Timothy Su

2.0k citations
35 papers · 766 · h-index 13

Impact in

    • Breast Cancer Treatment Studies
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 10%
    • Cancer Risks and Factors
    • Colorectal Cancer Screening and Detection

Papers in

    • RNA modifications and cancer 4
    • TGF-β signaling in diseases 3
    • Circular RNAs in diseases 2
    • Colorectal Cancer Screening and Detection 4
    • Cancer Risks and Factors 3

Timothy Su

34 papers receiving 754 citations

Peers

Timothy Su
Comparison fields: 5 of 78
  • Cancer Research 176
  • Oncology 251
  • Gastroenterology 31
  • Molecular Biology 232
  • Pathology and Forensic Medicine 47
Replace Xiaoqing Jia with:
Xiaoqing Jia China
James J. Stragand United States
Wa Zhong China
Matthew Jennis United States
Stéphane Ribieras France
Edna Efrati Israel
Jianqiang Li China
José Duarte Spain
Rory Kennelly Ireland
Xinwei Wang China
Timothy Su relative to Xiaoqing Jia China Xiaoqing Jia's profile →
Citations per field
00.5×1.5×2.5×
Xiaoqing Jia · 1×
Citations per year

Countries citing papers authored by Timothy Su

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008101
2 201192
3 201176
4 201664
5 201558
6 200456
7 201255
8 201542
9 200635
10 200623
11 201421
12 202019
13 201618
14 200712
15 201411
16 201911
17 202011
18 201610
19 202110
20 20166

About Timothy Su

Timothy Su is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Surgery, having authored 35 papers that have together received 766 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (4 papers), Genetic factors in colorectal cancer (4 papers), RNA modifications and cancer (4 papers), Cancer Risks and Factors (3 papers), TGF-β signaling in diseases (3 papers), Cancer-related molecular mechanisms research (3 papers), Fatty Acid Research and Health (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (176 citations), Oncology (251 citations), Gastroenterology (31 citations), Molecular Biology (232 citations) and Pathology and Forensic Medicine (47 citations). Timothy Su has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Wei Zheng, Qiuyin Cai, Hui Cai, Kai Gu, Wei Lu, Ping‐Ping Bao, Xiao‐Ou Shu, Chung S. Yang, Xiao Ou Shu and Xiaoxin Chen. Their work appears in journals such as Breast Cancer Research and Treatment, Nutrition and Cancer, American Journal of Epidemiology, International Journal of COPD and Experimental Lung 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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