Xujing Wang

3.2k citations
76 papers · 2.4k · h-index 26

Impact in

Papers in

    • Diabetes and associated disorders 17
    • Genetic and phenotypic traits in livestock 3
    • Pancreatic function and diabetes 10

Xujing Wang

73 papers receiving 2.3k citations

Peers

Xujing Wang
Comparison fields: 5 of 143
  • Reproductive Medicine 162
  • Physiology 85
  • Endocrinology, Diabetes and Metabolism 279
  • Genetics 483
  • Physical and Theoretical Chemistry 161
Replace Jianyu Rao with:
Jianyu Rao United States
Markus Wehland Germany
Timothy Dawson United Kingdom
Amit Varma United States
Shin‐Ichiro Takahashi Japan
Ken Yamazaki Japan
Juanjuan Li China
Wolfgang Moritz Switzerland
Albrecht Reith Norway
Xujing Wang relative to Jianyu Rao United States Jianyu Rao's profile →
Citations per field
00.5×9.4×
Jianyu Rao · 1×
Citations per year

Countries citing papers authored by Xujing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xujing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999270
2 1997236
3 2005177
4 2002124
5 200895
6 199690
7 200680
8 200480
9 200973
10 200664
11 201258
12 201454
13 201553
14 200450
15 201750
16 201747
17 200945
18 201837
19 200737
20 201734

About Xujing Wang

Xujing Wang is a scholar working on Genetics, Surgery, Molecular Biology, Plant Science and Immunology, having authored 76 papers that have together received 2.4k indexed citations. Recurring topics across this work include Diabetes and associated disorders (17 papers), Pancreatic function and diabetes (10 papers), Diabetes Management and Research (8 papers), Garlic and Onion Studies (6 papers), Immune Cell Function and Interaction (5 papers), Microfluidic and Bio-sensing Technologies (4 papers), Bioinformatics and Genomic Networks (4 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Reproductive Medicine (162 citations), Physiology (85 citations), Endocrinology, Diabetes and Metabolism (279 citations), Genetics (483 citations) and Physical and Theoretical Chemistry (161 citations). Xujing Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Peter R. C. Gascoyne, Frederick F. Becker, Xiaobo Wang, Martin J. Hessner, Soumitra Ghosh, Shuang Jia, Jun Yang, Xiaobo Wang, Ying Huang and Rhonda Geoffrey. Their work appears in journals such as PLoS ONE, The Journal of Immunology, Physiological Genomics, Blood and Cancer Research.

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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