Liat Hogen

673 citations
36 papers · 428 indexed · h-index 11

Impact in

Papers in

Liat Hogen

28 papers receiving 422 citations

Peers

Liat Hogen
Comparison fields: 5 of 36
  • Reproductive Medicine 302
  • Obstetrics and Gynecology 274
  • Oncology 81
  • Epidemiology 94
  • Cancer Research 35
Replace Anna Dańska-Bidzińska with:
Anna Dańska-Bidzińska Poland
Anjali R. Jotwani United States
Elke E.M. Peters Netherlands
Sang‐Young Ryu South Korea
Nicoletta D’Alessandris Italy
Carlos Chaves Faloppa Brazil
Marc P.L.M. Snijders Netherlands
Zohreh Yousefi Iran
Tommaso Grassi Italy
Alan C. Schlaerth United States
Liat Hogen relative to Anna Dańska-Bidzińska Poland Anna Dańska-Bidzińska's profile →
Citations per field
00.5×5.8×
Anna Dańska-Bidzińska · 1×
Citations per year

Countries citing papers authored by Liat Hogen

Since Specialization
Citations

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

Fields of papers citing papers by Liat Hogen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020135
2 201737
3 201931
4 202026
5 201625
6 201920
7 202017
8 202112
9 202012
10 202111
11 202111
12 201710
13 202210
14 20229
15 20219
16 20187
17 20227
18 20207
19 20205
20 20215

About Liat Hogen

Liat Hogen is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Geriatrics and Gerontology, Surgery and Epidemiology, having authored 36 papers that have together received 428 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (23 papers), Endometrial and Cervical Cancer Treatments (15 papers), Intraperitoneal and Appendiceal Malignancies (8 papers), Endometriosis Research and Treatment (4 papers), Cervical Cancer and HPV Research (4 papers), Frailty in Older Adults (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Reproductive Medicine (302 citations), Obstetrics and Gynecology (274 citations), Oncology (81 citations), Epidemiology (94 citations) and Cancer Research (35 citations). Liat Hogen has collaborated with scholars based in Canada, United States and Egypt. Frequent co-authors include Marcus Q. Bernardini, Danielle Vicus, Sarah E. Ferguson, Taymaa May, Lilian T. Gien, Stéphane Laframboise, Geneviève Bouchard‐Fortier, Allan Covens, Al Covens and Sharon Nofech‐Mozes. Their work appears in journals such as International Journal of Gynecological Cancer, Gynecologic Oncology, Journal of Clinical Oncology, Journal of Surgical Oncology and Frontiers in Oncology.

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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