Leping Cheng

2.8k citations
23 papers · 2.2k · h-index 20

Impact in

    • Neurogenesis and neuroplasticity mechanisms
    • Developmental Biology and Gene Regulation
    • CRISPR and Genetic Engineering
    • Pluripotent Stem Cells Research
    • Genomics and Chromatin Dynamics

Papers in

Leping Cheng

23 papers receiving 2.2k citations

Peers

Leping Cheng
Comparison fields: 5 of 79
  • Developmental Neuroscience 532
  • Molecular Biology 1.2k
  • Sensory Systems 90
  • Cellular and Molecular Neuroscience 247
  • Physiology 235
Replace Hagen Wende with:
Hagen Wende Germany
Diego Echevarrı́a Spain
Hui Zhen SHENG China
Andy J. Fischer United States
Kory R. Johnson United States
Victor V. Chizhikov United States
Euiseok J. Kim United States
John O. Mason United Kingdom
Ariel J. Levine United States
Luis Rodrigo Hernandez-Miranda Germany
Leping Cheng relative to Hagen Wende Germany Hagen Wende's profile →
Citations per field
00.5×1.5×
Hagen Wende · 1×
Citations per year

Countries citing papers authored by Leping Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Leping Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004361
2 2004285
3 2017259
4 2018234
5 2005157
6 2003155
7 2010155
8 200979
9 200878
10 200861
11 200855
12 201354
13 202040
14 201139
15 201236
16 200434
17 202134
18 201933
19 202122
20 200120

About Leping Cheng

Leping Cheng is a scholar working on Developmental Neuroscience, Molecular Biology, Sensory Systems, Physiology and Cancer Research, having authored 23 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (14 papers), Developmental Biology and Gene Regulation (10 papers), Pluripotent Stem Cells Research (4 papers), Pain Mechanisms and Treatments (3 papers), MicroRNA in disease regulation (2 papers), Neuropeptides and Animal Physiology (2 papers), Ion Channels and Receptors (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Developmental Neuroscience (532 citations), Molecular Biology (1.2k citations), Sensory Systems (90 citations), Cellular and Molecular Neuroscience (247 citations) and Physiology (235 citations). Leping Cheng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Qiufu Ma, Tianwen Huang, Martyn Goulding, Yueguang Liu, Menggui Huang, Senji Shirasawa, Rumiko Mizuguchi, Ying Qian, Naihe Jing and Mengsheng S. Qiu. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience, Cell Reports, Acta Biochimica et Biophysica Sinica and Developmental Biology.

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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