Yanling Yan

41 papers receiving 827 citations

Peers

Yanling Yan
Comparison fields: 5 of 138
  • Aging 20
  • Nephrology 65
  • Organizational Behavior and Human Resource Management 90
  • Molecular Biology 395
  • Endocrinology, Diabetes and Metabolism 92
Replace Noriko Yagi with:
Noriko Yagi Japan
Eva‐Maria Schmidt Germany
Yuqi Chen China
Chen‐Tian Shen China
Tomoko Miyoshi Japan
Michael Kelleher Ireland
Hui Huang China
Lei Gao China
Sandeep Arora India
Yanling Yan relative to Noriko Yagi Japan Noriko Yagi's profile →
Citations per field
00.5×6.4×
Noriko Yagi · 1×
Citations per year

Countries citing papers authored by Yanling Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yanling Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201375
2 201155
3 201455
4 201653
5 201252
6 201650
7 201441
8 201637
9 201235
10 201632
11 202130
12 202129
13 202229
14 201427
15 201526
16 201621
17 202320
18 201619
19 202315
20 202214

About Yanling Yan

Yanling Yan is a scholar working on Molecular Biology, Cell Biology, Endocrinology, Diabetes and Metabolism, Organizational Behavior and Human Resource Management and Social Psychology, having authored 43 papers that have together received 841 indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (14 papers), Job Satisfaction and Organizational Behavior (6 papers), Hormonal Regulation and Hypertension (5 papers), Cellular transport and secretion (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Ion channel regulation and function (4 papers), Sodium Intake and Health (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Aging (20 citations), Nephrology (65 citations), Organizational Behavior and Human Resource Management (90 citations), Molecular Biology (395 citations) and Endocrinology, Diabetes and Metabolism (92 citations). Yanling Yan has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Jiang Liu, Roy L. Silverstein, Zijian Xie, Deepak Malhotra, David J. Kennedy, Jiang Tian, Steven T. Haller, Erhua Zhou, Lijun Liu and Anna P. Shapiro. Their work appears in journals such as Journal of the American Heart Association, Journal of Biological Chemistry, International Journal of Molecular Sciences, Virus Research and Scientific Reports.

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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