Sishun Gan

861 citations
30 papers · 585 · h-index 17

Impact in

Papers in

    • Epigenetics and DNA Methylation 7
    • Ubiquitin and proteasome pathways 6
    • RNA modifications and cancer 4
    • Cancer-related gene regulation 3
    • Single-cell and spatial transcriptomics 2
    • Renal cell carcinoma treatment 9
    • Ferroptosis and cancer prognosis 4

Sishun Gan

28 papers receiving 583 citations

Peers

Sishun Gan
Comparison fields: 5 of 56
  • Cancer Research 177
  • Pulmonary and Respiratory Medicine 143
  • Molecular Biology 317
  • Oncology 113
  • Immunology 60
Replace Fajun Qu with:
Fajun Qu China
Jen-Wei Tsai Taiwan
Xiao-Li Wei China
Matteo Curtarello Italy
Adriaan Vanderstichele Belgium
Mirja Rotinen United States
Anup Sharma United States
Alexandra Drakaki United States
Alessandra De Feo Italy
Lisha Wang China
Sishun Gan relative to Fajun Qu China Fajun Qu's profile →
Citations per field
00.5×1.5×2.4×
Fajun Qu · 1×
Citations per year

Countries citing papers authored by Sishun Gan

Since Specialization
Citations

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

Fields of papers citing papers by Sishun Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201848
2 202045
3 201640
4 201639
5 201738
6 202336
7 201531
8 202030
9 201826
10 202124
11 201823
12 201623
13 201721
14
Identification of a Potential Mechanism of Acute Kidney Injury During the Covid-19 Outbreak: A Study Based on Single-Cell Transcriptome Analysis
202021
15 202418
16 202018
17 201918
18 202216
19 202315
20 202314

About Sishun Gan

Sishun Gan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Surgery, having authored 30 papers that have together received 585 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (9 papers), Epigenetics and DNA Methylation (7 papers), Ubiquitin and proteasome pathways (6 papers), Cancer Genomics and Diagnostics (4 papers), Ferroptosis and cancer prognosis (4 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cancer Research (177 citations), Pulmonary and Respiratory Medicine (143 citations), Molecular Biology (317 citations), Oncology (113 citations) and Immunology (60 citations). Sishun Gan has collaborated with scholars based in China, United States and India. Frequent co-authors include Xiuwu Pan, Jianqing Ye, Fajun Qu, Chuanmin Chu, Xingang Cui, Da Xu, Qiwei Yang, Wenjin Chen, Xingang Cui and Jian-Qing Ye. Their work appears in journals such as Cell Death and Disease, Oncotarget, Journal of drug targeting, International Journal of Oncology and Cancer Cell International.

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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