Ning Zhong

3.8k citations
142 papers · 2.9k indexed · h-index 32
Topics
Pancreatic and Hepatic Oncology Research (12 papers)Neuroscience and Neuropharmacology Research (12 papers)Ion channel regulation and function (10 papers)

In The Last Decade

Ning Zhong

127 papers receiving 2.9k citations

Peers

Ning Zhong
Comparison fields: 5 of 146
  • Molecular Biology 1.3k
  • Genetics 497
  • Physiology 466
  • Cellular and Molecular Neuroscience 345
  • Oncology 322
Replace Christine S. Moravec with:
Christine S. Moravec United States
Jungsu Kim United States
Xiaoping Chen China
Mingyang Zhang China
Ursula Ravens Germany
Susanne Mohr United States
Elizabeth A. Woodcock Australia
Kathryn A. Yamada United States
Woo Jin Park South Korea
Bradley P. Ander United States
Ning Zhong relative to Christine S. Moravec United States Christine S. Moravec's profile →
Citations per field
00.5×2.5×
Christine S. Moravec · 1×
Citations per year

Countries citing papers authored by Ning Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Ning Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Zhong. A scholar is included among the top collaborators of Ning Zhong 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 Ning Zhong. Ning Zhong 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 0
2 4
3 3
4 12
5 18
6 7
7 16
8 31
9 0
10 32
11 30
12 19
13 27
14 11
15 114
16
Expression and significance of PTEN and CD44V6 in human non-small cell lung cancer of 50 patients aged over 50 years
1
17
The Disposal Investigation of Oily Wastewater
1
18 12
19
6 A -O-p-トルエンスルホニル-β-シクロデキストリン (β-シクロデキストリン,6 A -(4-メチルベンゼンスルホナート))
40
20
Evidence that fragile X gene (FMR-1) instability occurs within the 3{prime} end of the triplet repeat region
1

About Ning Zhong

Ning Zhong is a scholar working on Metals and Alloys, Cellular and Molecular Neuroscience and Oncology, having authored 142 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (12 papers), Neuroscience and Neuropharmacology Research (12 papers) and Ion channel regulation and function (10 papers). The work is most often cited by research in Metals and Alloys (70 citations), Cellular and Molecular Neuroscience (345 citations) and Molecular Biology (1.3k citations). Ning Zhong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Karl H. Weisgraber, Robert S. Zucker, Robert Bittman, Hoe‐Sup Byun, Vahri Beaumont, Liu X, Sunil Singhal, Ling Su, Gayathri Ramaswamy and W. Ted Brown. Their work appears in journals such as Journal of Biological Chemistry, Neuron and Nature Genetics.

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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