Siqi Chen

5.1k citations
183 papers · 2.7k · h-index 29

Impact in

  • Immunology top 2%
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Atherosclerosis and Cardiovascular Diseases
    • IL-33, ST2, and ILC Pathways
    • Immunotherapy and Immune Responses
  • Physiology top 2%
    • Adenosine and Purinergic Signaling

Papers in

    • Circular RNAs in diseases 8
    • RNA modifications and cancer 8
    • Immune cells in cancer 15
    • Immune Cell Function and Interaction 14
    • Immunotherapy and Immune Responses 10

Siqi Chen

166 papers receiving 2.7k citations

Peers

Siqi Chen
Comparison fields: 5 of 161
  • Immunology 1.0k
  • Physiology 180
  • Cancer Research 335
  • Oncology 596
  • Molecular Biology 970
Replace Pankaj Gupta with:
Pankaj Gupta India
Bassam R. Ali United Arab Emirates
Jian‐Li Jiang China
Yuanfang Ma China
Nina Heldring Sweden
Andrew Yen United States
Jin‐San Zhang China
Dandan Li China
Roman A. Blaheta Germany
Siqi Chen relative to Pankaj Gupta India Pankaj Gupta's profile →
Citations per field
00.5×10×13×
Pankaj Gupta · 1×
Citations per year

Countries citing papers authored by Siqi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Siqi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997212
2 201992
3 201480
4 201680
5 202276
6 202173
7 202171
8 201968
9 201468
10 201557
11 201857
12 202056
13 201849
14 201648
15 201647
16 201645
17 202244
18 202341
19 201740
20 201340

About Siqi Chen

Siqi Chen is a scholar working on Molecular Biology, Immunology, Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 183 papers that have together received 2.7k indexed citations. Recurring topics across this work include Immune cells in cancer (15 papers), Immune Cell Function and Interaction (14 papers), Cancer Immunotherapy and Biomarkers (11 papers), Immunotherapy and Immune Responses (10 papers), MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (8 papers), RNA modifications and cancer (8 papers) and Cancer-related molecular mechanisms research (8 papers). The work is most often cited by research in Immunology (1.0k citations), Physiology (180 citations), Cancer Research (335 citations), Oncology (596 citations) and Molecular Biology (970 citations). Siqi Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bin Zhang, Yi Zhang, Jie Fan, Donye Dominguez, Timothy M. Kuzel, Alan Long, Lei Qin, Mingye Feng, Deyu Fang and Simon E. Roselaar. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Immunology, Frontiers in Immunology, Journal of Clinical Investigation and Nature Communications.

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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