Xiang Ding

619 citations
21 papers · 479 · h-index 12

Impact in

  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Chronic Kidney Disease and Diabetes 4
    • Renal Diseases and Glomerulopathies 4
    • Organ Transplantation Techniques and Outcomes 2

Xiang Ding

19 papers receiving 471 citations

Peers

Xiang Ding
Comparison fields: 5 of 71
  • Nephrology 74
  • Transplantation 22
  • Immunology 98
  • Hepatology 23
  • Genetics 31
Replace Can Lü with:
Can Lü China
Rui Xi Li China
Youxin Song China
Bonnie Oliver United States
Madalina-Viviana Nastase Germany
Jianwen Yu China
Hai-chang Huang China
Zhenzhen Wu China
Kyu Hyun Han South Korea
Xiang Ding relative to Can Lü China Can Lü's profile →
Citations per field
00.5×9.5×
Can Lü · 1×
Citations per year

Countries citing papers authored by Xiang Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200874
2 201470
3 200463
4 202162
5 202140
6 201839
7 200521
8 201320
9 201220
10 202317
11 201914
12 201912
13 20197
14 20237
15 20225
16 20253
17 20242
18 20232
19 20251
20 20250

About Xiang Ding

Xiang Ding is a scholar working on Nephrology, Surgery, Pharmacology, Molecular Biology and Immunology, having authored 21 papers that have together received 479 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (4 papers), Renal Diseases and Glomerulopathies (4 papers), Single-cell and spatial transcriptomics (3 papers), Fungal Biology and Applications (3 papers), Organ Transplantation Techniques and Outcomes (2 papers), Polysaccharides and Plant Cell Walls (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Nephrology (74 citations), Transplantation (22 citations), Immunology (98 citations), Hepatology (23 citations) and Genetics (31 citations). Xiang Ding has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Gengwen Huang, Yiming Tao, Yiling Hou, Chao Zeng, Ye Yang, Zhen Deng, Tuo Yang, Guanghua Lei, Joshua D. Ooi and Xiangcheng Xiao. Their work appears in journals such as PLoS ONE, Frontiers in Immunology, World Journal of Gastroenterology, International Immunopharmacology and Food Bioscience.

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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