I‐Li Chen

1.4k citations
67 papers · 1.2k indexed · h-index 21

Impact in

Papers in

I‐Li Chen

67 papers receiving 1.2k citations

Peers

I‐Li Chen
Comparison fields: 5 of 109
  • Toxicology 80
  • Endocrine and Autonomic Systems 137
  • Organic Chemistry 375
  • Neurology 97
  • Cellular and Molecular Neuroscience 131
Replace Snehajyoti Chatterjee with:
Snehajyoti Chatterjee India
Dilip K. Tosh United States
Adil J. Nazarali Canada
Mohammed A. Kashem United States
F. Gualtieri Italy
Zhuang Miao China
Samuel J. Strada United States
Ying Yin China
Frédéric Bihel France
Jae‐Hoon Jeong South Korea
I‐Li Chen relative to Snehajyoti Chatterjee India Snehajyoti Chatterjee's profile →
Citations per field
00.5×5.5×
Snehajyoti Chatterjee · 1×
Citations per year

Countries citing papers authored by I‐Li Chen

Since Specialization
Citations

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

Fields of papers citing papers by I‐Li Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201517
2 20159
3 201317
4 20136
5 201212
6 200818
7 200521
8 200537
9 200514
10 200519
11 200444
12 20038
13 200368
14 200338
15 20011
16 20003
17 199414
18 19946
19
Ultrastructure of the excretory system of Anisakis larva (Nematoda: Anisakidae).
197317
20 19717

About I‐Li Chen

I‐Li Chen is a scholar working on Toxicology, Endocrine and Autonomic Systems, Organic Chemistry, Pharmacology and Aging, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Synthesis and biological activity (10 papers), Synthesis and Biological Evaluation (10 papers), Synthesis of Organic Compounds (9 papers), Cancer therapeutics and mechanisms (7 papers), Bioactive Compounds and Antitumor Agents (6 papers), Multicomponent Synthesis of Heterocycles (5 papers), Neuroscience of respiration and sleep (5 papers) and Electrocatalysts for Energy Conversion (4 papers). The work is most often cited by research in Toxicology (80 citations), Endocrine and Autonomic Systems (137 citations), Organic Chemistry (375 citations), Neurology (97 citations) and Cellular and Molecular Neuroscience (131 citations). I‐Li Chen has collaborated with scholars based in Taiwan, United States and Türkiye. Frequent co-authors include Robert D. Yates, Yeh‐Long Chen, Cherng‐Chyi Tzeng, Tai‐Chi Wang, Chih‐Ming Lu, Jih-Pyang Wang, Lo‐Ti Tsao, Craig A. Knox, Daih‐Huang Kuo and Peter M. Klara. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Cell and Tissue Research, Helvetica Chimica Acta, The Journal of Cell Biology and Chemistry & Biodiversity.

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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