Gideon Friedman

37 papers receiving 1.0k citations

Peers

Gideon Friedman
Comparison fields: 5 of 105
  • Rheumatology 358
  • Demography 163
  • Health 77
  • Hematology 74
  • Obstetrics and Gynecology 45
Replace Michiko Kurosawa with:
Michiko Kurosawa Japan
Indrani M. Nandy United States
Jae Woong Sull South Korea
Qiong He China
A.N.G. Clark United Kingdom
Rima Rozen Canada
A. McElduff Australia
Dorothy Tatter United States
Jessica T. Kubo United States
Maria Olsen Netherlands
Gideon Friedman relative to Michiko Kurosawa Japan Michiko Kurosawa's profile →
Citations per field
00.5×5×10×14.8×
Michiko Kurosawa · 1×
Citations per year

Countries citing papers authored by Gideon Friedman

Since Specialization
Citations

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

Fields of papers citing papers by Gideon Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999225
2 1999115
3 200774
4 200668
5 200058
6 200053
7 200350
8 200145
9 201033
10
2756GG genotype of methionine synthase reductase gene is more prevalent in rheumatoid arthritis patients treated with methotrexate and is associated with methotrexate-induced nodulosis.
200729
11 199029
12 198328
13 200623
14 201319
15 200319
16 198019
17 199019
18 200319
19 197718
20 200017

About Gideon Friedman

Gideon Friedman is a scholar working on Rheumatology, Physiology, Surgery, Endocrinology, Diabetes and Metabolism and Demography, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Folate and B Vitamins Research (6 papers), Alzheimer's disease research and treatments (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Esophageal and GI Pathology (3 papers), Elder Abuse and Neglect (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Influenza Virus Research Studies (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Rheumatology (358 citations), Demography (163 citations), Health (77 citations), Hematology (74 citations) and Obstetrics and Gynecology (45 citations). Gideon Friedman has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Arie Ben‐Yehuda, Jacob Selhub, Miri Weiss Cohen, Roni Gagin, Yechiel Friedlander, Miriam Kidron, Hanoch Bar-On, Yechezkiel Stein, Olga Stein and Irwin H. Rosenberg. Their work appears in journals such as Metabolism, Journal of Nutrition, Journal of the American Geriatrics Society, Mechanisms of Ageing and Development and International Psychogeriatrics.

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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