Xiaosan Su

773 citations
30 papers · 573 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

    • RNA modifications and cancer 4
    • Immune cells in cancer 5
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 3

Xiaosan Su

24 papers receiving 563 citations

Peers

Xiaosan Su
Comparison fields: 5 of 73
  • Cancer Research 169
  • Immunology 122
  • Molecular Biology 277
  • Oncology 98
  • Psychiatry and Mental health 49
Replace Hai Zhou with:
Hai Zhou China
Ali Kuraishy United States
Laura Mosca Italy
Xuejiao Chen China
Wujun Xiong China
Huei-Mei Huang Taiwan
Shangdan Xie China
Valentin David France
Jun Yun China
Xiaosan Su relative to Hai Zhou China Hai Zhou's profile →
Citations per field
00.5×3.6×
Hai Zhou · 1×
Citations per year

Countries citing papers authored by Xiaosan Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiaosan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaosan Su, 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 Xiaosan Su Line = papers co-authored together Xiaosan Su 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 2016112
2 201883
3 201643
4 201842
5 201839
6 201734
7 201531
8 202431
9 201029
10 202121
11 200720
12 201017
13 202311
14 201811
15 200811
16 20249
17 20236
18 20155
19 20114
20 20224

About Xiaosan Su

Xiaosan Su is a scholar working on Molecular Biology, Immunology, Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 30 papers that have together received 573 indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), Ferroptosis and cancer prognosis (4 papers), RNA modifications and cancer (4 papers), Immune Cell Function and Interaction (3 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (169 citations), Immunology (122 citations), Molecular Biology (277 citations), Oncology (98 citations) and Psychiatry and Mental health (49 citations). Xiaosan Su has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Baowei Jiao, Yang Liu, Li Zou, Qin Yang, Limin Zhao, Feng Xu, Haibo Xu, Ke Hao, Junsong Ye and Rui Chen. Their work appears in journals such as Journal of Ethnopharmacology, Cancer Biotherapy and Radiopharmaceuticals, eLife, International Journal of Cancer and Biochemical and Biophysical Research 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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