Dan Streja

1.8k citations
34 papers · 794 · h-index 15

Impact in

Papers in

Dan Streja

32 papers receiving 713 citations

Peers

Dan Streja
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 378
  • Physiology 195
  • Nephrology 45
  • Cardiology and Cardiovascular Medicine 143
  • Geriatrics and Gerontology 18
Replace Ie Byung Park with:
Ie Byung Park South Korea
Dara P. Schuster United States
Jung‐Nan Wei Taiwan
Sadatoshi Birou Russia
Sharon Torres United States
Mafauzy Mohamed Malaysia
Nadia Lascar United Kingdom
James J. Chamberlain United States
Moo‐Il Kang South Korea
Roopa Mehta Mexico
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Citations per field
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Citations per year

Countries citing papers authored by Dan Streja

Since Specialization
Citations

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

Fields of papers citing papers by Dan Streja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201585
2 199974
3 197872
4 197768
5 197964
6 197754
7 200353
8 198344
9 197744
10 198041
11 201529
12 198127
13
Selective contracting and patient outcomes: a case study of formulary restrictions for selective serotonin reuptake inhibitor antidepressants.
199923
14 198316
15 197916
16 200514
17 198212
18 20049
19 20069
20 19816

About Dan Streja

Dan Streja is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 34 papers that have together received 794 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Lipoproteins and Cardiovascular Health (8 papers), Diabetes Management and Research (7 papers), Pancreatic function and diabetes (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Lipid metabolism and disorders (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (378 citations), Physiology (195 citations), Nephrology (45 citations), Cardiology and Cardiovascular Medicine (143 citations) and Geriatrics and Gerontology (18 citations). Dan Streja has collaborated with scholars based in United States, Canada and Venezuela. Frequent co-authors include Simon W. Rabkin, George Steiner, Peter O. Kwiterovich, Errol B. Marliss, Elani Streja, M. Vranić, E. B. Marliss, Csaba P. Kövesdy, Hamid Moradi and Kamyar Kalantar‐Zadeh. Their work appears in journals such as JAMA, Metabolism, Diabetes Care, Annals of Internal Medicine and American Journal of Clinical Nutrition.

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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