Jian‐Ting Zhang

8.4k citations
187 papers · 6.8k indexed · h-index 50
Topics
Drug Transport and Resistance Mechanisms (49 papers)RNA and protein synthesis mechanisms (24 papers)Cancer, Lipids, and Metabolism (19 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Jian‐Ting Zhang

181 papers receiving 6.7k citations

Peers

Jian‐Ting Zhang
Comparison fields: 5 of 141
  • Molecular Biology 4.5k
  • Oncology 2.2k
  • Cancer Research 1.1k
  • Surgery 523
  • Biomedical Engineering 381
Replace Murray D. Norris with:
Murray D. Norris Australia
Christiane Guguen‐Guillouzo France
Kenneth K.W. To Hong Kong
Jacqueline Cloos Netherlands
Martin Clynes Ireland
Ulrike Stein Germany
Agnese Molinari Italy
Olivier Micheau France
Marion MacFarlane United Kingdom
Robert I. Glazer United States
Jian‐Ting Zhang relative to Murray D. Norris Australia Murray D. Norris's profile →
Citations per field
00.5×1.5×2.2×
Murray D. Norris · 1×
Citations per year

Countries citing papers authored by Jian‐Ting Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Jian‐Ting Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian‐Ting Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Jian‐Ting Zhang. A scholar is included among the top collaborators of Jian‐Ting 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 Jian‐Ting Zhang. Jian‐Ting 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 0
2 3
3 4
4 5
5 5
6 1
7 15
8 27
9 53
10 54
11 5
12 28
13 70
14
Multidrug resistance-associated protein 1 (MRP1/ABCC1) polymorphism: from discovery to clinical application
19
15 65
16
ON-LINE GROUP SPATIAL DECISION SUPPORT SYSTEM FOR INVESTMENT ENVIRONMENT ANALYSIS
3
17 42
18
Salvianolic acid B protects brain against injuries caused by ischemia-reperfusion in rats.
126
19 64
20 26

About Jian‐Ting Zhang

Jian‐Ting Zhang is a scholar working on Oncology, Computational Mathematics and Molecular Biology, having authored 187 papers that have together received 6.8k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (49 papers), RNA and protein synthesis mechanisms (24 papers) and Cancer, Lipids, and Metabolism (19 papers). The work is most often cited by research in Oncology (2.2k citations), Cancer Research (1.1k citations) and Molecular Biology (4.5k citations). Jian‐Ting Zhang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Zizheng Dong, Bruce J. Nicholson, Youyun Yang, Hailan Liu, Jing-Yuan Liu, Baoguang Han, Wei Mo, Victor Ling, Roxana Pincheira and Junkang Xu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Biological Chemistry.

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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