Wan Ji
Impact in
- Genetics top 10%
- Dermatological and Skeletal Disorders
- Animal Genetics and Reproduction
-
- Skin and Cellular Biology Research
Papers in
-
- Caveolin-1 and cellular processes 2
- Skin and Cellular Biology Research 2
- Genetics 4
- Animal Genetics and Reproduction 2
- Dermatological and Skeletal Disorders 2
- Co-authors
- Li Cai (3 shared papers)Klaus Lindpaintner (3 shared papers)Matthew B. Wright (2 shared papers)Wenli Zhou (5 shared papers)Scott P. Davis (3 shared papers)Ming Hua Ji (1 shared paper)Denis Viljoen (1 shared paper)Marcel Huber (1 shared paper)
- Journals
- Analytical Biochemistry (2 papers)Journal of Molecular Medicine (2 papers)Mammalian Genome (1 paper)BioTechniques (1 paper)Forensic Science International (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Wan Ji
14 papers receiving 483 citations
Peers
Comparison fields: 5 of 83
- Genetics 208
- Cell Biology 116
- Molecular Biology 215
- Pathology and Forensic Medicine 31
- Animal Science and Zoology 14
Countries citing papers authored by Wan Ji
This map shows the geographic impact of Wan Ji'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 Wan Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan Ji more than expected).
Fields of papers citing papers by Wan Ji
This network shows the impact of papers produced by Wan Ji. 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 Wan Ji. The network helps show where Wan Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Wan Ji, 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 | 106 | |
| 2 | 2004 | 79 | |
| 3 | 2002 | 71 | |
| 4 | 2024 | 64 | |
| 5 | 2000 | 57 | |
| 6 | 2004 | 33 | |
| 7 | 2010 | 23 | |
| 8 | 2005 | 22 | |
| 9 | 2005 | 17 | |
| 10 | 2000 | 8 | |
| 11 | 2004 | 8 | |
| 12 | 2005 | 6 | |
| 13 | SSR Markers and Preliminary Chromosomal Location of a Powdery Mildew Resistance Gene in Common Wheat Germplasm N9134 | 2007 | 2 |
| 14 | 2012 | 1 |
About Wan Ji
Wan Ji is a scholar working on Cell Biology, Genetics, Molecular Biology, Plant Science and Insect Science, having authored 14 papers that have together received 497 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (8 papers), Gene expression and cancer classification (4 papers), Animal Genetics and Reproduction (2 papers), Caveolin-1 and cellular processes (2 papers), Dermatological and Skeletal Disorders (2 papers), Skin and Cellular Biology Research (2 papers), CRISPR and Genetic Engineering (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Genetics (208 citations), Cell Biology (116 citations), Molecular Biology (215 citations), Pathology and Forensic Medicine (31 citations) and Animal Science and Zoology (14 citations). Wan Ji has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Li Cai, Klaus Lindpaintner, Matthew B. Wright, Wenli Zhou, Scott P. Davis, Ming Hua Ji, Denis Viljoen, Marcel Huber, W.K. Fuchs and Raj Ramesar. Their work appears in journals such as Analytical Biochemistry, Journal of Molecular Medicine, Mammalian Genome, BioTechniques and Forensic Science International.
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.