M E Pape

843 citations
18 papers · 779 · h-index 12

Impact in

    • Lipid metabolism and biosynthesis
  • Surgery top 10%
    • Cholesterol and Lipid Metabolism
    • Lipoproteins and Cardiovascular Health

Papers in

    • Cholesterol and Lipid Metabolism 12
    • Lipid metabolism and biosynthesis 3

M E Pape

17 papers receiving 674 citations

Peers

M E Pape
Comparison fields: 5 of 58
  • Biochemistry 158
  • Surgery 382
  • Cancer Research 112
  • Cardiology and Cardiovascular Medicine 98
  • Molecular Biology 172
Replace Michael E. Pape with:
Michael E. Pape United States
Jeltje R. Goudriaan Netherlands
Hilde Hermansen Steineger Norway
Céline Robichon France
NC Wong Canada
Mark A. Duerr United States
Yaeko Hiyama United States
Trevor M. Shew United States
Vivienne Mendoza United States
Bruno Doiron France
M E Pape relative to Michael E. Pape United States Michael E. Pape's profile →
Citations per field
00.5×1.5×2.2×
Michael E. Pape · 1×
Citations per year

Countries citing papers authored by M E Pape

Since Specialization
Citations

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

Fields of papers citing papers by M E Pape

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1989183
2 1995110
3 199766
4 198663
5 199558
6 199157
7 199454
8 199339
9 199138
10 198932
11 199131
12 199121
13 199410
14 19908
15 19774
16 19942
17
Long hydrocarbon chain diols and diacids with central ether or ketone moieties that favorably alter lipid disorders.
20062
18 19971

About M E Pape

M E Pape is a scholar working on Surgery, Biochemistry, Cardiology and Cardiovascular Medicine, Cancer Research and Molecular Biology, having authored 18 papers that have together received 779 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (12 papers), Lipid metabolism and disorders (3 papers), Lipid metabolism and biosynthesis (3 papers), Cancer, Lipids, and Metabolism (2 papers), Microbial Metabolic Engineering and Bioproduction (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Adipose Tissue and Metabolism (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Biochemistry (158 citations), Surgery (382 citations), Cancer Research (112 citations), Cardiology and Cardiovascular Medicine (98 citations) and Molecular Biology (172 citations). M E Pape has collaborated with scholars based in United States and Germany. Frequent co-authors include Fernando López‐Casillas, Dong-Hoon Bai, George W. Melchior, K.R. Marotti, Roger S. Newton, Ronald Bradley Demattos, Bruce J. Auerbach, Brian R. Krause, C L Bisgaier and Arnold D. Essenburg. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Molecular and Cellular Biology, The FASEB Journal and Atherosclerosis.

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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