Jin Gu

5.2k citations
112 papers · 2.7k indexed · 1 hit paper · h-index 28

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • Bioinformatics and Genomic Networks
    • Single-cell and spatial transcriptomics
    • Gene expression and cancer classification
    • Circular RNAs in diseases

Papers in

    • Cancer-related molecular mechanisms research 17
    • MicroRNA in disease regulation 15
    • Cancer Genomics and Diagnostics 13
    • Single-cell and spatial transcriptomics 23
    • Gene expression and cancer classification 11
    • Bioinformatics and Genomic Networks 11
    • RNA modifications and cancer 9
    • Gene Regulatory Network Analysis 8

Jin Gu

100 papers receiving 2.7k citations

Hit Papers

Screening of specific quantitative peptides of beef by LC–MS/MS coupled with OPLS-DA 2022 · 150 citations
150202220262023202450100150

Peers

Jin Gu
Comparison fields: 5 of 159
  • Cancer Research 900
  • Molecular Biology 1.8k
  • Biophysics 90
  • Immunology 228
  • Oncology 293
Replace Markus List with:
Markus List Germany
Wei‐Chung Cheng Taiwan
Pierre R. Bushel United States
Ali M. Ardekani Iran
Mickaël Guedj France
Xiaochen Bo China
Ovidiu Bălăcescu Romania
Jialiang Yang China
Barry Demchak United States
Leming Shi China
Jin Gu relative to Markus List Germany Markus List's profile →
Citations per field
00.5×4.3×
Markus List · 1×
Citations per year

Countries citing papers authored by Jin Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20251
5 20247
6 20242
7 202413
8 202231
9 202213
10 20211
11 202159
12 202111
13 202036
14 20206
15 2018213
16 2018149
17 201411
18 201315
19 20125
20
Surge Protection of Electronic Circuit
20010

About Jin Gu

Jin Gu is a scholar working on Cancer Research, Molecular Biology, Biophysics, Immunology and Oncology, having authored 112 papers that have together received 2.7k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (23 papers), Cancer-related molecular mechanisms research (17 papers), MicroRNA in disease regulation (15 papers), Cancer Genomics and Diagnostics (13 papers), Gene expression and cancer classification (11 papers), Bioinformatics and Genomic Networks (11 papers), RNA modifications and cancer (9 papers) and Gene Regulatory Network Analysis (8 papers). The work is most often cited by research in Cancer Research (900 citations), Molecular Biology (1.8k citations), Biophysics (90 citations), Immunology (228 citations) and Oncology (293 citations). Jin Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dongfang Wang, Zijian Ding, Yanda Li, Xuegong Zhang, Michael Q. Zhang, Shao Li, Xiaowo Wang, Lei Chen, Songpeng Zu and Fei Li. Their work appears in journals such as Bioinformatics, Briefings in Bioinformatics, Genomics Proteomics & Bioinformatics, Molecular BioSystems and PLoS ONE.

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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