You‐Jun Fei
Impact in
- Biochemistry top 1%
- Amino Acid Enzymes and Metabolism
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
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- Amino Acid Enzymes and Metabolism 5
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- Epigenetics and DNA Methylation 1
- Co-authors
- Vadivel Ganapathy (6 shared papers)Frederick H. Leibach (6 shared papers)Mitsuru Sugawara (3 shared papers)Malliga E. Ganapathy (3 shared papers)Wei Huang (2 shared papers)Wei Huang (1 shared paper)Pankaj Seth (1 shared paper)Vadivel Ganapathy (2 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Biomembranes (2 papers)European Journal of Biochemistry (1 paper)American Journal of Hematology (1 paper)Acta Haematologica (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- United StatesGermanySouth Africa
In The Last Decade
You‐Jun Fei
10 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 81
- Biochemistry 323
- Clinical Biochemistry 99
- Physiology 66
- Oncology 332
- Cellular and Molecular Neuroscience 190
Countries citing papers authored by You‐Jun Fei
This map shows the geographic impact of You‐Jun Fei'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 You‐Jun Fei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites You‐Jun Fei more than expected).
Fields of papers citing papers by You‐Jun Fei
This network shows the impact of papers produced by You‐Jun Fei. 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 You‐Jun Fei. The network helps show where You‐Jun Fei may publish in the future.
Co-authors
The 23 scholars most cited alongside You‐Jun Fei, 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 | 2000 | 273 | |
| 2 | 1998 | 272 | |
| 3 | 2003 | 137 | |
| 4 | 2000 | 125 | |
| 5 | 2000 | 89 | |
| 6 | 1996 | 55 | |
| 7 | 1998 | 47 | |
| 8 | 1996 | 45 | |
| 9 | 1991 | 23 | |
| 10 | 2009 | 2 |
About You‐Jun Fei
You‐Jun Fei is a scholar working on Biochemistry, Molecular Biology, Oncology, Genetics and Clinical Biochemistry, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (5 papers), Drug Transport and Resistance Mechanisms (4 papers), Metabolism and Genetic Disorders (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Adenosine and Purinergic Signaling (2 papers), Synthesis and Catalytic Reactions (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Biochemistry (323 citations), Clinical Biochemistry (99 citations), Physiology (66 citations), Oncology (332 citations) and Cellular and Molecular Neuroscience (190 citations). You‐Jun Fei has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Vadivel Ganapathy, Frederick H. Leibach, Mitsuru Sugawara, Malliga E. Ganapathy, Wei Huang, Wei Huang, Pankaj Seth, Vadivel Ganapathy, Robert G. Martindale and Takeo Nakanishi. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, European Journal of Biochemistry, American Journal of Hematology, Acta Haematologica and Journal of Neurochemistry.
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.