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 3
- Surgery 9
- Cholesterol and Lipid Metabolism 6
- Lipoproteins and Cardiovascular Health 4
- Co-authors
- Fernando López‐Casillas (2 shared papers)Xuyi Luo (1 shared paper)Dong-Hoon Bai (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)Molecular and Cellular Biology (1 paper)The FASEB Journal (1 paper)Atherosclerosis (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
M E Pape
19 papers receiving 728 citations
Peers
Comparison fields: 5 of 68
- Biochemistry 99
- Endocrinology, Diabetes and Metabolism 145
- Clinical Biochemistry 59
- Surgery 311
- Cancer Research 95
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 | 185 | |
| 2 | 1995 | 109 | |
| 3 | 1997 | 67 | |
| 4 | 1986 | 64 | |
| 5 | 1995 | 58 | |
| 6 | 1994 | 55 | |
| 7 | 1991 | 55 | |
| 8 | 1993 | 39 | |
| 9 | 1991 | 38 | |
| 10 | 1989 | 32 | |
| 11 | 1991 | 30 | |
| 12 | 1991 | 23 | |
| 13 | 1994 | 10 | |
| 14 | 1990 | 9 | |
| 15 | 1977 | 4 | |
| 16 | 1994 | 2 | |
| 17 | Long hydrocarbon chain diols and diacids with central ether or ketone moieties that favorably alter lipid disorders. | 2006 | 2 |
| 18 | 1998 | 1 | |
| 19 | 1997 | 1 |
About M E Pape
M E Pape is a scholar working on Molecular Biology, Surgery, Biochemistry, Oncology and Epidemiology, having authored 19 papers that have together received 784 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), Liver Disease Diagnosis and Treatment (3 papers), Cancer, Lipids, and Metabolism (3 papers), Lipid metabolism and biosynthesis (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Biotin and Related Studies (2 papers). The work is most often cited by research in Biochemistry (99 citations), Endocrinology, Diabetes and Metabolism (145 citations), Clinical Biochemistry (59 citations), Surgery (311 citations) and Cancer Research (95 citations). M E Pape has collaborated with scholars based in United States and Russia. Frequent co-authors include Fernando López‐Casillas, Xuyi Luo, Dong-Hoon Bai, 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, 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.