Jin Pu

3.3k citations
34 papers · 2.5k indexed · 1 hit paper · h-index 19

Impact in

Papers in

Jin Pu

33 papers receiving 2.5k citations

Hit Papers

Electrical signals control wound healing through phosphatidylinositol-3-OH kinase-γ and PTEN 2006 · 887 citations
8872006202620122019250500750

Peers

Jin Pu
Comparison fields: 5 of 119
  • Cellular and Molecular Neuroscience 897
  • Rehabilitation 316
  • Molecular Biology 1.7k
  • Developmental Neuroscience 71
  • Paleontology 112
Replace Ann M. Rajnicek with:
Ann M. Rajnicek United Kingdom
Patrizia Ferretti United Kingdom
Petr Walczysko United Kingdom
Swetha E. Murthy United States
Kay E. Davies United Kingdom
Stefan Liebau Germany
Wenqin Luo United States
Marimélia Porcionatto Brazil
Jin Pu relative to Ann M. Rajnicek United Kingdom Ann M. Rajnicek's profile →
Citations per field
00.5×1.5×
Ann M. Rajnicek · 1×
Citations per year

Countries citing papers authored by Jin Pu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Electrical signals control wound healing through phosphatidylinositol-3-OH kinase-γ and PTEN
Hit paper breakdown →
2006887
2 2007257
3 2008203
4 2002171
5 2007114
6 2012114
7 201382
8 201371
9 200368
10 200563
11 201363
12 201158
13 200747
14 201541
15 201136
16 201136
17 200933
18 201124
19 202219
20 201418

About Jin Pu

Jin Pu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Rehabilitation, Paleontology and Developmental Neuroscience, having authored 34 papers that have together received 2.5k indexed citations. Recurring topics across this work include Planarian Biology and Electrostimulation (15 papers), Neuroscience and Neural Engineering (10 papers), Plant and Biological Electrophysiology Studies (7 papers), Photoreceptor and optogenetics research (4 papers), 3D Printing in Biomedical Research (3 papers), Ion channel regulation and function (3 papers), Pluripotent Stem Cells Research (3 papers) and Marine Invertebrate Physiology and Ecology (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (897 citations), Rehabilitation (316 citations), Molecular Biology (1.7k citations), Developmental Neuroscience (71 citations) and Paleontology (112 citations). Jin Pu has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Min Zhao, Colin McCaig, Brian Reid, Bing Song, John V. Forrester, Yu Gu, Lin Cao, Zhiqiang Zhao, Josef Penninger and Petr Walczysko. Their work appears in journals such as Journal of Cell Science, The FASEB Journal, Journal of Cellular Physiology, Investigative Ophthalmology & Visual Science and Cellular and Molecular Life Sciences.

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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