Xi Jiang

543 citations
20 papers · 340 · h-index 10

Impact in

    • Computational Drug Discovery Methods
    • Protein Structure and Dynamics
    • Receptor Mechanisms and Signaling
    • Protein Kinase Regulation and GTPase Signaling
    • Single-cell and spatial transcriptomics
    • RNA and protein synthesis mechanisms

Papers in

    • Single-cell and spatial transcriptomics 5
    • Protein Structure and Dynamics 5
    • Gene expression and cancer classification 4
    • RNA and protein synthesis mechanisms 4
    • Receptor Mechanisms and Signaling 2
    • Molecular Biology Techniques and Applications 2
    • Computational Drug Discovery Methods 3

Xi Jiang

20 papers receiving 338 citations

Peers

Xi Jiang
Comparison fields: 5 of 81
  • Computational Theory and Mathematics 81
  • Molecular Biology 240
  • Cellular and Molecular Neuroscience 38
  • Aging 3
  • Immunology and Allergy 7
Replace Francesco Sirci with:
Francesco Sirci Italy
Amanda Cobos‐Correa Switzerland
Marina Bessarabova United States
Gabriel Martínez-Botella United States
Roumyana Yordanova United States
Carmen Navarro Spain
Tobias Kiechle Germany
Elizabeth D. Nguyen United States
Jimmy Caroli Italy
Xi Jiang relative to Francesco Sirci Italy Francesco Sirci's profile →
Citations per field
00.5×1.5×2.4×
Francesco Sirci · 1×
Citations per year

Countries citing papers authored by Xi Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xi Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200859
2 202152
3 200947
4 202343
5 202134
6 202321
7 202213
8 202211
9 202411
10 20079
11 20198
12 20186
13 20235
14 20234
15 20074
16 20194
17 20254
18 20093
19 20241
20 20241

About Xi Jiang

Xi Jiang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Surgery, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 340 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Protein Structure and Dynamics (5 papers), Gene expression and cancer classification (4 papers), RNA and protein synthesis mechanisms (4 papers), Computational Drug Discovery Methods (3 papers), Organ Transplantation Techniques and Outcomes (2 papers), Receptor Mechanisms and Signaling (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Computational Theory and Mathematics (81 citations), Molecular Biology (240 citations), Cellular and Molecular Neuroscience (38 citations), Aging (3 citations) and Immunology and Allergy (7 citations). Xi Jiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hao Tian, Peng Tao, Lan Ma, Sian Xiao, Peng Yang, Hui Long, Ziyan Wu, Yuejun Chen, Eric C. Larson and Francesco Trozzi. Their work appears in journals such as Cell Research, Molecular Biology of the Cell, Journal of Computational Chemistry, Genome biology 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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