Siqi Ming

990 citations
35 papers · 645 · h-index 14

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Inflammation biomarkers and pathways
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Immune Cell Function and Interaction 13
    • Inflammation biomarkers and pathways 7
    • Immune Response and Inflammation 7
    • Immune cells in cancer 6
    • T-cell and B-cell Immunology 3
    • COVID-19 Clinical Research Studies 4

Siqi Ming

34 papers receiving 638 citations

Peers

Siqi Ming
Comparison fields: 5 of 83
  • Immunology 266
  • Infectious Diseases 179
  • Biological Psychiatry 18
  • Neurology 47
  • Periodontics 24
Replace Lucy Bird with:
Lucy Bird United States
Michael Hiltensperger Germany
Daun Jung South Korea
Liliana Íñiguez-Gutiérrez Mexico
Kerry L. Hilligan New Zealand
Ashley M. Hine United States
Chao He China
Emeka B. Okeke Canada
Holly J. Hulsebus United States
Linlin Hou China
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Citations per field
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Citations per year

Countries citing papers authored by Siqi Ming

Since Specialization
Citations

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

Fields of papers citing papers by Siqi Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021139
2 201777
3 201637
4 202333
5 202131
6 202130
7 202027
8 201421
9 201920
10 202119
11 201819
12 202018
13 201915
14 202113
15 202412
16 202012
17 202011
18 201811
19 202211
20 202110

About Siqi Ming

Siqi Ming is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Surgery and Neurology, having authored 35 papers that have together received 645 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), Inflammation biomarkers and pathways (7 papers), Immune Response and Inflammation (7 papers), Immune cells in cancer (6 papers), COVID-19 Clinical Research Studies (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Anaerobic Digestion and Biogas Production (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Immunology (266 citations), Infectious Diseases (179 citations), Biological Psychiatry (18 citations), Neurology (47 citations) and Periodontics (24 citations). Siqi Ming has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yongjian Wu, Xi Huang, Minhao Wu, Hong Shan, Sitang Gong, Guanmin Jiang, Cheng Guo, Jiahai Lu, Lantian Tang and Xiaomin Cheng. Their work appears in journals such as International Immunopharmacology, The Journal of Immunology, Journal of Clinical Investigation, Frontiers in Immunology and Chemical Engineering Journal.

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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