Jun Ye
Impact in
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
- Rheumatology top 10%
- Folate and B Vitamins Research
Papers in
-
- Metabolism and Genetic Disorders 23
-
- Metabolomics and Mass Spectrometry Studies 3
- Sexual Differentiation and Disorders 2
- Co-authors
- Xuefan Gu (44 shared papers)Huiwen Zhang (32 shared papers)Wenjuan Qiu (33 shared papers)Lianshu Han (22 shared papers)Xiaolan Gao (19 shared papers)Zhuwen Gong (9 shared papers)Lili Liang (8 shared papers)Yafen Zhang (14 shared papers)
- Journals
- World Journal of Pediatrics (3 papers)Journal of Clinical Laboratory Analysis (2 papers)Orphanet Journal of Rare Diseases (2 papers)Journal of Inherited Metabolic Disease (1 paper)Acta Pharmacologica Sinica (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Jun Ye
47 papers receiving 598 citations
Peers
Comparison fields: 5 of 53
- Clinical Biochemistry 283
- Rheumatology 104
- Physiology 112
- Genetics 116
- Urology 20
Countries citing papers authored by Jun Ye
This map shows the geographic impact of Jun Ye'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 Jun Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ye more than expected).
Fields of papers citing papers by Jun Ye
This network shows the impact of papers produced by Jun Ye. 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 Jun Ye. The network helps show where Jun Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 55 | |
| 2 | 2017 | 40 | |
| 3 | 2014 | 35 | |
| 4 | 2014 | 33 | |
| 5 | 2012 | 32 | |
| 6 | 2016 | 32 | |
| 7 | 2018 | 28 | |
| 8 | 2015 | 27 | |
| 9 | 2014 | 26 | |
| 10 | 2010 | 26 | |
| 11 | 2012 | 26 | |
| 12 | 2013 | 22 | |
| 13 | 2020 | 21 | |
| 14 | 2014 | 19 | |
| 15 | 2014 | 19 | |
| 16 | [Analysis of gene mutations in Chinese patients with methylmalonic acidemia and homocysteinemia]. | 2009 | 14 |
| 17 | 2015 | 13 | |
| 18 | 2018 | 13 | |
| 19 | 2016 | 13 | |
| 20 | 2014 | 12 |
About Jun Ye
Jun Ye is a scholar working on Clinical Biochemistry, Molecular Biology, Rheumatology, Physiology and Genetics, having authored 50 papers that have together received 608 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (23 papers), Folate and B Vitamins Research (8 papers), Lysosomal Storage Disorders Research (6 papers), Amino Acid Enzymes and Metabolism (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Trypanosoma species research and implications (2 papers), Calcium signaling and nucleotide metabolism (2 papers) and Sexual Differentiation and Disorders (2 papers). The work is most often cited by research in Clinical Biochemistry (283 citations), Rheumatology (104 citations), Physiology (112 citations), Genetics (116 citations) and Urology (20 citations). Jun Ye has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Xuefan Gu, Huiwen Zhang, Wenjuan Qiu, Lianshu Han, Xiaolan Gao, Zhuwen Gong, Lili Liang, Yafen Zhang, Zhuo Huang and Yongguo Yu. Their work appears in journals such as World Journal of Pediatrics, Journal of Clinical Laboratory Analysis, Orphanet Journal of Rare Diseases, Journal of Inherited Metabolic Disease and Acta Pharmacologica Sinica.
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.