Tie‐Ning Zhang

3.3k citations
75 papers · 2.2k indexed · 1 hit paper · h-index 27
Topics
Cancer-related molecular mechanisms research (12 papers)Circular RNAs in diseases (11 papers)MicroRNA in disease regulation (7 papers)
Partner nations
ChinaUnited StatesIsrael

In The Last Decade

Tie‐Ning Zhang

71 papers receiving 2.2k citations

Hit Papers

The sirtuin family in health and disease20222026202320242022100200300400

Peers

Tie‐Ning Zhang
Comparison fields: 5 of 126
  • Molecular Biology 1.0k
  • Cancer Research 440
  • Epidemiology 353
  • Geriatrics and Gerontology 258
  • Public Health, Environmental and Occupational Health 217
Replace Won Kim with:
Won Kim South Korea
Meilian Liu China
Isao Usui Japan
Jachelle M. Ofrecio United States
Speranza Rubattu Italy
Caixia Liu China
Xiaohui Zhu China
Gregory Alexander Raciti Italy
Guillaume Vial France
Hyun Jin Kim South Korea
Tie‐Ning Zhang relative to Won Kim South Korea Won Kim's profile →
Citations per field
00.5×4.1×
Won Kim · 1×
Citations per year

Countries citing papers authored by Tie‐Ning Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Tie‐Ning Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tie‐Ning Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Tie‐Ning Zhang. A scholar is included among the top collaborators of Tie‐Ning Zhang 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 Tie‐Ning Zhang. Tie‐Ning Zhang 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 1
2 3
3 4
4 2
5 2
6 1
7 22
8 4
9 3
10 5
11 49
12 16
13 8
14 2
15 33
16 23
17 28
18 30
19 12
20 15

About Tie‐Ning Zhang

Tie‐Ning Zhang is a scholar working on Geriatrics and Gerontology, Cancer Research and Obstetrics and Gynecology, having authored 75 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), Circular RNAs in diseases (11 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Geriatrics and Gerontology (258 citations), Cancer Research (440 citations) and Obstetrics and Gynecology (146 citations). Tie‐Ning Zhang has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Ri Wen, Qi‐Jun Wu, Chunfeng Liu, Ni Yang, Huanhuan Chen, Jia-Le Lv, Yashu Liu, Da Li, Fang-Hua Liu and Xuefei Yu. Their work appears in journals such as Circulation Research, The Journal of Clinical Endocrinology & Metabolism and Oncogene.

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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