Braxton D. Mitchell

65.2k citations
375 papers · 18.3k indexed · 4 hit papers · h-index 67

Braxton D. Mitchell

365 papers receiving 17.6k citations

Hit Papers

A Null Mutation in Human APOC3 Confers a Fav...51719912026200220144008001.2k

Peers

Braxton D. Mitchell
Comparison fields: 5 of 175
  • Endocrinology, Diabetes and Metabolism 4.8k
  • Cardiology and Cardiovascular Medicine 4.0k
  • Endocrine and Autonomic Systems 1.1k
  • Aging 239
  • Physiology 3.5k
Replace Alan R. Shuldiner with:
Alan R. Shuldiner United States
Olle Melander Sweden
Albert Hofman Netherlands
Andreas Pfeiffer Germany
Francine Grodstein United States
Yasuyoshi Ouchi Japan
Torben Hansen Denmark
Johannes A. Romijn Netherlands
Philippe Amouyel France
Allan Vaag Denmark
Braxton D. Mitchell relative to Alan R. Shuldiner United States Alan R. Shuldiner's profile →
Citations per field
00.5×1.5×
Alan R. Shuldiner · 1×
Citations per year

Countries citing papers authored by Braxton D. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Braxton D. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Braxton D. Mitchell. 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 Braxton D. Mitchell. The network helps show where Braxton D. Mitchell may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
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12 20197
13 201813
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17 201410
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19
Meta-analysis of genome-wide studies identifies MEF2C SNPs associated with bone mineral density at forearm
20131
20
A Null Mutation in Human APOC3 Confers a Favorable Plasma Lipid Profile and Apparent Cardioprotectionbreakdown →
2008517

About Braxton D. Mitchell

Braxton D. Mitchell is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Aging, having authored 375 papers that have together received 18.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (76 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (43 papers), Metabolism, Diabetes, and Cancer (26 papers), Genetic Mapping and Diversity in Plants and Animals (23 papers), Genetic and phenotypic traits in livestock (22 papers), Pancreatic function and diabetes (21 papers), Bone health and osteoporosis research (20 papers) and Adipokines, Inflammation, and Metabolic Diseases (20 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.8k citations), Cardiology and Cardiovascular Medicine (4.0k citations) and Endocrine and Autonomic Systems (1.1k citations). Braxton D. Mitchell has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Michael P. Stern, Steven M. Haffner, Helen P. Hazuda, Alan R. Shuldiner, Aaron I. Vinik, Roy Freeman, Raelene E. Maser, M. P. Stern, Judith K. Patterson and Toni I. Pollin. Their work appears in journals such as Diabetes, Diabetes Care, Genetic Epidemiology, Stroke and The Journal of Clinical Endocrinology & Metabolism.

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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