Thomas P. Erlinger

51 papers receiving 6.8k citations

Hit Papers

Effects of Protein, Monounsaturated Fat, and Carbohydrate Intake on Blood Pressure and Serum Lipids 2005 · 817 citations
81720042026201120184008001.2k

Peers

Thomas P. Erlinger
Comparison fields: 5 of 159
  • Biological Psychiatry 220
  • Internal Medicine 276
  • Public Health, Environmental and Occupational Health 2.0k
  • Cardiology and Cardiovascular Medicine 1.5k
  • Nutrition and Dietetics 990
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Michael H Criqui United States
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Augusto Di Castelnuovo Italy
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Citations per year

Countries citing papers authored by Thomas P. Erlinger

Since Specialization
Citations

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

Fields of papers citing papers by Thomas P. Erlinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas P. Erlinger. 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 Thomas P. Erlinger. The network helps show where Thomas P. Erlinger may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20203
2 20196
3 20188
4 201034
5 200930
6 2008250
7 200896
8 2008101
9 2008162
10 200657
11 2006421
12
Effects of Protein, Monounsaturated Fat, and Carbohydrate Intake on Blood Pressure and Serum Lipids
Hit paper breakdown →
2005817
13 2005173
14 2004157
15 2004450
16 200329
17 200337
18 200363
19 200212
20 2001418

About Thomas P. Erlinger

Thomas P. Erlinger is a scholar working on Biochemistry, Nutrition and Dietetics, Public Health, Environmental and Occupational Health, Nephrology and Physiology, having authored 52 papers that have together received 7.1k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (14 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers), Diet and metabolism studies (9 papers), Obesity, Physical Activity, Diet (9 papers), Blood Pressure and Hypertension Studies (8 papers), Sodium Intake and Health (7 papers), Inflammatory Biomarkers in Disease Prognosis (7 papers) and Nutrition and Health in Aging (4 papers). The work is most often cited by research in Biological Psychiatry (220 citations), Internal Medicine (276 citations), Public Health, Environmental and Occupational Health (2.0k citations), Cardiology and Cardiovascular Medicine (1.5k citations) and Nutrition and Dietetics (990 citations). Thomas P. Erlinger has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Elizabeth Selvin, Lawrence J. Appel, Daniel E. Ford, Edgar R. Miller, Jeanne Charleston, Laura P. Svetkey, Frank M. Sacks, William M. Vollmer, Frederick L. Brancati and Jamy D. Ard. Their work appears in journals such as Circulation, Diabetes Care, JAMA, Hypertension and American Journal of Kidney Diseases.

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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