Han Li

82 papers receiving 2.9k citations

Peers

Han Li
Comparison fields: 5 of 135
  • Pharmacology 387
  • Parasitology 152
  • Infectious Diseases 341
  • Cell Biology 257
  • Molecular Biology 1000
Replace Luisa De Martino with:
Luisa De Martino Italy
Serena Montagnaro Italy
Yingyu Chen China
Chien‐An Andy Hu United States
Christiane V. Löhr United States
Lu Yu China
Karl E. Burgess United Kingdom
Oleg Krut Germany
Wenting Li China
Srinivasa Reddy Bonam India
Han Li relative to Luisa De Martino Italy Luisa De Martino's profile →
Citations per field
00.5×1.5×
Luisa De Martino · 1×
Citations per year

Countries citing papers authored by Han Li

Since Specialization
Citations

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

Fields of papers citing papers by Han Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Apoptosis primarily accounts for the growth-inhibitory properties of sulindac metabolites and involves a mechanism that is independent of cyclooxygenase inhibition, cell cycle arrest, and p53 induction.
1997325
2
Exisulind induction of apoptosis involves guanosine 3',5'-cyclic monophosphate phosphodiesterase inhibition, protein kinase G activation, and attenuated beta-catenin.
2000281
3 2009271
4 1998141
5 2020141
6 2009108
7 2012106
8 2020100
9 200796
10 202093
11 202086
12 200873
13 201971
14 202158
15 200857
16 201250
17 200849
18 201644
19 200944
20 201541

About Han Li

Han Li is a scholar working on Nutrition and Dietetics, Infectious Diseases, Pharmacology, Health, Toxicology and Mutagenesis and Plant Science, having authored 87 papers that have together received 3.0k indexed citations. Recurring topics across this work include Legume Nitrogen Fixing Symbiosis (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Vector-borne infectious diseases (4 papers), COVID-19 Clinical Research Studies (4 papers), Advanced Chemical Sensor Technologies (4 papers), Toxin Mechanisms and Immunotoxins (4 papers), Trace Elements in Health (4 papers) and Heavy Metal Exposure and Toxicity (4 papers). The work is most often cited by research in Pharmacology (387 citations), Parasitology (152 citations), Infectious Diseases (341 citations), Cell Biology (257 citations) and Molecular Biology (1000 citations). Han Li has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Rifat Pamukcu, Gary Anthony Piazza, Dennis J. Ahnen, David Hughes Walker, Jonathan Lin, David Ron, Peter Walter, Yuhong Zhang, William J. Thompson and Wen Feng Chen. Their work appears in journals such as International Journal of Biological Macromolecules, Molecules, Pharmacognosy Magazine, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and ACS Chemical Biology.

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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