P E Fielding

5.1k citations
38 papers · 4.4k indexed · 2 hit papers · h-index 28

P E Fielding

38 papers receiving 4.1k citations

Hit Papers

Molecular physiology of reverse cholesterol trans...1.3k19722026199020084008001.2k

Peers

P E Fielding
Comparison fields: 5 of 109
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Biochemistry 498
  • Cancer Research 977
  • Surgery 2.5k
  • Cardiology and Cardiovascular Medicine 573
Replace C J Fielding with:
C J Fielding United States
Virgie G. Shore United States
Noel Fidge Australia
R W Milne Canada
E L Bierman United States
Jane M. Glick United States
Shlomo Eisenberg Israel
Robert M. Glickman United States
Richard J. Pease United Kingdom
Thomas L. Innerarity United States
P E Fielding relative to C J Fielding United States C J Fielding's profile →
Citations per field
00.5×1.5×
C J Fielding · 1×
Citations per year

Countries citing papers authored by P E Fielding

Since Specialization
Citations

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

Fields of papers citing papers by P E Fielding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200243
2 199295
3 199050
4 199022
5 198932
6 198919
7 198917
8 198648
9 198439
10 1983136
11 198280
12 197955
13 197974
14 1978135
15 197826
16 197653
17 1972129
18 1971155
19 197026
20 19656

About P E Fielding

P E Fielding is a scholar working on Biochemistry, Cancer Research, Endocrinology, Diabetes and Metabolism, Surgery and Cell Biology, having authored 38 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (21 papers), Cancer, Lipids, and Metabolism (8 papers), Lipid metabolism and biosynthesis (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Lipoproteins and Cardiovascular Health (6 papers), Caveolin-1 and cellular processes (5 papers) and Diet, Metabolism, and Disease (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Biochemistry (498 citations), Cancer Research (977 citations), Surgery (2.5k citations) and Cardiology and Cardiovascular Medicine (573 citations). P E Fielding has collaborated with scholars based in United States and Japan. Frequent co-authors include C J Fielding, Christopher J. Fielding, Virgie G. Shore, Israël Vlodavsky, Denis Gospodarowicz, Gerald M. Reaven, Takashi Miida, Sandra K. Erickson, Geoffrey Liu and Richard J. Havel. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Biochemistry, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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