Jinying Chen

2.7k citations
139 papers · 2.1k · h-index 24

Impact in

  • Toxicology top 2%
    • Bioactive Compounds and Antitumor Agents
    • Synthesis and biological activity
    • Synthesis and Biological Evaluation
    • Click Chemistry and Applications
    • Synthesis and Characterization of Heterocyclic Compounds

Papers in

    • Metabolism, Diabetes, and Cancer 6
    • Retinal Development and Disorders 5
    • Synthesis and biological activity 6
    • Synthesis and Biological Evaluation 5

Jinying Chen

133 papers receiving 2.0k citations

Peers

Jinying Chen
Comparison fields: 5 of 168
  • Toxicology 86
  • Organic Chemistry 649
  • Molecular Biology 627
  • Rehabilitation 51
  • Health Informatics 11
Replace Hai Qian with:
Hai Qian China
Ying Zhou China
Xuewei Wang China
Jinghui Wang China
Priyanka Bhatt India
Kaoru Takahashi Japan
Qingjie Zhao China
Andrea Berti Italy
Chao Duan China
Guilherme Fernandes Brazil
Jinying Chen relative to Hai Qian China Hai Qian's profile →
Citations per field
00.5×1.5×
Hai Qian · 1×
Citations per year

Countries citing papers authored by Jinying Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jinying Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014104
2 201195
3 201193
4 201186
5 201884
6 201166
7 200664
8 201764
9 201356
10 201254
11 201252
12 201647
13 201444
14 201842
15 201237
16 201337
17 201937
18 201935
19 201827
20 202025

About Jinying Chen

Jinying Chen is a scholar working on Molecular Biology, Organic Chemistry, Epidemiology, Artificial Intelligence and Toxicology, having authored 139 papers that have together received 2.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Topic Modeling (12 papers), Metabolism, Diabetes, and Cancer (6 papers), Synthesis and biological activity (6 papers), Speech and dialogue systems (6 papers), Retinal Development and Disorders (5 papers), Adipose Tissue and Metabolism (5 papers) and Synthesis and Biological Evaluation (5 papers). The work is most often cited by research in Toxicology (86 citations), Organic Chemistry (649 citations), Molecular Biology (627 citations), Rehabilitation (51 citations) and Health Informatics (11 citations). Jinying Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Martha Stone Palmer, Liang Ma, Aihua Peng, Lijuan Chen, Yuquan Wei, Xiaolin Liang, Guangcheng Wang, Hong Qing Yu, Mingli Xiang and Guei‐Sheung Liu. Their work appears in journals such as European Journal of Medicinal Chemistry, Molecules, Journal of Medicinal Chemistry, Archiv der Pharmazie and Journal of Molecular Diagnostics.

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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