Junting Zhou

658 citations
17 papers · 517 · h-index 9

Impact in

Papers in

Junting Zhou

16 papers receiving 514 citations

Peers

Junting Zhou
Comparison fields: 5 of 99
  • Pharmacology 207
  • Computational Theory and Mathematics 143
  • Organic Chemistry 120
  • Applied Microbiology and Biotechnology 8
  • Molecular Biology 240
Replace Alessandra Feoli with:
Alessandra Feoli Italy
Xiaoming Zha China
Jinhong Feng China
Xian-Zhong Ding United States
Jianfei Sheng China
Alfons Nonell‐Canals Spain
Weiwei Liu China
Mathilde Bayet‐Robert France
Hamsa Thayele Purayil India
Pratibha Mehta Luthra India
Junting Zhou relative to Alessandra Feoli Italy Alessandra Feoli's profile →
Citations per field
00.5×1.5×1.9×
Alessandra Feoli · 1×
Citations per year

Countries citing papers authored by Junting Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Junting Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2019217
2 201888
3 202048
4 201842
5 202030
6 201825
7 202413
8 201912
9 202311
10 20238
11 20236
12 20255
13 20185
14 20253
15 20252
16 20242
17 20250

About Junting Zhou

Junting Zhou is a scholar working on Economics and Econometrics, Molecular Biology, Pharmacology, Transportation and Organic Chemistry, having authored 17 papers that have together received 517 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Urban Transport and Accessibility (3 papers), Regional Economics and Spatial Analysis (2 papers), Energy, Environment, Economic Growth (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Spatial and Panel Data Analysis (2 papers), Protein Degradation and Inhibitors (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Pharmacology (207 citations), Computational Theory and Mathematics (143 citations), Organic Chemistry (120 citations), Applied Microbiology and Biotechnology (8 citations) and Molecular Biology (240 citations). Junting Zhou has collaborated with scholars based in China, Bangladesh and Hong Kong. Frequent co-authors include Feng Feng, Haopeng Sun, Xueyang Jiang, Wei Qu, Siyu He, Wenyuan Liu, Hongli Jiang, Yao Chen, Tingkai Chen and Hongyu Yang. Their work appears in journals such as European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, International Review of Economics & Finance, Energy Economics and ACS Medicinal Chemistry Letters.

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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