Dan Grisaru

116 papers receiving 2.9k citations

Peers

Dan Grisaru
Comparison fields: 5 of 125
  • Reproductive Medicine 478
  • Obstetrics and Gynecology 408
  • Pharmacology 601
  • Genetics 252
  • Hematology 235
Replace Harriet Olivia Smith with:
Harriet Olivia Smith United States
Sławomir Wołczyński Poland
Jaume Reventós Spain
Cynthia A. Heinlein United States
Kazuto Nakamura Japan
Patricia Ruíz Germany
Yusuke Kobayashi Japan
Sunghoon Kim South Korea
Satoru Nagase Japan
Li Qin China
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Citations per field
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Citations per year

Countries citing papers authored by Dan Grisaru

Since Specialization
Citations

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

Fields of papers citing papers by Dan Grisaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999316
2
Normal and abnormal 18F-FDG endometrial and ovarian uptake in pre- and postmenopausal patients: assessment by PET/CT.
2004226
3 2018213
4 1990139
5 2010103
6 2004102
7 200179
8 199967
9 200261
10 200660
11 200160
12 201357
13 200057
14 201451
15 200448
16 200446
17 199545
18 200344
19 201241
20 201340

About Dan Grisaru

Dan Grisaru is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Genetics, Pharmacology and Immunology, having authored 127 papers that have together received 3.0k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (16 papers), Ovarian cancer diagnosis and treatment (15 papers), Cholinesterase and Neurodegenerative Diseases (12 papers), Computational Drug Discovery Methods (6 papers), Reproductive System and Pregnancy (6 papers), Endometriosis Research and Treatment (6 papers), Cervical Cancer and HPV Research (6 papers) and Hemoglobinopathies and Related Disorders (5 papers). The work is most often cited by research in Reproductive Medicine (478 citations), Obstetrics and Gynecology (408 citations), Pharmacology (601 citations), Genetics (252 citations) and Hematology (235 citations). Dan Grisaru has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Hermona Soreq, Amiram Eldor, Joseph B. Lessing, Meira Sternfeld, DAVID M. GLICK, Varda R. Deutsch, Einat Even‐Sapir, Ariel J. Jaffa, Hedva Lerman and Ur Metser. Their work appears in journals such as Gynecologic Oncology, International Journal of Gynecological Cancer, American Journal of Obstetrics and Gynecology, International Journal of Gynecology & Obstetrics and European Journal of Obstetrics & Gynecology and Reproductive Biology.

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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