Nir Goldstein

835 citations
31 papers · 655 · h-index 15

Impact in

Papers in

Nir Goldstein

31 papers receiving 643 citations

Peers

Nir Goldstein
Comparison fields: 5 of 82
  • Epidemiology 200
  • Biomedical Engineering 162
  • Physiology 93
  • Endocrine and Autonomic Systems 19
  • Health Informatics 6
Replace Tim Lubbers with:
Tim Lubbers Netherlands
Jesse de Metz Netherlands
Eric T. Chang United States
Bradley P. Stetzer United States
Hans Ulrich Iselin Switzerland
Danielle L. Brunjes United States
Reenam S. Khan United Kingdom
Liam O’Reilly Australia
Srikanth Palanisamy United States
Jan M. Hughes‐Austin United States
Nir Goldstein relative to Tim Lubbers Netherlands Tim Lubbers's profile →
Citations per field
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Tim Lubbers · 1×
Citations per year

Countries citing papers authored by Nir Goldstein

Since Specialization
Citations

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

Fields of papers citing papers by Nir Goldstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201597
2 202083
3 202156
4 202236
5 201632
6 202132
7 202232
8 201731
9 201630
10 202224
11 202022
12 201921
13 202317
14 202116
15 202015
16 201913
17 202113
18 202012
19 202112
20 201511

About Nir Goldstein

Nir Goldstein is a scholar working on Biomedical Engineering, Epidemiology, Endocrine and Autonomic Systems, Physiology and Surgery, having authored 31 papers that have together received 655 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (12 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Autophagy in Disease and Therapy (3 papers), Hemodynamic Monitoring and Therapy (2 papers), Bariatric Surgery and Outcomes (2 papers), Regulation of Appetite and Obesity (2 papers), Cancer, Hypoxia, and Metabolism (1 paper) and Thermal Regulation in Medicine (1 paper). The work is most often cited by research in Epidemiology (200 citations), Biomedical Engineering (162 citations), Physiology (93 citations), Endocrine and Autonomic Systems (19 citations) and Health Informatics (6 citations). Nir Goldstein has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Yftach Gepner, Arik Eisenkraft, Yulia Haim, Assaf Rudich, Dean Nachman, Matthias Blüher, Boris Kirshtein, Ilana Harman‐Boehm, Iris Shai and Nava Bashan. Their work appears in journals such as Frontiers in Physiology, Journal of Clinical Medicine, Digital Health, Biomedicines and Journal of General Internal Medicine.

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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