Amit Mayer

557 citations
11 papers · 320 · h-index 7

Impact in

Papers in

Amit Mayer

10 papers receiving 313 citations

Peers

Amit Mayer
Comparison fields: 5 of 55
  • Obstetrics and Gynecology 173
  • Pediatrics, Perinatology and Child Health 143
  • Complementary and Manual Therapy 12
  • Neurology 38
  • Endocrinology, Diabetes and Metabolism 36
Replace Hema Venkataraman with:
Hema Venkataraman United Kingdom
Andrés Calle Ecuador
Luigi Puccio Italy
Laurie Schumacher United States
Anne Cathrine B. Thuesen Denmark
Jorge Dores Portugal
Junji Takaya Japan
Stephanie Padberg Germany
Robert Holmes United Kingdom
Mahlatse Makgoba United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Amit Mayer

Since Specialization
Citations

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

Fields of papers citing papers by Amit Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2009195
2 200553
3 200716
4 201115
5
Dead Sea mud packs for chronic low back pain.
201412
6 201311
7 20076
8 20056
9 20065
10 20231
11 20060

About Amit Mayer

Amit Mayer is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Epidemiology, Neurology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 320 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (5 papers), Birth, Development, and Health (3 papers), Gestational Diabetes Research and Management (3 papers), Cardiovascular Issues in Pregnancy (2 papers), Assisted Reproductive Technology and Twin Pregnancy (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Neuroblastoma Research and Treatments (2 papers) and Online and Blended Learning (1 paper). The work is most often cited by research in Obstetrics and Gynecology (173 citations), Pediatrics, Perinatology and Child Health (143 citations), Complementary and Manual Therapy (12 citations), Neurology (38 citations) and Endocrinology, Diabetes and Metabolism (36 citations). Amit Mayer has collaborated with scholars based in Israel, United States and Cyprus. Frequent co-authors include Arnon Wiznitzer, Eyal Sheiner, Lena Novack, Harel Gilutz, Victor Novack, Atul Malhotra, Nicolás Jarufe, D. Mirza, Simon R. Bramhall and C. Coldham. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Archives of Gynecology and Obstetrics, Digestive Surgery, European Journal of Obstetrics & Gynecology and Reproductive Biology and Nurse Education Today.

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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