M. John Chapman

4.9k citations
49 papers · 3.4k indexed · h-index 28
Topics
Lipoproteins and Cardiovascular Health (15 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers)Protease and Inhibitor Mechanisms (10 papers)

In The Last Decade

M. John Chapman

49 papers receiving 3.2k citations

Peers

M. John Chapman
Comparison fields: 5 of 134
  • Surgery 1.4k
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Cancer Research 763
  • Molecular Biology 713
  • Cardiology and Cardiovascular Medicine 571
Replace Ewa Ninio with:
Ewa Ninio France
Giulia Chiesa Italy
Gordon A. Francis Canada
Bernardo L. Trigatti Canada
Kerry-Anne Rye Australia
Maryse Guérin France
John W. Gaubatz United States
John F. Moorhead United Kingdom
Pieter H.E. Groot Netherlands
Mustapha Rouis France
M. John Chapman relative to Ewa Ninio France Ewa Ninio's profile →
Citations per field
00.5×2.7×
Ewa Ninio · 1×
Citations per year

Countries citing papers authored by M. John Chapman

Since Specialization
Citations

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

Fields of papers citing papers by M. John Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. John Chapman

This figure shows the co-authorship network connecting the top 25 collaborators of M. John Chapman. A scholar is included among the top collaborators of M. John Chapman 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. John Chapman. M. John Chapman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 14
2
Poor glycemic control in type 2 diabetes enhances functional and compositional alterations of small, dense HDL3c Molecular and cell biology of lipids
2
3 25
4 29
5 207
6 53
7 7
8 4
9 5
10 17
11 18
12 95
13 79
14 18
15 26
16 130
17 83
18 85
19 28
20 69

About M. John Chapman

M. John Chapman is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Cancer Research, having authored 49 papers that have together received 3.4k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers) and Protease and Inhibitor Mechanisms (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Cancer Research (763 citations) and Clinical Biochemistry (262 citations). M. John Chapman has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Anatol Kontush, Laurent Camont, W. Sean Davidson, Marie Lhomme, Sandrine Chantepie, William R. Lagor, P M Laplaud, Mustapha Rouis, Éric Bruckert and Dominique Hermier. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and American Journal of Clinical Nutrition.

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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