Pu Chen

1.1k citations
63 papers · 816 · h-index 15

Impact in

Papers in

Pu Chen

57 papers receiving 801 citations

Peers

Pu Chen
Comparison fields: 5 of 107
  • Urology 48
  • Nephrology 40
  • Molecular Biology 402
  • General Economics, Econometrics and Finance 49
  • Cancer Research 73
Replace Rossana Rossi with:
Rossana Rossi Italy
Qun Zhang China
Ya Su China
A Randoux France
Zhiwen Chen China
Qingyun Zhang China
Yi‐Hsiung Lin Taiwan
Xiangyuan Liu China
Leye He China
Pu Chen relative to Rossana Rossi Italy Rossana Rossi's profile →
Citations per field
00.5×1.5×2.2×
Rossana Rossi · 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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020185
2 201967
3 202044
4 200140
5 202035
6 202132
7 202032
8 201631
9 199527
10 202023
11 202120
12 201920
13 202217
14 201417
15 201814
16 200613
17 202212
18
Expression of a recombinant human RGR opsin in Lentivirus-transduced cultured cells.
200012
19 201812
20 200611

About Pu Chen

Pu Chen is a scholar working on Molecular Biology, General Economics, Econometrics and Finance, Economics and Econometrics, Oncology and Rheumatology, having authored 63 papers that have together received 816 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (10 papers), Economic theories and models (7 papers), Economic Theory and Policy (6 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Extracellular vesicles in disease (4 papers), Ubiquitin and proteasome pathways (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Urology (48 citations), Nephrology (40 citations), Molecular Biology (402 citations), General Economics, Econometrics and Finance (49 citations) and Cancer Research (73 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, Adam C. Midgley, Jie Wu, Zhongyan Wang and Lingling Wu. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Analytical Chemistry, Frontiers in Pharmacology, In Vitro Cellular & Developmental Biology - Animal and Journal of Orthopaedic Surgery and Research.

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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