Peijun Li

2.5k citations
85 papers · 1.7k indexed · h-index 25
Topics
Neonatal and fetal brain pathology (12 papers)Neuroscience and Neuropharmacology Research (11 papers)Meat and Animal Product Quality (10 papers)

In The Last Decade

Peijun Li

79 papers receiving 1.7k citations

Peers

Peijun Li
Comparison fields: 5 of 124
  • Molecular Biology 539
  • Cellular and Molecular Neuroscience 346
  • Developmental Neuroscience 315
  • Neurology 234
  • Animal Science and Zoology 201
Replace Marianna Crispino with:
Marianna Crispino Italy
J Pokorný Czechia
J.M. Bourre France
Mauro Schneider Oliveira Brazil
L. Antunes Portugal
Jean‐Denis Troadec France
Xueying Jiang United States
Toru Moriguchi Japan
Sara Anna Bonini Italy
Philippe Guesnet France
Peijun Li relative to Marianna Crispino Italy Marianna Crispino's profile →
Citations per field
00.5×3.2×
Marianna Crispino · 1×
Citations per year

Countries citing papers authored by Peijun Li

Since Specialization
Citations

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

Fields of papers citing papers by Peijun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peijun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Peijun Li. A scholar is included among the top collaborators of Peijun Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peijun Li. Peijun Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 5
3 0
4 2
5 44
6 8
7 2
8 3
9 5
10 48
11 4
12 17
13 58
14
[Dynamic study and screening of new markers of spermatogonial stem cells by iTRAQ protein mass spectrometry].
1
15 2
16 4
17
Effects of cadmium stress on morphological, physiological indexes and mismatch repair related genes expression of Arabidopsis thaliana seedlings.
0
18 118
19
Effects of Petroleum on the Seed Germination and Growth of Wheat and Alfalfa in Soil
1
20 5

About Peijun Li

Peijun Li is a scholar working on Developmental Neuroscience, Animal Science and Zoology and Cellular and Molecular Neuroscience, having authored 85 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (12 papers), Neuroscience and Neuropharmacology Research (11 papers) and Meat and Animal Product Quality (10 papers). The work is most often cited by research in Developmental Neuroscience (315 citations), Neurology (234 citations) and Animal Science and Zoology (201 citations). Peijun Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Molly M. Huntsman, Vittorio Gallo, Joseph Scafidi, Conggui Chen, Jean‐Marie Mangin, Baocai Xu, Jackie D. Corbin, Xiaoqin Fu, Zhenlang Lin and Qian Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

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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