Wan Ji
Impact in
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- Dermatological and Skeletal Disorders
- Animal Genetics and Reproduction
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- Skin and Cellular Biology Research
Papers in
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- Molecular Biology Techniques and Applications 9
- Gene expression and cancer classification 4
- CRISPR and Genetic Engineering 2
- Genetics 4
- Animal Genetics and Reproduction 3
- Co-authors
- Klaus Lindpaintner (3 shared papers)Li Cai (3 shared papers)Matthew B. Wright (2 shared papers)Wenli Zhou (5 shared papers)Scott Davis (3 shared papers)Ming Ji (1 shared paper)Kenneth H. Neldner (1 shared paper)Raj Ramesar (1 shared paper)
- Journals
- Analytical Biochemistry (2 papers)Mammalian Genome (1 paper)Clinical Chemistry (1 paper)BMC Genomics (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Wan Ji
13 papers receiving 388 citations
Peers
Comparison fields: 5 of 83
- Genetics 162
- Cell Biology 93
- Molecular Biology 212
- Pathology and Forensic Medicine 26
- 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 | 100 | |
| 2 | 2004 | 76 | |
| 3 | 2002 | 70 | |
| 4 | 2024 | 35 | |
| 5 | 2004 | 33 | |
| 6 | 2010 | 22 | |
| 7 | 2005 | 22 | |
| 8 | 2005 | 17 | |
| 9 | 2000 | 8 | |
| 10 | 2004 | 8 | |
| 11 | 2005 | 5 | |
| 12 | SSR Markers and Preliminary Chromosomal Location of a Powdery Mildew Resistance Gene in Common Wheat Germplasm N9134 | 2007 | 2 |
| 13 | 2012 | 2 |
About Wan Ji
Wan Ji is a scholar working on Molecular Biology, Genetics, Plant Science, Cell Biology and Surgery, having authored 13 papers that have together received 400 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (9 papers), Gene expression and cancer classification (4 papers), Animal Genetics and Reproduction (3 papers), CRISPR and Genetic Engineering (2 papers), Wheat and Barley Genetics and Pathology (1 paper), Insect and Pesticide Research (1 paper), Powdery Mildew Fungal Diseases (1 paper) and Plant Disease Resistance and Genetics (1 paper). The work is most often cited by research in Genetics (162 citations), Cell Biology (93 citations), Molecular Biology (212 citations), Pathology and Forensic Medicine (26 citations) and Animal Science and Zoology (14 citations). Wan Ji has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Klaus Lindpaintner, Li Cai, Matthew B. Wright, Wenli Zhou, Scott Davis, Ming Ji, Kenneth H. Neldner, Raj Ramesar, Markus Stümm and Denis Viljoen. Their work appears in journals such as Analytical Biochemistry, Mammalian Genome, Clinical Chemistry, BMC Genomics and Science Advances.
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.