Na Pan

1.9k citations
37 papers · 1.3k · 1 hit paper · h-index 16

Impact in

Papers in

Na Pan

37 papers receiving 1.2k citations

Na Pan's Hit Papers

A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex 2018 · 435 citations
4350+2+5Years since publication100200300400

Peers

Na Pan
Comparison fields: 5 of 106
  • Developmental Neuroscience 103
  • Neurology 124
  • Biological Psychiatry 23
  • Molecular Biology 666
  • Cellular and Molecular Neuroscience 169
Replace Ning Huang with:
Ning Huang China
Katarzyna B. Kalita Poland
Birger Victor Dieriks New Zealand
Dongliang Ma Singapore
Gerard M. J. Beaudoin United States
Stylianos Kosmidis United States
Chi Wai Lee Hong Kong
Natalia V. Gounko Belgium
Jae Ryun Ryu South Korea
Congyi Lu United States
Na Pan relative to Ning Huang China Ning Huang's profile →
Citations per field
00.5×1.5×
Ning Huang · 1×
Citations per year

Countries citing papers authored by Na Pan

Since Specialization
Citations

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

Fields of papers citing papers by Na Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex
Hit paper breakdown →
2018435
2 202188
3 199573
4 201973
5 200769
6 201568
7 202351
8 201938
9 201237
10 201434
11 200933
12 201830
13 202326
14 200924
15 201223
16 202221
17 202013
18 200713
19 201511
20 201410

About Na Pan

Na Pan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Neurology, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (10 papers), Cardiac electrophysiology and arrhythmias (5 papers), Nicotinic Acetylcholine Receptors Study (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), CRISPR and Genetic Engineering (2 papers), Pluripotent Stem Cells Research (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Developmental Neuroscience (103 citations), Neurology (124 citations), Biological Psychiatry (23 citations), Molecular Biology (666 citations) and Cellular and Molecular Neuroscience (169 citations). Na Pan has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Xiaoqun Wang, Qian Wu, Le Sun, Long Li, Xiaoying Fan, Shu Xin Zhang, Fuchou Tang, Xiaohui Xu, Haofeng Zhang and Ji Dong. Their work appears in journals such as Scientific Reports, PLoS ONE, Journal of Biological Chemistry, Acta Pharmacologica Sinica and Biophysical Journal.

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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