Pu Jiang

986 citations
46 papers · 792 · h-index 16

Impact in

Papers in

    • Gut microbiota and health 2
    • RNA Research and Splicing 2
    • Inflammasome and immune disorders 2
    • PI3K/AKT/mTOR signaling in cancer 2

Pu Jiang

44 papers receiving 773 citations

Peers

Pu Jiang
Comparison fields: 5 of 100
  • Cancer Research 152
  • Health, Toxicology and Mutagenesis 96
  • Industrial and Manufacturing Engineering 58
  • Aquatic Science 36
  • Pollution 55
Replace C Curtis with:
C Curtis United Kingdom
Xue Qi China
Yi Xiao China
Felipe Cavalcanti Carneiro da Silva Brazil
Ram Vinod Roy United States
Wei Peng China
Shenshen Zhang China
Chiara Urani Italy
Haitian Lu United States
Osamu Yamanoshita Japan
Pu Jiang relative to C Curtis United Kingdom C Curtis's profile →
Citations per field
00.5×10×15×20.5×
C Curtis · 1×
Citations per year

Countries citing papers authored by Pu Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Pu Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008158
2 201986
3 201785
4 201852
5 202040
6 202132
7 201830
8 202129
9 201722
10 201721
11 201919
12 201519
13 201719
14 201918
15 200817
16 200816
17 201515
18 201815
19 202114
20 202013

About Pu Jiang

Pu Jiang is a scholar working on Molecular Biology, Cancer Research, Immunology, Surgery and Epidemiology, having authored 46 papers that have together received 792 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (3 papers), Gut microbiota and health (2 papers), Cholesterol and Lipid Metabolism (2 papers), RNA Research and Splicing (2 papers), Berberine and alkaloids research (2 papers), Inflammasome and immune disorders (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Cancer Research (152 citations), Health, Toxicology and Mutagenesis (96 citations), Industrial and Manufacturing Engineering (58 citations), Aquatic Science (36 citations) and Pollution (55 citations). Pu Jiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bing Han, Xiaoli Ye, Zhaoxing Li, Xuegang Li, Yang Yu, Tao Huang, Heshan Xu, Yuanfeng Li, Xuemin Chen and Jing Yuan. Their work appears in journals such as Digestive Diseases and Sciences, Journal of Agricultural and Food Chemistry, npj Parkinson s Disease, International Journal of Oral and Maxillofacial Surgery and European Journal of Medicinal Chemistry.

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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