Lemma Kifle
Impact in
- Geriatrics and Gerontology top 5%
- Molecular Biology top 10%
- Metabolism, Diabetes, and Cancer
- PI3K/AKT/mTOR signaling in cancer
Papers in
-
- Metabolism, Diabetes, and Cancer 3
- Protein Kinase Regulation and GTPase Signaling 2
- Surgery 3
- Pancreatic function and diabetes 3
- Co-authors
- Barbara L. Cool (4 shared papers)Ernst U. Frevert (3 shared papers)William J. Chiou (3 shared papers)Gang Zhao (2 shared papers)Philip R. Kym (2 shared papers)Andrew Adler (1 shared paper)Heidi S. Camp (1 shared paper)Paul Jung (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)Biochemical and Biophysical Research Communications (1 paper)Tumor Biology (1 paper)Journal of Medicinal Chemistry (1 paper)Nature Chemical Biology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Lemma Kifle
9 papers receiving 1.1k citations
Lemma Kifle's Hit Papers
Peers
Comparison fields: 5 of 84
- Geriatrics and Gerontology 41
- Molecular Biology 828
- Computational Theory and Mathematics 193
- Physiology 52
- Endocrinology, Diabetes and Metabolism 173
Countries citing papers authored by Lemma Kifle
This map shows the geographic impact of Lemma Kifle'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 Lemma Kifle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lemma Kifle more than expected).
Fields of papers citing papers by Lemma Kifle
This network shows the impact of papers produced by Lemma Kifle. 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 Lemma Kifle. The network helps show where Lemma Kifle may publish in the future.
Co-authors
The 25 scholars most cited alongside Lemma Kifle, 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 | Identification and characterization of a small molecule AMPK activator that treats key components of type 2 diabetes and the metabolic syndrome Hit paper breakdown → | 2006 | 736 |
| 2 | 2011 | 238 | |
| 3 | 2001 | 46 | |
| 4 | 2007 | 31 | |
| 5 | 2004 | 27 | |
| 6 | 2010 | 12 | |
| 7 | 1983 | 10 | |
| 8 | 1990 | 5 | |
| 9 | 1999 | 3 |
About Lemma Kifle
Lemma Kifle is a scholar working on Molecular Biology, Surgery, Computational Theory and Mathematics, Immunology and Allergy and Geriatrics and Gerontology, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), Pancreatic function and diabetes (3 papers), Cell Adhesion Molecules Research (2 papers), Computational Drug Discovery Methods (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Sirtuins and Resveratrol in Medicine (1 paper) and HER2/EGFR in Cancer Research (1 paper). The work is most often cited by research in Geriatrics and Gerontology (41 citations), Molecular Biology (828 citations), Computational Theory and Mathematics (193 citations), Physiology (52 citations) and Endocrinology, Diabetes and Metabolism (173 citations). Lemma Kifle has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Barbara L. Cool, Ernst U. Frevert, William J. Chiou, Gang Zhao, Philip R. Kym, Andrew Adler, Heidi S. Camp, Paul Jung, Robert Dickinson and Bradley A. Zinker. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Biochemical and Biophysical Research Communications, Tumor Biology, Journal of Medicinal Chemistry and Nature Chemical 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.