Tamar Kadar

86 papers receiving 2.2k citations

Peers

Tamar Kadar
Comparison fields: 5 of 113
  • Behavioral Neuroscience 281
  • Developmental Neuroscience 119
  • Neurology 227
  • Biological Psychiatry 64
  • Cellular and Molecular Neuroscience 465
Replace Shlomit Dachir with:
Shlomit Dachir Israel
Toru Moriguchi Japan
Alfredo Feria‐Velasco Mexico
Takanori Miki Japan
Cláudia Cavadas Portugal
Wei Zhu China
Roberto Avola Italy
Hui‐Ching Lin Taiwan
Takeshi Yabe Japan
Matthew J. Sanders United States
Tamar Kadar relative to Shlomit Dachir Israel Shlomit Dachir's profile →
Citations per field
00.5×3.1×
Shlomit Dachir · 1×
Citations per year

Countries citing papers authored by Tamar Kadar

Since Specialization
Citations

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

Fields of papers citing papers by Tamar Kadar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990136
2 1994136
3 2008113
4 199595
5 199389
6 200282
7 200679
8 200178
9 199871
10 199270
11 199170
12 200164
13 199664
14 199256
15 200549
16 201346
17 201444
18 199439
19 200739
20 201137

About Tamar Kadar

Tamar Kadar is a scholar working on Plant Science, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Molecular Biology and Ophthalmology, having authored 88 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (30 papers), Corneal Surgery and Treatments (20 papers), Neuroscience and Neuropharmacology Research (16 papers), Glaucoma and retinal disorders (10 papers), Memory and Neural Mechanisms (10 papers), Ocular Surface and Contact Lens (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Corneal surgery and disorders (8 papers). The work is most often cited by research in Behavioral Neuroscience (281 citations), Developmental Neuroscience (119 citations), Neurology (227 citations), Biological Psychiatry (64 citations) and Cellular and Molecular Neuroscience (465 citations). Tamar Kadar has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Shlomit Dachir, Aharon Levy, Rita Sahar, Michael Silbermann, Rachel Brandeis, Adina Amir, Shlomo Shapira, Shira Chapman, A. Lévy and Maayan Cohen. Their work appears in journals such as Brain Research, Experimental Eye Research, Current Eye Research, Human & Experimental Toxicology and Toxicology Letters.

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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