M E Pape
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in ⓘ
-
- Peroxisome Proliferator-Activated Receptors 6
- Microbial Metabolic Engineering and Bioproduction 2
- Surgery 9
- Cholesterol and Lipid Metabolism 6
- Lipoproteins and Cardiovascular Health 4
- Co-authors
- Fernando López‐Casillas (2 shared papers)Dong-Hoon Bai (1 shared paper)Xuyi Luo (1 shared paper)K.R. Marotti (5 shared papers)Roger S. Newton (4 shared papers)Bruce J. Auerbach (3 shared papers)C L Bisgaier (7 shared papers)Brian R. Krause (4 shared papers)
- Journals
- Journal of Lipid Research (8 papers)Journal of Biological Chemistry (2 papers)Atherosclerosis (1 paper)The FASEB Journal (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
M E Pape
18 papers receiving 709 citations
Peers
Comparison fields: 5 of 66
- Biochemistry 96
- Endocrinology, Diabetes and Metabolism 156
- Clinical Biochemistry 57
- Surgery 323
- Cancer Research 102
Countries citing papers authored by M E Pape
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 175 | |
| 2 | 1995 | 108 | |
| 3 | 1997 | 66 | |
| 4 | 1986 | 60 | |
| 5 | 1995 | 56 | |
| 6 | 1994 | 54 | |
| 7 | 1991 | 54 | |
| 8 | 1991 | 38 | |
| 9 | 1993 | 38 | |
| 10 | 1989 | 31 | |
| 11 | 1991 | 30 | |
| 12 | 1991 | 23 | |
| 13 | 1994 | 10 | |
| 14 | 1990 | 9 | |
| 15 | 1994 | 2 | |
| 16 | Long hydrocarbon chain diols and diacids with central ether or ketone moieties that favorably alter lipid disorders. | 2006 | 2 |
| 17 | 1998 | 1 | |
| 18 | 1997 | 1 |
About M E Pape
M E Pape is a scholar working on Molecular Biology, Surgery, Biochemistry, Oncology and Epidemiology, having authored 18 papers that have together received 758 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Lipoproteins and Cardiovascular Health (4 papers), Cancer, Lipids, and Metabolism (3 papers), Lipid metabolism and biosynthesis (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Computational Drug Discovery Methods (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Biochemistry (96 citations), Endocrinology, Diabetes and Metabolism (156 citations), Clinical Biochemistry (57 citations), Surgery (323 citations) and Cancer Research (102 citations). M E Pape has collaborated with scholars based in United States and Russia. Frequent co-authors include Fernando López‐Casillas, Dong-Hoon Bai, Xuyi Luo, K.R. Marotti, Roger S. Newton, Bruce J. Auerbach, C L Bisgaier, Brian R. Krause, George W. Melchior and Ronald B. DeMattos. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Atherosclerosis, The FASEB Journal and Molecular and Cellular Biology.
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.