M Keller

614 citations
11 papers · 445 · h-index 6

Impact in

Papers in

M Keller

11 papers receiving 434 citations

Peers

M Keller
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 157
  • Cardiology and Cardiovascular Medicine 154
  • Neurology 49
  • Geriatrics and Gerontology 23
  • Modeling and Simulation 18
Replace Małgorzata Saryusz‐Wolska with:
Małgorzata Saryusz‐Wolska Poland
Noriaki Matsumura Japan
Fausta Montesi Italy
Jean K. Ho United States
David Nathanson Sweden
Jean François Yale Canada
S. Sans Spain
Chakrapani Balijepalli Germany
Roger Clarnette Australia
Antonio Martocchia Italy
M Keller relative to Małgorzata Saryusz‐Wolska Poland Małgorzata Saryusz‐Wolska's profile →
Citations per field
00.5×4.5×
Małgorzata Saryusz‐Wolska · 1×
Citations per year

Countries citing papers authored by M Keller

Since Specialization
Citations

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

Fields of papers citing papers by M Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2013179
2 1993136
3 201354
4 202231
5 201520
6 197813
7 20214
8
[Differential diagnosis of Cushing's syndrome].
19614
9 20232
10 19611
11
Newly identified genetic locus influencing fasting plasma glucose levels in people with Type 2 diabetes: the Edinburgh Type 2 Diabetes Study (ET2DS)
20131

About M Keller

M Keller is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Modeling and Simulation, Economics and Econometrics and Infectious Diseases, having authored 11 papers that have together received 445 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Cardiovascular Health and Disease Prevention (2 papers), Urban Green Space and Health (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Diabetes Management and Research (1 paper), Pituitary Gland Disorders and Treatments (1 paper), Genetic Associations and Epidemiology (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (157 citations), Cardiology and Cardiovascular Medicine (154 citations), Neurology (49 citations), Geriatrics and Gerontology (23 citations) and Modeling and Simulation (18 citations). M Keller has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Mark W. J. Strachan, C. Robertson, Ian J. Deary, Stela McLachlan, Jackie F. Price, Joanne R Morling, Insa Feinkohl, Harold A. Spurgeon, David M. Warshaw and N. F. Beier. Their work appears in journals such as Diabetes Care, Diabetologia, Health & Place, The Professional Geographer and BMC Infectious 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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