Xing Ji

970 citations
46 papers · 675 · h-index 17

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 3
    • RNA Research and Splicing 3
    • Bone Metabolism and Diseases 3
    • Renal and related cancers 2
    • Neurogenetic and Muscular Disorders Research 3

Xing Ji

43 papers receiving 672 citations

Peers

Xing Ji
Comparison fields: 5 of 85
  • Urology 27
  • Molecular Biology 277
  • Genetics 40
  • Rheumatology 51
  • Psychiatry and Mental health 49
Replace Masahide Fujita with:
Masahide Fujita Japan
Rekha Kar United States
Wei Sha United States
Petra Popovics United States
Gaetano Arcuri Italy
Miguel Pérez‐Aso United States
Haris Zahoor United States
Agnieszka Siejka Poland
Lijun Chi Canada
Cindy Wang United States
Xing Ji relative to Masahide Fujita Japan Masahide Fujita's profile →
Citations per field
00.5×1.5×2.1×
Masahide Fujita · 1×
Citations per year

Countries citing papers authored by Xing Ji

Since Specialization
Citations

This map shows the geographic impact of Xing 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 Xing Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Ji more than expected).

Fields of papers citing papers by Xing Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xing 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 Xing Ji. The network helps show where Xing Ji may publish in the future.

Co-authors

The 25 scholars most cited alongside Xing 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 Xing Ji Line = papers co-authored together Xing Ji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201867
2 201662
3 202241
4 201337
5 201837
6 201733
7 201731
8 202129
9 201429
10 202028
11 201628
12 201924
13 201722
14 201719
15 201818
16 202217
17 201716
18 202313
19 201412
20 201910

About Xing Ji

Xing Ji is a scholar working on Molecular Biology, Genetics, Genetics, Rheumatology and Ophthalmology, having authored 46 papers that have together received 675 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), RNA Research and Splicing (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Bone Metabolism and Diseases (3 papers), Retinal Diseases and Treatments (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Urology (27 citations), Molecular Biology (277 citations), Genetics (40 citations), Rheumatology (51 citations) and Psychiatry and Mental health (49 citations). Xing Ji has collaborated with scholars based in China, United States and Botswana. Frequent co-authors include Ximei Wu, Bing Xiao, Wei Shi, Xinhua Hu, Yingwei Chen, Feng Chen, Hong‐Li Guo, Musaddique Hussain, Jing Xu and Junsong Wu. Their work appears in journals such as Prenatal Diagnosis, Gene, Journal of Cancer, Biochimica et Biophysica Acta (BBA) - General Subjects and Current Pharmaceutical Design.

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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