M Keller

614 total citations
11 papers, 445 citations indexed

About

M Keller is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Modeling and Simulation. According to data from OpenAlex, M Keller has authored 11 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Modeling and Simulation. Recurrent topics in M Keller's work include COVID-19 epidemiological studies (3 papers), Cardiovascular Health and Disease Prevention (2 papers) and Diabetes Management and Research (1 paper). M Keller is often cited by papers focused on COVID-19 epidemiological studies (3 papers), Cardiovascular Health and Disease Prevention (2 papers) and Diabetes Management and Research (1 paper). M Keller collaborates with scholars based in United Kingdom, United States and India. M Keller's co-authors include Stela McLachlan, Jackie F. Price, Ian J. Deary, Mark W. J. Strachan, C. Robertson, Joanne R Morling, Insa Feinkohl, David M. Warshaw, R. John Solaro and Giovanni Gambassi and has published in prestigious journals such as Circulation Research, Diabetes Care and Diabetologia.

In The Last Decade

M Keller

11 papers receiving 434 citations

Peers

M Keller

EDM

CCM

MB

PHYSI

NEURO

Antonio Martocchia Italy

Fausta Montesi Italy

S. Sans Spain

Jean K. Ho United States

Małgorzata Saryusz‐Wolska Poland

Jeff Mahon Canada

Jean François Yale Canada

David Nathanson Sweden

Poul Erik Jakobsen Denmark

C. Clark United Kingdom

Antonio Martocchia Italy

M Keller

73 ×0.5

EDM

40 ×0.3

CCM

48 ×0.5

MB

64 ×0.9

PHYSI

22 ×0.4

NEURO

Citations per year, relative to M Keller M Keller (= 1×) peers Antonio Martocchia

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-authorship network of co-authors of M Keller

This figure shows the co-authorship network connecting the top 25 collaborators of M Keller. A scholar is included among the top collaborators of M Keller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M Keller. M Keller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Wang, Ruoyu, Tom Clemens, M. Joanne Douglas, M Keller, & Dan van der Horst. (2023). Spatiotemporal Modeling of the Association between Neighborhood Factors and COVID-19 Incidence Rates in Scotland. The Professional Geographer. 75(5). 803–815. 2 indexed citations

2.

Zhang, Xiaomeng, et al.. (2022). Compact cities and the Covid-19 pandemic: Systematic review of the associations between transmission of Covid-19 or other respiratory viruses and population density or other features of neighbourhood design. Health & Place. 76. 102827–102827. 31 indexed citations

3.

Isaac, Rita, Madelon Lubin Finkel, Mahesh Moorthy, et al.. (2021). The burden of COVID-19 infection in a rural Tamil Nadu community. BMC Infectious Diseases. 21(1). 1110–1110. 4 indexed citations

4.

Feinkohl, Insa, M Keller, C. Robertson, et al.. (2015). Cardiovascular risk factors and cognitive decline in older people with type 2 diabetes. Diabetologia. 58(7). 1637–1645. 20 indexed citations

5.

Feinkohl, Insa, Phyu P. Aung, M Keller, et al.. (2013). Severe Hypoglycemia and Cognitive Decline in Older People With Type 2 Diabetes: The Edinburgh Type 2 Diabetes Study. Diabetes Care. 37(2). 507–515. 179 indexed citations

6.

McLachlan, Stela, Joanne R Morling, Insa Feinkohl, et al.. (2013). Newly identified genetic locus influencing fasting plasma glucose levels in people with Type 2 diabetes: the Edinburgh Type 2 Diabetes Study (ET2DS). 30. 51–52. 1 indexed citations

7.

Feinkohl, Insa, M Keller, C. Robertson, et al.. (2013). Clinical and Subclinical Macrovascular Disease as Predictors of Cognitive Decline in Older Patients With Type 2 Diabetes. Diabetes Care. 36(9). 2779–2786. 54 indexed citations

8.

Solaro, R. John, Giovanni Gambassi, David M. Warshaw, et al.. (1993). Stereoselective actions of thiadiazinones on canine cardiac myocytes and myofilaments.. Circulation Research. 73(6). 981–990. 136 indexed citations

9.

Besedovsky, H. O., E. Sorkin, & M Keller. (1978). CHANGES IN THE CONCENTRATION OF CORTICOSTERONE IN THE BLOOD DURING SKIN-GRAFT REJECTION IN THE RAT. Journal of Endocrinology. 76(1). 175–176. 13 indexed citations

10.

Keller, M, et al.. (1961). ACTH-Behandlung bei schwerem Schwangerschaftserbrechen. Gynecologic and Obstetric Investigation. 152(4). 258–264. 1 indexed citations

11.

Keller, M, et al.. (1961). [Differential diagnosis of Cushing's syndrome].. PubMed. 52. 2124–8. 4 indexed citations

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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