Ning Mo

695 citations
32 papers · 594 · h-index 13

Impact in

Papers in

Ning Mo

30 papers receiving 576 citations

Peers

Ning Mo
Comparison fields: 5 of 65
  • Endocrine and Autonomic Systems 140
  • Cellular and Molecular Neuroscience 317
  • Physiology 110
  • Molecular Biology 303
  • Cardiology and Cardiovascular Medicine 86
Replace Perrine Gaub with:
Perrine Gaub Canada
Bertolt Seidel Germany
Akihiko Himeno Japan
Jian‐Guo Qi China
Takayuki Endoh Japan
Claire Baldwin United States
Karin Motejlek Germany
Marangos Pj United States
Dennis A. Przywara United States
Karin Wallis Sweden
Ning Mo relative to Perrine Gaub Canada Perrine Gaub's profile →
Citations per field
00.5×2×3×4.3×
Perrine Gaub · 1×
Citations per year

Countries citing papers authored by Ning Mo

Since Specialization
Citations

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

Fields of papers citing papers by Ning Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198968
2 198860
3 201449
4 198449
5 201743
6 198738
7 198736
8 199632
9 198629
10 198628
11 199427
12 198522
13 201620
14 198513
15 202112
16 198912
17 198411
18 20109
19 19888
20 20196

About Ning Mo

Ning Mo is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine, having authored 32 papers that have together received 594 indexed citations. Recurring topics across this work include Ion channel regulation and function (9 papers), Neuropeptides and Animal Physiology (9 papers), Neuroscience and Neuropharmacology Research (7 papers), Receptor Mechanisms and Signaling (6 papers), Neuroscience of respiration and sleep (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Pain Mechanisms and Treatments (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (140 citations), Cellular and Molecular Neuroscience (317 citations), Physiology (110 citations), Molecular Biology (303 citations) and Cardiology and Cardiovascular Medicine (86 citations). Ning Mo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Nae J. Dun, David I. Wallis, Alan H. D. Watson, Keqin Yang, Rachida Ammari, Yan Liu, Qinghua Huang, Jiwen Cheng, Yongkui Lu and Hongxue Wang. Their work appears in journals such as The Journal of Physiology, Brain Research, Lara D. Veeken, Frontiers in Oncology and Microscopy Research and Technique.

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.

Explore authors with similar magnitude of impact