David Rubinstein

5.4k citations
193 papers · 3.8k · h-index 34

Impact in

Papers in

    • Erythrocyte Function and Pathophysiology 16
    • Adipose Tissue and Metabolism 13
    • Diet and metabolism studies 8
    • Pancreatic function and diabetes 14

David Rubinstein

183 papers receiving 3.4k citations

Peers

David Rubinstein
Comparison fields: 5 of 188
  • Biochemistry 286
  • Endocrinology, Diabetes and Metabolism 553
  • Pharmacology 246
  • Clinical Biochemistry 161
  • Surgery 807
Replace Keiichi Kawai with:
Keiichi Kawai Japan
Paul W. Sanders United States
Marina Bianchi Italy
Ivan Diamond United States
D.L. Knook Netherlands
John L. Gordon United Kingdom
Nobuyuki Takahashi Japan
Joël Ménard France
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Citations per field
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Citations per year

Countries citing papers authored by David Rubinstein

Since Specialization
Citations

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

Fields of papers citing papers by David Rubinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992227
2 1985117
3 1963113
4 1979101
5 200388
6 199884
7 196277
8 200669
9 196664
10 197262
11 197562
12
Methanol intoxication with putaminal and white matter necrosis: MR and CT findings.
199562
13 197461
14 198661
15 195356
16 196455
17 197655
18 197054
19 200350
20 198749

About David Rubinstein

David Rubinstein is a scholar working on Physiology, Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 193 papers that have together received 3.8k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (16 papers), Pancreatic function and diabetes (14 papers), Adipose Tissue and Metabolism (13 papers), Liver Disease Diagnosis and Treatment (13 papers), Neonatal Health and Biochemistry (12 papers), Cancer, Lipids, and Metabolism (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Diet and metabolism studies (8 papers). The work is most often cited by research in Biochemistry (286 citations), Endocrinology, Diabetes and Metabolism (553 citations), Pharmacology (246 citations), Clinical Biochemistry (161 citations) and Surgery (807 citations). David Rubinstein has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Orville F. Denstedt, S P Noël, Peter J. Dolphin, Edward J. Escott, John C. Stears, Benoy B. Paul, F. J. Dudley, S. Kashket, Patricia A. Gabow and William D. Kaehny. Their work appears in journals such as Journal of Lipid Research, American Journal of Physiology-Legacy Content, Metabolism, American Journal of Neuroradiology and Biochemical and Biophysical Research Communications.

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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