Malcolm Kendrick

12 papers receiving 370 citations

Peers

Malcolm Kendrick
Comparison fields: 5 of 75
  • Endocrinology, Diabetes and Metabolism 151
  • Geriatrics and Gerontology 17
  • Surgery 192
  • Cardiology and Cardiovascular Medicine 70
  • Physiology 75
Replace Ángel Díaz Rodríguez with:
Ángel Díaz Rodríguez Spain
Cecilie Wium Norway
Vasilisa Sazonov United States
I.J.A.M. Jonkers Netherlands
Eugenia Tedeschi-Reiner Croatia
Evertine J. Abbink Netherlands
J Pedro‐Botet Spain
Euridiki Drogari Greece
Hardik Vasnawala India
Jane K. Stock United Kingdom
Malcolm Kendrick relative to Ángel Díaz Rodríguez Spain Ángel Díaz Rodríguez's profile →
Citations per field
00.5×2.6×
Ángel Díaz Rodríguez · 1×
Citations per year

Countries citing papers authored by Malcolm Kendrick

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Kendrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Malcolm Kendrick, 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 Malcolm Kendrick Line = papers co-authored together Malcolm Kendrick links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2016207
2 201893
3 200034
4 201812
5 202210
6
Ineffectiveness of a mass mailing campaign to improve poison center awareness in a rural population.
19939
7 20209
8 20167
9
Long Term Treatment of Multiple Sclerosis with Interferon-β May Be Cost Effective
20006
10 20023
11 20223
12 20072

About Malcolm Kendrick

Malcolm Kendrick is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Economics and Econometrics, Pathology and Forensic Medicine and Neurology, having authored 12 papers that have together received 395 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Peripheral Neuropathies and Disorders (2 papers), Systemic Lupus Erythematosus Research (2 papers), Multiple Sclerosis Research Studies (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (151 citations), Geriatrics and Gerontology (17 citations), Surgery (192 citations), Cardiology and Cardiovascular Medicine (70 citations) and Physiology (75 citations). Malcolm Kendrick has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Uffe Ravnskov, David M. Diamond, Tomohito Hamazaki, Harumi Okuyama, Ralf Sundberg, Sherif Sultan, Peter H. Langsjoen, Kevin K. McCully, Björn Hammarskjöld and Niamh Hynes. Their work appears in journals such as Expert Review of Clinical Pharmacology, Current Opinion in Endocrinology Diabetes and Obesity, BMJ Open, PharmacoEconomics and International Journal of Molecular Sciences.

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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