C J Fielding

5.9k citations
36 papers · 5.0k indexed · 3 hit papers · h-index 29

Impact in

Papers in

C J Fielding

36 papers receiving 4.8k citations

Hit Papers

Molecular physiology of reverse cholesterol transport. 1995 · 1.3k citations
1.3k19722026199020084008001.2k

Peers

C J Fielding
Comparison fields: 5 of 119
  • Endocrinology, Diabetes and Metabolism 2.1k
  • Biochemistry 560
  • Cancer Research 1.1k
  • Surgery 2.9k
  • Clinical Biochemistry 196
Replace P E Fielding with:
P E Fielding United States
Virgie G. Shore United States
R W Milne Canada
Noel Fidge Australia
Shlomo Eisenberg Israel
Jane M. Glick United States
E L Bierman United States
Angelo M. Scanu United States
Pieter H.E. Groot Netherlands
Christopher J. Fielding United States
C J Fielding relative to P E Fielding United States P E Fielding's profile →
Citations per field
00.5×1.5×1.9×
P E Fielding · 1×
Citations per year

Countries citing papers authored by C J Fielding

Since Specialization
Citations

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

Fields of papers citing papers by C J Fielding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C J Fielding. 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 C J Fielding. The network helps show where C J Fielding may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20023
2 199672
3 199573
4 199586
5 199592
6 199295
7 199050
8 199045
9 199022
10 198932
11 198919
12 1987116
13 198777
14 198648
15 198280
16 197955
17 197974
18 1978135
19
Discoidal bilayer structure of nascent high density lipoproteins from perfused rat liver.
Hit paper breakdown →
1976472
20 197021

About C J Fielding

C J Fielding is a scholar working on Biochemistry, Cancer Research, Endocrinology, Diabetes and Metabolism, Surgery and Nutrition and Dietetics, having authored 36 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (19 papers), Cancer, Lipids, and Metabolism (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Lipid metabolism and biosynthesis (10 papers), Drug Transport and Resistance Mechanisms (7 papers), Lipoproteins and Cardiovascular Health (7 papers), Fatty Acid Research and Health (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.1k citations), Biochemistry (560 citations), Cancer Research (1.1k citations), Surgery (2.9k citations) and Clinical Biochemistry (196 citations). C J Fielding has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include P E Fielding, Virgie G. Shore, Robert L. Hamilton, Richard J. Havel, Mary C. Williams, Tova Chajek, Israël Vlodavsky, Denis Gospodarowicz, Omar L. Francone and Takashi Miida. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Lipid Research, Journal of Clinical Investigation and Biochemistry.

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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