Jiang Wu

3.1k citations
113 papers · 2.4k · h-index 27

Impact in

Papers in

    • Colorectal Cancer Surgical Treatments 10
    • Colorectal Cancer Treatments and Studies 9
    • Cancer Immunotherapy and Biomarkers 4
    • Genetic factors in colorectal cancer 13

Jiang Wu

107 papers receiving 2.3k citations

Peers

Jiang Wu
Comparison fields: 5 of 120
  • Developmental Neuroscience 132
  • Pharmacology 319
  • Neurology 157
  • Oncology 437
  • Cancer Research 237
Replace Takashi Otsuka with:
Takashi Otsuka Japan
Kun Jin China
Weilin Xu China
Jun Harada Japan
Chuanzhen Lü China
Sampsa Pikkarainen Finland
Antonio Bruno Italy
Jean-Noël Vallée France
Antonio José Sánchez Spain
Jiang Wu relative to Takashi Otsuka Japan Takashi Otsuka's profile →
Citations per field
00.5×2×3.1×
Takashi Otsuka · 1×
Citations per year

Countries citing papers authored by Jiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005452
2 2022122
3 2015107
4 201763
5 201862
6 201757
7 202152
8 201251
9 201450
10 201450
11 202150
12 200848
13 201846
14 201845
15 201844
16 202042
17 201337
18 202336
19 201734
20 201734

About Jiang Wu

Jiang Wu is a scholar working on Oncology, Pathology and Forensic Medicine, Cancer Research, Neurology and Rheumatology, having authored 113 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (13 papers), Colorectal Cancer Surgical Treatments (10 papers), Colorectal Cancer Treatments and Studies (9 papers), Acute Ischemic Stroke Management (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), MicroRNA in disease regulation (4 papers), Neurological Complications and Syndromes (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Developmental Neuroscience (132 citations), Pharmacology (319 citations), Neurology (157 citations), Oncology (437 citations) and Cancer Research (237 citations). Jiang Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Pei-Rong Ding, 潘志忠, Weirong Chen, Haotian Lin, Qiwei Wang, Ling-Heng Kong, Tiao Lin, Jing-Hua Tang, Binyi Xiao and Hongliang Zhang. Their work appears in journals such as BMC Cancer, Translational Stroke Research, Journal of Cancer, Neurology and Neurological Sciences.

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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