Pu Chen

1.1k citations
57 papers · 767 · h-index 15

Impact in

Papers in

Pu Chen

54 papers receiving 755 citations

Peers

Pu Chen
Comparison fields: 5 of 104
  • Urology 54
  • Nephrology 49
  • Molecular Biology 437
  • Cancer Research 84
  • Rheumatology 83
Replace Xiaohong Yang with:
Xiaohong Yang China
Ya Su China
Qun Zhang China
Rossana Rossi Italy
Mary-Beth McCarthy United States
A Randoux France
Leye He China
Xi Yu China
Xiangyuan Liu China
Pu Chen relative to Xiaohong Yang China Xiaohong Yang's profile →
Citations per field
00.5×2.9×
Xiaohong Yang · 1×
Citations per year

Countries citing papers authored by Pu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Pu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020177
2 201964
3 200140
4 202039
5 202033
6 202031
7 201631
8 202131
9 199527
10 202022
11 201919
12 202118
13 201417
14 202216
15 201814
16 201812
17
Expression of a recombinant human RGR opsin in Lentivirus-transduced cultured cells.
200011
18 202211
19 200611
20 200611

About Pu Chen

Pu Chen is a scholar working on Molecular Biology, General Economics, Econometrics and Finance, Economics and Econometrics, Rheumatology and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 767 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (9 papers), Economic theories and models (7 papers), Osteoarthritis Treatment and Mechanisms (6 papers), Economic Theory and Policy (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Extracellular vesicles in disease (4 papers), Ubiquitin and proteasome pathways (4 papers) and Natural product bioactivities and synthesis (3 papers). The work is most often cited by research in Urology (54 citations), Nephrology (49 citations), Molecular Biology (437 citations), Cancer Research (84 citations) and Rheumatology (83 citations). Pu Chen has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Qingfu Wang, Peter Flaschel, Jun Zhou, Terry D. Lee, Chuyue Zhang, Xiaozhe Zhang, Xiangmei Chen, Hongfeng Wang, Zhimou Yang and Xiaoniao Chen. Their work appears in journals such as Analytical Chemistry, Journal of Cellular and Molecular Medicine, Journal of Biological Chemistry, Journal of Orthopaedic Surgery and Research and In Vitro Cellular & Developmental Biology - Animal.

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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