Malcolm E Kendrick
Impact in
- Surgery top 10%
- Lipoproteins and Cardiovascular Health
- Cholesterol and Lipid Metabolism
Papers in
- Surgery 14
- Lipoproteins and Cardiovascular Health 14
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 1
- Co-authors
- David M. Diamond (10 shared papers)Uffe Ravnskov (10 shared papers)Sherif Sultan (6 shared papers)Luca Mascitelli (5 shared papers)PAUL J. ROSCH (4 shared papers)Tomohito Hamazaki (5 shared papers)Ralf Sundberg (5 shared papers)Harumi Okuyama (5 shared papers)
- Journals
- Expert Review of Clinical Pharmacology (4 papers)Current Opinion in Endocrinology Diabetes and Obesity (1 paper)BMJ Open (1 paper)PharmacoEconomics (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Malcolm E Kendrick
17 papers receiving 470 citations
Malcolm E Kendrick's Hit Papers
Peers
Comparison fields: 5 of 45
- Surgery 188
- Geriatrics and Gerontology 7
- Physiology 42
- Family Practice 2
- Economics and Econometrics 18
Countries citing papers authored by Malcolm E Kendrick
This map shows the geographic impact of Malcolm E 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 E 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 E Kendrick more than expected).
Fields of papers citing papers by Malcolm E Kendrick
This network shows the impact of papers produced by Malcolm E 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 E Kendrick. The network helps show where Malcolm E Kendrick may publish in the future.
Co-authors
The 20 scholars most cited alongside Malcolm E Kendrick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Lack of an association or an inverse association between low-density-lipoprotein cholesterol and mortality in the elderly: a systematic review Hit paper breakdown → | 2016 | 244 |
| 2 | 2018 | 106 | |
| 3 | 2000 | 34 | |
| 4 | 2020 | 27 | |
| 5 | 2007 | 24 | |
| 6 | 2018 | 15 | |
| 7 | 2022 | 13 | |
| 8 | 2020 | 10 | |
| 9 | 2016 | 8 | |
| 10 | Long Term Treatment of Multiple Sclerosis with Interferon-β May Be Cost Effective | 2000 | 6 |
| 11 | 2019 | 6 | |
| 12 | 2022 | 4 | |
| 13 | 2002 | 3 | |
| 14 | 2017 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2007 | 2 | |
| 17 | 2021 | 2 |
About Malcolm E Kendrick
Malcolm E Kendrick is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 17 papers that have together received 510 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (14 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Surgery (188 citations), Geriatrics and Gerontology (7 citations), Physiology (42 citations), Family Practice (2 citations) and Economics and Econometrics (18 citations). Malcolm E Kendrick has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include David M. Diamond, Uffe Ravnskov, Sherif Sultan, Luca Mascitelli, PAUL J. ROSCH, Tomohito Hamazaki, Ralf Sundberg, Harumi Okuyama, Björn Hammarskjöld and Peter H. Langsjoen. Their work appears in journals such as Expert Review of Clinical Pharmacology, Current Opinion in Endocrinology Diabetes and Obesity, BMJ Open, PharmacoEconomics and PLoS ONE.
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.