Dan Grisaru

118 papers receiving 2.8k citations

Peers

Dan Grisaru
Comparison fields: 5 of 119
  • Reproductive Medicine 446
  • Obstetrics and Gynecology 381
  • Pharmacology 569
  • Genetics 228
  • Hematology 209
Replace Harriet O. Smith with:
Harriet O. Smith United States
Masahide Ohmichi Japan
Sławomir Wołczyński Poland
Cynthia Heinlein United States
Rui Huang China
Jaume Reventós Spain
Kazuto Nakamura Japan
Patricia Ruíz Germany
Yusuke Kobayashi Japan
Sunghoon Kim South Korea
Dan Grisaru relative to Harriet O. Smith United States Harriet O. Smith's profile →
Citations per field
00.5×9.9×
Harriet O. Smith · 1×
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 1999303
2
Normal and abnormal 18F-FDG endometrial and ovarian uptake in pre- and postmenopausal patients: assessment by PET/CT.
2004205
3 2018203
4 1990130
5 200497
6 201094
7 200175
8 199963
9 200259
10 200158
11 201356
12 200655
13 201448
14 200447
15 200047
16 200343
17 200443
18 199542
19 201240
20 201340

About Dan Grisaru

Dan Grisaru is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Molecular Biology, Surgery and Pharmacology, having authored 127 papers that have together received 2.8k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (16 papers), Endometrial and Cervical Cancer Treatments (15 papers), Cholinesterase and Neurodegenerative Diseases (12 papers), Computational Drug Discovery Methods (6 papers), Endometriosis Research and Treatment (6 papers), Reproductive System and Pregnancy (6 papers), Cervical Cancer and HPV Research (5 papers) and Gynecological conditions and treatments (5 papers). The work is most often cited by research in Reproductive Medicine (446 citations), Obstetrics and Gynecology (381 citations), Pharmacology (569 citations), Genetics (228 citations) and Hematology (209 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 Glick, Varda Deutsch, Ariel J. Jaffa, Einat Even‐Sapir, Hedva Lerman and Marjorie Pick. 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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