Maya Cohen

55 papers receiving 1.2k citations

Peers

Maya Cohen
Comparison fields: 5 of 113
  • Nephrology 123
  • Virology 33
  • Internal Medicine 23
  • Surgery 279
  • Endocrinology, Diabetes and Metabolism 106
Replace Bijal Patel with:
Bijal Patel United Kingdom
Martine Szyper‐Kravitz Israel
Franz Ludwig Dumoulin Germany
Margalit Lorber Israel
Naoto Kuroda Japan
Carol Wilcox United States
Torsten Witte Germany
Leslie Schrieber Australia
Karen Schreiber Denmark
Isabel Bielsa Spain
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Citations per field
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Citations per year

Countries citing papers authored by Maya Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Maya Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004128
2 1980104
3 200281
4 200577
5 201876
6 200571
7
Cytomegalovirus ventriculoencephalitis in AIDS. A syndrome with distinct clinical and pathologic features.
199361
8 200946
9 200143
10 200542
11 201639
12 201636
13
Computed tomography angiography in pulmonary hypertension.
200833
14
The effect of ketamine on pulmonary artery pressure. An experimental and clinical study.
197429
15 201127
16 199826
17 197425
18 201322
19 201622
20 201219

About Maya Cohen

Maya Cohen is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (5 papers), Parathyroid Disorders and Treatments (3 papers), Renal cell carcinoma treatment (2 papers), Oral and Maxillofacial Pathology (2 papers), Thyroid and Parathyroid Surgery (2 papers), Infectious Diseases and Tuberculosis (2 papers), Bone health and treatments (2 papers) and Urological Disorders and Treatments (2 papers). The work is most often cited by research in Nephrology (123 citations), Virology (33 citations), Internal Medicine (23 citations), Surgery (279 citations) and Endocrinology, Diabetes and Metabolism (106 citations). Maya Cohen has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Ahuva Grubstein, David Shitrit, Thomas Shpitzer, Alexander Belenky, John Murray, S Wallace, J Zornoza, Raphael Feinmesser, Gil N. Bachar and Ayten Cangır. Their work appears in journals such as The American Journal of the Medical Sciences, American Journal of Roentgenology, Thrombosis Research, The Prostate and Science Signaling.

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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