I‐Fen Cheng
Impact in
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
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- Regulation of Appetite and Obesity
Papers in
-
- Pluripotent Stem Cells Research 4
- Angiogenesis and VEGF in Cancer 3
- ATP Synthase and ATPases Research 2
- Renal and related cancers 2
- Mitochondrial Function and Pathology 2
- Surgery 3
- Pancreatic function and diabetes 2
- Co-authors
- Kaomei Guan (5 shared papers)Gerd Hasenfuß (6 shared papers)Martina Balleininger (2 shared papers)Jan Dudek (2 shared papers)Peter Rehling (2 shared papers)Ronald J. A. Wanders (2 shared papers)Katrin Schäfer (4 shared papers)Katrin Streckfuß‐Bömeke (2 shared papers)
- Journals
- Stem Cell Research (3 papers)Cellular Reprogramming (1 paper)Journal of Vascular Research (1 paper)Cardiovascular Research (1 paper)EMBO Molecular Medicine (1 paper)
- Partner nations
- GermanyTaiwanNetherlands
In The Last Decade
I‐Fen Cheng
9 papers receiving 358 citations
Peers
Comparison fields: 5 of 55
- Clinical Biochemistry 61
- Endocrine and Autonomic Systems 36
- Molecular Biology 262
- Cardiology and Cardiovascular Medicine 75
- Aging 5
Countries citing papers authored by I‐Fen Cheng
This map shows the geographic impact of I‐Fen Cheng'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 I‐Fen Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Fen Cheng more than expected).
Fields of papers citing papers by I‐Fen Cheng
This network shows the impact of papers produced by I‐Fen Cheng. 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 I‐Fen Cheng. The network helps show where I‐Fen Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside I‐Fen Cheng, 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 | 2013 | 130 | |
| 2 | 2015 | 65 | |
| 3 | 2009 | 61 | |
| 4 | 2010 | 48 | |
| 5 | 2011 | 44 | |
| 6 | 2013 | 7 | |
| 7 | 2011 | 4 | |
| 8 | 2020 | 2 | |
| 9 | 2012 | 2 | |
| 10 | 2020 | 1 |
About I‐Fen Cheng
I‐Fen Cheng is a scholar working on Molecular Biology, Surgery, Oncology, Endocrine and Autonomic Systems and Ophthalmology, having authored 10 papers that have together received 364 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Pancreatic function and diabetes (2 papers), ATP Synthase and ATPases Research (2 papers), Renal and related cancers (2 papers), Mitochondrial Function and Pathology (2 papers), MicroRNA in disease regulation (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Clinical Biochemistry (61 citations), Endocrine and Autonomic Systems (36 citations), Molecular Biology (262 citations), Cardiology and Cardiovascular Medicine (75 citations) and Aging (5 citations). I‐Fen Cheng has collaborated with scholars based in Germany, Taiwan and Netherlands. Frequent co-authors include Kaomei Guan, Gerd Hasenfuß, Martina Balleininger, Jan Dudek, Peter Rehling, Ronald J. A. Wanders, Katrin Schäfer, Katrin Streckfuß‐Bömeke, Frédéric M. Vaz and Milena Vukotic. Their work appears in journals such as Stem Cell Research, Cellular Reprogramming, Journal of Vascular Research, Cardiovascular Research and EMBO Molecular Medicine.
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.