Yun Ning

988 citations
19 papers · 761 · h-index 10

Impact in

Papers in

Yun Ning

18 papers receiving 748 citations

Peers

Yun Ning
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 386
  • Endocrine and Autonomic Systems 41
  • Molecular Biology 360
  • Pharmacology 78
  • Cardiology and Cardiovascular Medicine 102
Replace Se Hee Min with:
Se Hee Min South Korea
Christian G. Ziegler Germany
Audrey L. Hildebrandt United States
Gregory Gick United States
A Gérard Belgium
Rohit Kulkarni United States
Fang Yu China
Kathryn L. Corbin United States
So Nagai Japan
Lingguang Cui United States
Yun Ning relative to Se Hee Min South Korea Se Hee Min's profile →
Citations per field
00.5×2.9×
Se Hee Min · 1×
Citations per year

Countries citing papers authored by Yun Ning

Since Specialization
Citations

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

Fields of papers citing papers by Yun Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2009132
2 2006132
3 2005103
4 200897
5 200883
6 201154
7 200754
8 201447
9 200933
10 202314
11 20233
12
[Fish resources and their conservation strategies in Hepu Dugong State Nature Reserve and its adjacent waters].
20063
13 20201
14 20211
15 20241
16 20091
17
Mammary Gland-specific Expression Vectors with Intron V of the Human Thrombopoietin Gene Facilitate Its High-level Expression in HC-11 cells
20071
18
Characteristic Analysis of Entering-Sea Pollutant in Guangxi Inshore Sea Area
20101
19 20250

About Yun Ning

Yun Ning is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 761 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Diet, Metabolism, and Disease (3 papers), Receptor Mechanisms and Signaling (3 papers), Lipid metabolism and disorders (3 papers), Diabetes Treatment and Management (3 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (386 citations), Endocrine and Autonomic Systems (41 citations), Molecular Biology (360 citations), Pharmacology (78 citations) and Cardiology and Cardiovascular Medicine (102 citations). Yun Ning has collaborated with scholars based in China, United States and France. Frequent co-authors include John E. Pintar, Alwin G. Schuller, Cheryl A. Conover, Lan Hong, Jan Frystyk, Peter Rotwein, Sheri Bradshaw, Thomas Ludwig, Richard E. Mains and Bonnie Peng. Their work appears in journals such as Molecular Endocrinology, Journal of Pharmacology and Experimental Therapeutics, Endocrinology, International Journal of Pharmaceutics and Diabetes.

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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