Hanlin Li

427 citations
23 papers · 281 · h-index 9

Impact in

Papers in

Hanlin Li

23 papers receiving 270 citations

Peers

Hanlin Li
Comparison fields: 5 of 85
  • Pharmaceutical Science 47
  • Analytical Chemistry 44
  • Spectroscopy 71
  • Molecular Biology 123
  • Cancer Research 20
Replace Christopher J. Kochansky with:
Christopher J. Kochansky United States
Yoon‐Jee Chae South Korea
Girish Bende India
Rajendra Narayan Dash India
Asmaa A. Mandour Egypt
Caroline A. Larregieu United States
Eike Albers Germany
Xunxun Wu China
Yusuke Kamiya Japan
Zhongqing Wang China
Hanlin Li relative to Christopher J. Kochansky United States Christopher J. Kochansky's profile →
Citations per field
00.5×
Christopher J. Kochansky · 1×
Citations per year

Countries citing papers authored by Hanlin Li

Since Specialization
Citations

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

Fields of papers citing papers by Hanlin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201166
2 201928
3 202226
4 202120
5 200518
6 201617
7 202015
8 202215
9 202213
10 20238
11 20247
12 20227
13 20226
14 20256
15 20236
16 20246
17 20233
18 20223
19 20223
20 20213

About Hanlin Li

Hanlin Li is a scholar working on Molecular Biology, Materials Chemistry, Pharmaceutical Science, Biomaterials and Complementary and alternative medicine, having authored 23 papers that have together received 281 indexed citations. Recurring topics across this work include Crystallization and Solubility Studies (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Drug Solubulity and Delivery Systems (3 papers), Protease and Inhibitor Mechanisms (3 papers), RNA Interference and Gene Delivery (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Computational Drug Discovery Methods (2 papers) and Chromatography in Natural Products (2 papers). The work is most often cited by research in Pharmaceutical Science (47 citations), Analytical Chemistry (44 citations), Spectroscopy (71 citations), Molecular Biology (123 citations) and Cancer Research (20 citations). Hanlin Li has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Qin Li, Pat Sandra, Guowang Xu, Frédéric Lynen, Jian Wang, Gregory W. Sluggett, Cai Yuan, Longguang Jiang, Christopher M. Riley and Mingdong Huang. Their work appears in journals such as International Journal of Biological Macromolecules, The AAPS Journal, Journal of Pharmaceutical and Biomedical Analysis, Journal of Separation Science and Nature Communications.

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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