Xiangning Ding

826 citations
19 papers · 510 · h-index 13

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 3
    • Viral Infections and Vectors 3
    • Neuroinflammation and Neurodegeneration Mechanisms 4

Xiangning Ding

19 papers receiving 508 citations

Peers

Xiangning Ding
Comparison fields: 5 of 84
  • Immunology 111
  • Cancer Research 61
  • Molecular Biology 291
  • Infectious Diseases 76
  • Business and International Management 8
Replace Junwan Fan with:
Junwan Fan China
Mikhail Pomaznoy United States
Lihua Luo China
Peiwen Ding China
Naïma Zemirli France
Margaret A. MacGibeny United States
Yeya Yu China
Tina A. Solvik United States
Ivan Candido-Ferreira United Kingdom
Rubina Koglgruber Austria
Xiangning Ding relative to Junwan Fan China Junwan Fan's profile →
Citations per field
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Junwan Fan · 1×
Citations per year

Countries citing papers authored by Xiangning Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xiangning Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202182
2 202276
3 202273
4 202151
5 202443
6 201841
7 202123
8 202221
9 202218
10 202117
11 202416
12 202115
13 202513
14 20257
15 20215
16 20224
17 20223
18 20251
19 20221

About Xiangning Ding

Xiangning Ding is a scholar working on Infectious Diseases, Neurology, Immunology, Molecular Biology and Epidemiology, having authored 19 papers that have together received 510 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (9 papers), interferon and immune responses (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Viral Infections and Vectors (3 papers), CRISPR and Genetic Engineering (2 papers), Respiratory viral infections research (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Immunology (111 citations), Cancer Research (61 citations), Molecular Biology (291 citations), Infectious Diseases (76 citations) and Business and International Management (8 citations). Xiangning Ding has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Huiqiang Cai, Jakob Haldrup, Rasmus Otkjær Bak, Zongliang Gao, Jacob Giehm Mikkelsen, Soren Riis Paludan, Martin Kristian Thomsen, Dongsheng Chen, Huanming Yang and Jixing Zhong. Their work appears in journals such as Nature Communications, Clinical and Translational Medicine, Journal of genetics and genomics, Nature and Nucleic Acids 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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