Xiaoting Wu

6.5k citations
204 papers · 4.7k · h-index 39

Impact in

    • Gastrointestinal Tumor Research and Treatment
  • Oncology top 5%
    • Cancer-related Molecular Pathways

Papers in

Xiaoting Wu

193 papers receiving 4.6k citations

Peers

Xiaoting Wu
Comparison fields: 5 of 162
  • Gastroenterology 202
  • Oncology 774
  • Cancer Research 407
  • Biochemistry 148
  • Nutrition and Dietetics 307
Replace Satoshi Kokura with:
Satoshi Kokura Japan
David W. McFadden United States
Ryszard Maciejewski Poland
Osamu Handa Japan
Dennis A. Priebat United States
Kazuhiko Uchiyama Japan
Concetta Tuccillo Italy
Hiroshi Ichikawa Japan
Jacek Baj Poland
Qing Zhang China
Xiaoting Wu relative to Satoshi Kokura Japan Satoshi Kokura's profile →
Citations per field
00.5×2.8×
Satoshi Kokura · 1×
Citations per year

Countries citing papers authored by Xiaoting Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 204 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009271
2 2020216
3 2020186
4 2011138
5 2007123
6 2014120
7 2019116
8 2007112
9 2019111
10 201983
11 201080
12 201968
13 201868
14 201966
15 201766
16 201865
17 202164
18 200958
19 201955
20 201055

About Xiaoting Wu

Xiaoting Wu is a scholar working on Molecular Biology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Cancer Research, having authored 204 papers that have together received 4.7k indexed citations. Recurring topics across this work include Gastrointestinal Tumor Research and Treatment (11 papers), Gastric Cancer Management and Outcomes (10 papers), Glutathione Transferases and Polymorphisms (9 papers), Genetic factors in colorectal cancer (8 papers), Cancer-related Molecular Pathways (7 papers), Face recognition and analysis (7 papers), Topic Modeling (6 papers) and Clinical Nutrition and Gastroenterology (6 papers). The work is most often cited by research in Gastroenterology (202 citations), Oncology (774 citations), Cancer Research (407 citations), Biochemistry (148 citations) and Nutrition and Dietetics (307 citations). Xiaoting Wu has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Yong Zhou, Wen Zhuang, Yaping Cui, Qianyi Wan, Lin Xia, Liang Du, Ping Yang, Rui Zhao, Ni Li and Yong Wang. Their work appears in journals such as World Journal of Gastroenterology, Journal of Cancer Research and Clinical Oncology, Scientific Reports, Digestive Diseases and Sciences and Medicine.

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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