Liat Hogen

693 citations
39 papers · 461 · h-index 12

Impact in

Papers in

Liat Hogen

30 papers receiving 452 citations

Peers

Liat Hogen
Comparison fields: 5 of 36
  • Obstetrics and Gynecology 228
  • Reproductive Medicine 226
  • Oncology 64
  • Cancer Research 22
  • Pathology and Forensic Medicine 21
Replace Anjali R. Jotwani with:
Anjali R. Jotwani United States
Konstantina Tatsi Greece
Víctor Lago Spain
Zohreh Yousefi Iran
Carlos Chaves Faloppa Brazil
Tommaso Grassi Italy
Kevin L. Hall United States
Justine M. Briët Netherlands
L Ševčík Czechia
Nicola M. Spirtos United States
Liat Hogen relative to Anjali R. Jotwani United States Anjali R. Jotwani's profile →
Citations per field
00.5×2.6×
Anjali R. Jotwani · 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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020145
2 201737
3 201931
4 202029
5 201626
6 201921
7 202017
8 202015
9 202214
10 202113
11 202113
12 202112
13 201710
14 20219
15 20229
16 20227
17 20187
18 20207
19 20206
20 20215

About Liat Hogen

Liat Hogen is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Oncology, Epidemiology and Surgery, having authored 39 papers that have together received 461 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (21 papers), Endometrial and Cervical Cancer Treatments (6 papers), Frailty in Older Adults (3 papers), Enhanced Recovery After Surgery (2 papers), Cancer Genomics and Diagnostics (2 papers), Genetic factors in colorectal cancer (2 papers), PARP inhibition in cancer therapy (2 papers) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Obstetrics and Gynecology (228 citations), Reproductive Medicine (226 citations), Oncology (64 citations), Cancer Research (22 citations) and Pathology and Forensic Medicine (21 citations). Liat Hogen has collaborated with scholars based in Canada, United States and Egypt. Frequent co-authors include Marcus Q. Bernardini, Taymaa May, Sarah E. Ferguson, Danielle Vicus, Stéphane Laframboise, Lilian T. Gien, 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 Surgical Oncology, Journal of Clinical Oncology and Molecular 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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