Chengjiang Li

669 citations
36 papers · 517 · h-index 14

Impact in

Papers in

Chengjiang Li

36 papers receiving 511 citations

Peers

Chengjiang Li
Comparison fields: 5 of 85
  • Pharmaceutical Science 196
  • Dermatology 57
  • Drug Discovery 1
  • Molecular Medicine 28
  • Endocrinology, Diabetes and Metabolism 65
Replace Dominika Żądło with:
Dominika Żądło Poland
Brian Lu Canada
Sodam Kim South Korea
Zihan Wu China
Hassan Amini Iran
I‐Chan Lin Taiwan
Rajdeep Guha India
Justin K. Y. Hong United States
Melanie Köllmer United States
Dongwon Kim South Korea
Chengjiang Li relative to Dominika Żądło Poland Dominika Żądło's profile →
Citations per field
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Dominika Żądło · 1×
Citations per year

Countries citing papers authored by Chengjiang Li

Since Specialization
Citations

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

Fields of papers citing papers by Chengjiang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018131
2 202149
3 202140
4 202423
5 202120
6 201319
7 201619
8 201617
9 200916
10 201316
11 201615
12 202315
13 202415
14 200913
15 201812
16 201212
17 20179
18 20238
19 20147
20 20197

About Chengjiang Li

Chengjiang Li is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Pharmaceutical Science and Genetics, having authored 36 papers that have together received 517 indexed citations. Recurring topics across this work include Advancements in Transdermal Drug Delivery (6 papers), Advanced Drug Delivery Systems (5 papers), Pancreatic function and diabetes (4 papers), Diabetes Management and Research (3 papers), Diabetes Treatment and Management (3 papers), Cholesterol and Lipid Metabolism (3 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers) and Gestational Diabetes Research and Management (2 papers). The work is most often cited by research in Pharmaceutical Science (196 citations), Dermatology (57 citations), Drug Discovery (1 citation), Molecular Medicine (28 citations) and Endocrinology, Diabetes and Metabolism (65 citations). Chengjiang Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Haojie Yu, Li Wang, Jingyi Feng, Xiang Chen, Di Shen, Fazal Haq, Amin Khan, Rizwan Ullah Khan, Weibin Zhou and Qing Gu. Their work appears in journals such as BMC Endocrine Disorders, ACS Applied Materials & Interfaces, Journal of Zhejiang University SCIENCE B, Scientific Reports and Clinical Endocrinology.

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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