Jiangbin Wu

2.8k citations
42 papers · 2.1k · 1 hit paper · h-index 22

Impact in

    • Enzyme Production and Characterization
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Jiangbin Wu

41 papers receiving 2.1k citations

Jiangbin Wu's Hit Papers

Cellulase, Clostridia, and Ethanol 2005 · 650 citations
6500+7+14Years since publication200400600

Peers

Jiangbin Wu
Comparison fields: 5 of 111
  • Biotechnology 465
  • Cancer Research 389
  • Biomedical Engineering 881
  • Molecular Biology 1.2k
  • Biomaterials 177
Replace Hee Jin Lee with:
Hee Jin Lee South Korea
Bernard Haye France
Haidong Tan China
Takeshi Ito Japan
Qinqin Jiang China
Wiebke Schormann Germany
Jianyong Xu China
Jingfeng Tang China
Jiangbin Wu relative to Hee Jin Lee South Korea Hee Jin Lee's profile →
Citations per field
00.5×3.7×
Hee Jin Lee · 1×
Citations per year

Countries citing papers authored by Jiangbin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jiangbin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cellulase, Clostridia, and Ethanol
Hit paper breakdown →
2005650
2 2001121
3 1988109
4 200287
5 201585
6 201673
7 202070
8 201170
9 200169
10 201966
11 201265
12 201757
13 200450
14 199849
15 200147
16 201445
17 200744
18 200043
19 201440
20 201732

About Jiangbin Wu

Jiangbin Wu is a scholar working on Molecular Biology, Biomedical Engineering, Cancer Research, Biotechnology and Plant Science, having authored 42 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (11 papers), MicroRNA in disease regulation (8 papers), Biofuel production and bioconversion (8 papers), RNA Research and Splicing (7 papers), Polysaccharides and Plant Cell Walls (6 papers), Enzyme Production and Characterization (5 papers), Circular RNAs in diseases (4 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Biotechnology (465 citations), Cancer Research (389 citations), Biomedical Engineering (881 citations), Molecular Biology (1.2k citations) and Biomaterials (177 citations). Jiangbin Wu has collaborated with scholars based in United States, China and Pakistan. Frequent co-authors include Arnold L. Demain, Betsy L. Lytle, Yaou Zhang, Naihan Xu, Weidong Xie, Peng Yao, Jie He, William H. Orme‐Johnson, Athanasios Mantalaris and William M. Westler. Their work appears in journals such as Nucleic Acids Research, Biochemical and Biophysical Research Communications, Circulation Research, Applied Microbiology and Biotechnology and Cell Communication and Signaling.

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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