Maayan Waldman

23 papers receiving 1.0k citations

Peers

Maayan Waldman
Comparison fields: 5 of 82
  • Geriatrics and Gerontology 82
  • Biochemistry 117
  • Cardiology and Cardiovascular Medicine 319
  • Physiology 54
  • Endocrinology, Diabetes and Metabolism 156
Replace Italia Papparella with:
Italia Papparella Italy
Laia Salvadó Spain
Gautham Yepuri United States
Audrey Ayer France
Chintan N. Koyani Austria
Changhan Ouyang China
Eun Nim Kim South Korea
Cecilia Morgantini Canada
Ping Gu China
Maayan Waldman relative to Italia Papparella Italy Italia Papparella's profile →
Citations per field
00.5×2×3×4×4.7×
Italia Papparella · 1×
Citations per year

Countries citing papers authored by Maayan Waldman

Since Specialization
Citations

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

Fields of papers citing papers by Maayan Waldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020169
2 2018153
3 2021119
4 201675
5 201671
6 201866
7 201338
8 202138
9 201737
10 201534
11 201333
12 202231
13 201829
14 201629
15 201927
16 202016
17 202015
18 202014
19 202114
20 201512

About Maayan Waldman

Maayan Waldman is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Biochemistry, Endocrine and Autonomic Systems and Molecular Biology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Cardiovascular Function and Risk Factors (6 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Regulation of Appetite and Obesity (3 papers), Cannabis and Cannabinoid Research (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Geriatrics and Gerontology (82 citations), Biochemistry (117 citations), Cardiology and Cardiovascular Medicine (319 citations), Physiology (54 citations) and Endocrinology, Diabetes and Metabolism (156 citations). Maayan Waldman has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Edith Hochhauser, Michael Arad, Dan J. Aravot, Nader G. Abraham, Asher Shainberg, Vadim Nudelman, Dor Yadin, Stephen J. Peterson, Ran Kornowski and Keren Cohen. Their work appears in journals such as Experimental Cell Research, Cardiovascular Diabetology, Prostaglandins & Other Lipid Mediators, International Journal of Molecular Sciences and Biochemical Pharmacology.

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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