Peter Engfeldt

85 papers receiving 2.8k citations

Peers

Peter Engfeldt
Comparison fields: 5 of 128
  • Physiology 1.3k
  • Geriatrics and Gerontology 108
  • Endocrinology, Diabetes and Metabolism 423
  • Cell Biology 436
  • Biochemistry 138
Replace Jorge Calles-Escandón with:
Jorge Calles-Escandón United States
Kim M. Huffman United States
Rudy J. Valentine United States
Ottavio Bosello Italy
KGMM Alberti United Kingdom
A Corsi Italy
Elena Zoico Italy
Dianne Gallup United States
Nicole Martin United Kingdom
A. Avignon France
Peter Engfeldt relative to Jorge Calles-Escandón United States Jorge Calles-Escandón's profile →
Citations per field
00.5×5.4×
Jorge Calles-Escandón · 1×
Citations per year

Countries citing papers authored by Peter Engfeldt

Since Specialization
Citations

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

Fields of papers citing papers by Peter Engfeldt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990301
2 1979232
3
Lipolysis in human adipocytes, effects of cell size, age and of regional differences.
1988107
4 1981101
5 200497
6 201196
7 200694
8 198871
9 201567
10 198365
11 200364
12 199057
13 198755
14 200053
15 198752
16 200852
17 200550
18 198449
19 200549
20 198749

About Peter Engfeldt

Peter Engfeldt is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Cell Biology and Animal Science and Zoology, having authored 85 papers that have together received 2.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (31 papers), Muscle metabolism and nutrition (8 papers), Pharmacological Effects and Assays (7 papers), Diet and metabolism studies (7 papers), Digestive system and related health (6 papers), Diabetes Management and Research (5 papers), Lipid metabolism and biosynthesis (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Physiology (1.3k citations), Geriatrics and Gerontology (108 citations), Endocrinology, Diabetes and Metabolism (423 citations), Cell Biology (436 citations) and Biochemistry (138 citations). Peter Engfeldt has collaborated with scholars based in Sweden, Japan and Mexico. Frequent co-authors include Peter Arner, Jan Östman, Jan Bolinder, Hans Wahrenberg, Lars Kager, Holger Theobald, Johan Hellmér, Jan Eggert, Tomas Fritz and Lars Olov Bygren. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Lipid Research, Scandinavian Journal of Clinical and Laboratory Investigation, Metabolism and Journal of Cardiovascular Pharmacology.

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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