Pu Qin

2.3k citations
65 papers · 1.6k · h-index 22

Impact in

Papers in

    • Congenital heart defects research 10
    • Developmental Biology and Gene Regulation 9
    • Retinal Development and Disorders 8
    • Receptor Mechanisms and Signaling 3
    • Neuroscience and Neuropharmacology Research 8
    • Photoreceptor and optogenetics research 4

Pu Qin

62 papers receiving 1.5k citations

Peers

Pu Qin
Comparison fields: 5 of 129
  • Cellular and Molecular Neuroscience 411
  • Cancer Research 203
  • Molecular Biology 901
  • Biochemistry 50
  • Developmental Neuroscience 26
Replace Mugen Liu with:
Mugen Liu China
Masato Yano Japan
Nady Golestaneh United States
Michael Blumer Austria
Kåre‐Olav Stensløkken Norway
Heiko Peters United Kingdom
Sebastian Dworkin Australia
Pedro Sousa‐Victor Spain
Ewa Kozłowska Poland
Mekayla A. Storer Canada
Pu Qin relative to Mugen Liu China Mugen Liu's profile →
Citations per field
00.5×4.5×
Mugen Liu · 1×
Citations per year

Countries citing papers authored by Pu Qin

Since Specialization
Citations

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

Fields of papers citing papers by Pu Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004213
2 2020140
3 200592
4 201089
5 201088
6 199982
7 199961
8 201752
9 200446
10 201442
11 201641
12 200440
13 201739
14 200235
15 201235
16 200634
17 201932
18 200432
19 201730
20 200430

About Pu Qin

Pu Qin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Biomedical Engineering and Surgery, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include Congenital heart defects research (10 papers), Developmental Biology and Gene Regulation (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Retinal Development and Disorders (8 papers), Photoreceptor and optogenetics research (4 papers), Receptor Mechanisms and Signaling (3 papers), Advanced Surface Polishing Techniques (3 papers) and Advanced machining processes and optimization (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (411 citations), Cancer Research (203 citations), Molecular Biology (901 citations), Biochemistry (50 citations) and Developmental Neuroscience (26 citations). Pu Qin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Roberta G. Pourcho, Kenneth J. Soprano, Dianne Robert Soprano, Ruijin Huang, Bozena Fyk‐Kolodziej, Erding Hu, Ketan Patel, Ziqiang Yuan, Hongyi Chen and Dongqing Cai. Their work appears in journals such as Visual Neuroscience, The Journal of Comparative Neurology, Journal of Cellular and Molecular Medicine, Annals of Anatomy - Anatomischer Anzeiger and BMC Microbiology.

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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