Liat Cohen

29 papers receiving 552 citations

Peers

Liat Cohen
Comparison fields: 5 of 102
  • Radiology, Nuclear Medicine and Imaging 182
  • Ophthalmology 51
  • Plant Science 210
  • Virology 24
  • Health, Toxicology and Mutagenesis 73
Replace Stefano De Benedetti with:
Stefano De Benedetti Italy
L. Leino Finland
A. J. Mueller United States
Ching‐Ying Wu Taiwan
Yanling Dong China
J.P. Renard France
Zhihong Zhang China
J. A. Render United States
P Georges France
Sylvia Evelyn Hering Brazil
Liat Cohen relative to Stefano De Benedetti Italy Stefano De Benedetti's profile →
Citations per field
00.5×2.7×
Stefano De Benedetti · 1×
Citations per year

Countries citing papers authored by Liat Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Liat Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008114
2 201267
3 201349
4 201445
5 201139
6 201235
7 198731
8 201827
9 201225
10 201821
11 201317
12 201315
13 201714
14 201912
15 201710
16 20198
17 20177
18
Bilateral ureteral obstruction in a cat due to a ureteral transitional cell carcinoma.
20127
19 20145
20 20224

About Liat Cohen

Liat Cohen is a scholar working on Radiology, Nuclear Medicine and Imaging, Plant Science, Small Animals, Computer Networks and Communications and Molecular Biology, having authored 32 papers that have together received 567 indexed citations. Recurring topics across this work include Corneal Surgery and Treatments (9 papers), Pesticide Exposure and Toxicity (6 papers), Pediatric Urology and Nephrology Studies (2 papers), Retinoids in leukemia and cellular processes (2 papers), Glaucoma and retinal disorders (2 papers), Resource-Constrained Project Scheduling (2 papers), Insect and Pesticide Research (2 papers) and Veterinary Orthopedics and Neurology (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (182 citations), Ophthalmology (51 citations), Plant Science (210 citations), Virology (24 citations) and Health, Toxicology and Mutagenesis (73 citations). Liat Cohen has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Shlomit Dachir, Tamar Kadar, Maayan Cohen, Hila Gutman, Vered Horwitz, Adina Amir, Rachel Brandeis, Rita Sahar, Eliezer Fishbine and J. Turetz. Their work appears in journals such as Experimental Eye Research, Cornea, Current Eye Research, Artificial Intelligence and Journal of Experimental 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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