Max Miller

879 citations
5 papers · 612 · 1 hit paper · h-index 5

Impact in

Papers in

    • Diet and metabolism studies 2
    • Biochemical effects in animals 1
    • Adipose Tissue and Metabolism 1

Max Miller

5 papers receiving 561 citations

Max Miller's Hit Papers

DIABETES INCIDENCE AND PREVALENCE IN PIMA INDIANS: A 19-FOLD GREATER INCIDENCE THAN IN ROCHESTER, MINNESOTA 1978 · 488 citations
4880+16+32Years since publication100200300400

Peers

Max Miller
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 206
  • Genetics 149
  • Obstetrics and Gynecology 39
  • Physiology 126
  • Nephrology 25
Replace Hugh L. C. Wilkerson with:
Hugh L. C. Wilkerson United States
Charles B. Kahn United States
L. J. P. Duncan United Kingdom
Abdul Basit Pakistan
Stephen Tomlinson United Kingdom
Ippolita Patrizia Patera Italy
Soon H Song United Kingdom
Jeremy Hammond Australia
Marie Virally France
Anna Paola Frongia Italy
Max Miller relative to Hugh L. C. Wilkerson United States Hugh L. C. Wilkerson's profile →
Citations per field
00.5×
Hugh L. C. Wilkerson · 1×
Citations per year

Countries citing papers authored by Max Miller

Since Specialization
Citations

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

Fields of papers citing papers by Max Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Max Miller, 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 Max Miller Line = papers co-authored together Max Miller links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
DIABETES INCIDENCE AND PREVALENCE IN PIMA INDIANS: A 19-FOLD GREATER INCIDENCE THAN IN ROCHESTER, MINNESOTA
Hit paper breakdown →
1978488
2 195471
3 197937
4 196810
5 19596

About Max Miller

Max Miller is a scholar working on Physiology, Pharmacology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Clinical Biochemistry, having authored 5 papers that have together received 612 indexed citations. Recurring topics across this work include Diet and metabolism studies (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Obesity and Health Practices (1 paper), Metabolism and Genetic Disorders (1 paper), Biochemical effects in animals (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Adipose Tissue and Metabolism (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (206 citations), Genetics (149 citations), Obstetrics and Gynecology (39 citations), Physiology (126 citations) and Nephrology (25 citations). Max Miller has collaborated with scholars based in United States. Frequent co-authors include Richard F. Hamman, Peter H. Bennett, William C. Knowler, Walton W. Shreeve, Nome Baker, Reginald A. Shipley, James W. Craig, Hiram Woodward and Marc H. Lavietes. Their work appears in journals such as Annals of the New York Academy of Sciences, American Journal of Epidemiology and Journal of Biological Chemistry.

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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