Lu Pu

1.3k citations
27 papers · 1.1k · h-index 15

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 8
    • Neuropeptides and Animal Physiology 8
    • Neurotransmitter Receptor Influence on Behavior 3
    • Receptor Mechanisms and Signaling 7
    • Pharmacological Receptor Mechanisms and Effects 4
    • Bacterial biofilms and quorum sensing 3

Lu Pu

26 papers receiving 1.0k citations

Peers

Lu Pu
Comparison fields: 5 of 80
  • Cellular and Molecular Neuroscience 801
  • Behavioral Neuroscience 51
  • Developmental Neuroscience 57
  • Cognitive Neuroscience 236
  • Biological Psychiatry 18
Replace Changyong Guo with:
Changyong Guo United States
Luz M. Suárez Spain
J. Glen Newell Canada
Carl Weitlauf United States
Ezequiel Marrón Fernández de Velasco United States
Véronique Riban France
Richard M. Gustin United States
György Lür United States
Kirsten X. Jacobsen Canada
Lu Pu relative to Changyong Guo United States Changyong Guo's profile →
Citations per field
00.5×1.5×1.8×
Changyong Guo · 1×
Citations per year

Countries citing papers authored by Lu Pu

Since Specialization
Citations

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

Fields of papers citing papers by Lu Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005255
2 2002220
3 2006120
4 200392
5 200770
6 199754
7 201741
8 202335
9 199721
10 199919
11 199719
12 202118
13 202217
14 201216
15 201414
16 201411
17 19989
18 20089
19 20108
20 20238

About Lu Pu

Lu Pu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Complementary and alternative medicine and Genetics, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Neuropeptides and Animal Physiology (8 papers), Receptor Mechanisms and Signaling (7 papers), Pain Mechanisms and Treatments (5 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), Bacterial biofilms and quorum sensing (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Acupuncture Treatment Research Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (801 citations), Behavioral Neuroscience (51 citations), Developmental Neuroscience (57 citations), Cognitive Neuroscience (236 citations) and Biological Psychiatry (18 citations). Lu Pu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Mu‐ming Poo, Qing-song Liu, Lan Ma, Nan‐Jie Xu, Gang Pei, Gang Pei, Fan Jin, Aiguo Xia, Shuai Yang and Peng Xia. Their work appears in journals such as Journal of Neuroscience, ACS Synthetic Biology, Cell Research, PEDIATRICS and Biomedicines.

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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