Wan Ji

616 citations
13 papers · 426 · h-index 9

Impact in

    • Dermatological and Skeletal Disorders
    • Animal Genetics and Reproduction
    • Skin and Cellular Biology Research

Papers in

    • Molecular Biology Techniques and Applications 8
    • Gene expression and cancer classification 4
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Animal Genetics and Reproduction 2

Wan Ji

13 papers receiving 412 citations

Peers

Wan Ji
Comparison fields: 5 of 82
  • Genetics 156
  • Cell Biology 76
  • Molecular Biology 194
  • Animal Science and Zoology 14
  • Pathology and Forensic Medicine 20
Replace Mayanka Awasthi with:
Mayanka Awasthi United States
Vinod Kumar India
Nam‐Hyung Kim South Korea
Renpeng Guo China
J. Schmitt Germany
Jinghua Gui China
Yingzhi Xu United States
Pierre Bérubé Canada
Claire Amadou United States
Fei Zhu China
Wan Ji relative to Mayanka Awasthi United States Mayanka Awasthi's profile →
Citations per field
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Mayanka Awasthi · 1×
Citations per year

Countries citing papers authored by Wan Ji

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Wan Ji Line = papers co-authored together Wan Ji links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2000104
2 200479
3 200272
4 202449
5 200433
6 201024
7 200523
8 200517
9 20008
10 20048
11 20055
12
SSR Markers and Preliminary Chromosomal Location of a Powdery Mildew Resistance Gene in Common Wheat Germplasm N9134
20072
13 20122

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 426 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), Powdery Mildew Fungal Diseases (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Genetically Modified Organisms Research (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Genetics (156 citations), Cell Biology (76 citations), Molecular Biology (194 citations), Animal Science and Zoology (14 citations) and Pathology and Forensic Medicine (20 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, Markus Stümm, Denis Viljoen, Joon Yong Chung and Lowell A. Goldsmith. Their work appears in journals such as Analytical Biochemistry, Mammalian Genome, Clinical Chemistry, Journal of Molecular Medicine 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.

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