Danting Zhang

1.1k citations
39 papers · 741 · h-index 15

Impact in

Papers in

    • Systemic Lupus Erythematosus Research 15
    • Eosinophilic Disorders and Syndromes 3
    • Atherosclerosis and Cardiovascular Diseases 6

Danting Zhang

35 papers receiving 735 citations

Peers

Danting Zhang
Comparison fields: 5 of 104
  • Rheumatology 209
  • Immunology 145
  • Epidemiology 216
  • Genetics 59
  • Nephrology 38
Replace H. Kiener with:
H. Kiener Austria
Andreas V. Goules Greece
Thomas Paulraj Thamboo Singapore
Jonathan Chan Canada
Deborah J. Chute United States
Monalisa Sur Canada
Kathryn Hobbs United States
Bedrı Kandemır Türkiye
Roos J. Leguit Netherlands
Danting Zhang relative to H. Kiener Austria H. Kiener's profile →
Citations per field
00.5×10×16.2×
H. Kiener · 1×
Citations per year

Countries citing papers authored by Danting Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Danting Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021116
2 202195
3 201361
4 202245
5 202139
6 202038
7 202335
8 202134
9 202430
10 202227
11 202125
12 202124
13 202118
14 202015
15 202214
16 202314
17 202413
18 202111
19 202111
20 202310

About Danting Zhang

Danting Zhang is a scholar working on Rheumatology, Immunology, Molecular Biology, Epidemiology and Oncology, having authored 39 papers that have together received 741 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (15 papers), Inflammatory Myopathies and Dermatomyositis (8 papers), Atherosclerosis and Cardiovascular Diseases (6 papers), Cytokine Signaling Pathways and Interactions (4 papers), RNA modifications and cancer (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Systemic Sclerosis and Related Diseases (4 papers) and Eosinophilic Disorders and Syndromes (3 papers). The work is most often cited by research in Rheumatology (209 citations), Immunology (145 citations), Epidemiology (216 citations), Genetics (59 citations) and Nephrology (38 citations). Danting Zhang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shuang Ye, Wanlong Wu, Wenwen Xu, Kaiwen Wang, Feng Luo, Weimin Lin, Quan Yuan, Shiwen Zhang, Qiwen Li and Zhiwei Chen. Their work appears in journals such as Lupus Science & Medicine, Advanced Science, Lara D. Veeken, Journal of Bone and Mineral Research and Frontiers in Immunology.

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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