Ling Tao

1.6k citations
26 papers · 1.4k · h-index 19

Impact in

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 21
    • Adipose Tissue and Metabolism 12

Ling Tao

24 papers receiving 1.4k citations

Peers

Ling Tao
Comparison fields: 5 of 79
  • Cardiology and Cardiovascular Medicine 451
  • Epidemiology 687
  • Physiology 473
  • Geriatrics and Gerontology 42
  • Endocrine and Autonomic Systems 69
Replace Sachiko Hattori with:
Sachiko Hattori Japan
Gary D. Lopaschuk Canada
John Y. Jun United States
Changhan Ouyang China
Xing Yu China
Sandra Sena United States
Christian Riehle United States
Shuzhuang Li China
Vasundhara Kain United States
Olga Gealekman United States
Ling Tao relative to Sachiko Hattori Japan Sachiko Hattori's profile →
Citations per field
00.5×1.5×2.1×
Sachiko Hattori · 1×
Citations per year

Countries citing papers authored by Ling Tao

Since Specialization
Citations

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

Fields of papers citing papers by Ling Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007403
2 2007156
3 2009125
4 2008104
5 200994
6 200981
7 201053
8 201548
9 200943
10 201841
11 201533
12 201132
13 201931
14 201629
15 201029
16 201228
17 201428
18 200925
19 201120
20 201417

About Ling Tao

Ling Tao is a scholar working on Epidemiology, Physiology, Cardiology and Cardiovascular Medicine, Molecular Biology and Pharmacology, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (21 papers), Adipose Tissue and Metabolism (12 papers), Cardiovascular Disease and Adiposity (8 papers), Cardiac Fibrosis and Remodeling (3 papers), Apelin-related biomedical research (2 papers), Vitamin C and Antioxidants Research (1 paper), Biomarkers in Disease Mechanisms (1 paper) and Sirtuins and Resveratrol in Medicine (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (451 citations), Epidemiology (687 citations), Physiology (473 citations), Geriatrics and Gerontology (42 citations) and Endocrine and Autonomic Systems (69 citations). Ling Tao has collaborated with scholars based in China and United States. Frequent co-authors include Erhe Gao, Theodore A. Christopher, Xin L., Yuexing Yuan, Bernard L. Lopez, Barry J. Goldstein, Wayne Bond Lau, Yajing Wang, Xiangying Jiao and Lawrence Chan. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Heart, Journal of Molecular and Cellular Cardiology, Antioxidants and Redox Signaling and Circulation.

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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