Jin Wu

2.1k citations
36 papers · 1.4k · 2 hit papers · h-index 18

Impact in

Papers in

Jin Wu

34 papers receiving 1.3k citations

Jin Wu's Hit Papers

Exosome-mediated targeted delivery of miR-210 for angiogenic therapy after cerebral ischemia in mice 2019 · 232 citations
2320+2+5Years since publication50100150200250

Peers

Jin Wu
Comparison fields: 5 of 126
  • Cancer Research 225
  • Biological Psychiatry 31
  • Neurology 92
  • Oral Surgery 50
  • Molecular Biology 486
Replace Ling Hu with:
Ling Hu China
Steven A. Harris United States
Wei-Liang Chen China
Junwei Yan China
Edmund A. Pribitkin United States
Qian Liu China
Jian Li China
Lan Huang China
Yongjie Zhang China
Juling Ong United Kingdom
Jin Wu relative to Ling Hu China Ling Hu's profile →
Citations per field
00.5×3.3×
Ling Hu · 1×
Citations per year

Countries citing papers authored by Jin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Boosting mTOR-dependent autophagy via upstream TLR4-MyD88-MAPK signalling and downstream NF-κB pathway quenches intestinal inflammation and oxidative stress injury
Hit paper breakdown →
2018284
2
Exosome-mediated targeted delivery of miR-210 for angiogenic therapy after cerebral ischemia in mice
Hit paper breakdown →
2019232
3 2016114
4 200595
5 201462
6 200160
7 202458
8
Elevated expressions of serum miR-15a, miR-16, and miR-17-5p are associated with acute ischemic stroke.
201556
9 202351
10 201342
11 201635
12 201135
13 201928
14 201926
15 202122
16 201921
17
Tumor-Infiltrating CD4+ Central Memory T Cells Correlated with Favorable Prognosis in Oral Squamous Cell Carcinoma
202218
18 201917
19 201516
20 202312

About Jin Wu

Jin Wu is a scholar working on Molecular Biology, Epidemiology, Neurology, Immunology and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), MicroRNA in disease regulation (3 papers), Inflammasome and immune disorders (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Foreign Body Medical Cases (1 paper), Hepatitis B Virus Studies (1 paper) and Therapeutic Uses of Natural Elements (1 paper). The work is most often cited by research in Cancer Research (225 citations), Biological Psychiatry (31 citations), Neurology (92 citations), Oral Surgery (50 citations) and Molecular Biology (486 citations). Jin Wu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Yingwei Chen, Cong Zhang, Mingxia Zhou, Wensong Ge, Yingying Shi, Peng Du, Junkai Yan, Weimin Xu, Xiang Lü and Jiahuan Wu. Their work appears in journals such as BMC Public Health, Cephalalgia, Surgery Today, PLoS ONE and Body Image.

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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