterility, Journal of Ovarian Research, Human Reproduction, Journal of Molecular Neuroscience and American Journal of Obstetrics and Gynecology.

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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