Ke Ning

5.4k citations
76 papers · 4.3k · h-index 35

Impact in

Papers in

    • Neurogenetic and Muscular Disorders Research 7
    • Amyotrophic Lateral Sclerosis Research 9

Ke Ning

76 papers receiving 4.2k citations

Peers

Ke Ning
Comparison fields: 5 of 113
  • Genetics 517
  • Developmental Neuroscience 121
  • Neurology 446
  • Cellular and Molecular Neuroscience 489
  • Endocrine and Autonomic Systems 128
Replace Miguel Lafarga with:
Miguel Lafarga Spain
Rosa M. Soler Spain
Dhruv Sareen United States
Quanhong Ma China
P. Hande Özdi̇nler United States
Hitoshi Okazawa Japan
Alessandro Quattrone Italy
Gabsang Lee United States
Vı́tězslav Bryja Czechia
Jay E. Brenman United States
Ke Ning relative to Miguel Lafarga Spain Miguel Lafarga's profile →
Citations per field
00.5×1.5×2.2×
Miguel Lafarga · 1×
Citations per year

Countries citing papers authored by Ke Ning

Since Specialization
Citations

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

Fields of papers citing papers by Ke Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011347
2 2004253
3 2010245
4 2003164
5 2006158
6 2004152
7 2004145
8 2008128
9 2012126
10 2001116
11 2002114
12 2010113
13 2004111
14 2017105
15 2002100
16 200689
17 201788
18 200087
19 202282
20 201981

About Ke Ning

Ke Ning is a scholar working on Genetics, Neurology, Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 76 papers that have together received 4.3k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (9 papers), Cell death mechanisms and regulation (8 papers), Neurogenetic and Muscular Disorders Research (7 papers), Alzheimer's disease research and treatments (6 papers), Advanced Proteomics Techniques and Applications (4 papers), Molecular Biology Techniques and Applications (4 papers), RNA Interference and Gene Delivery (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). The work is most often cited by research in Genetics (517 citations), Developmental Neuroscience (121 citations), Neurology (446 citations), Cellular and Molecular Neuroscience (489 citations) and Endocrine and Autonomic Systems (128 citations). Ke Ning has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include John C. Reed, Yama A. Abassi, Pamela J. Shaw, Xiaobo Wang, Mimoun Azzouz, Adam Godzik, Chiara F. Valori, Matthew Wyles, Richard J. Mead and Daniel F. Voytas. Their work appears in journals such as Cell Death and Disease, Journal of Biological Chemistry, Journal of Neuroscience, RNA and Experimental Cell Research.

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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