Han Li

115 papers receiving 7.6k citations

Han Li's Hit Papers

Regulated Ire1-dependent decay of messenger RNAs in mammalian cells 2009 · 780 citations
7800+8+16Years since publication2505007501000

Peers

Han Li
Comparison fields: 5 of 139
  • Cell Biology 1.7k
  • Orthopedics and Sports Medicine 685
  • Aging 148
  • Molecular Biology 4.0k
  • Genetics 1.2k
Replace Maria Almeida with:
Maria Almeida United States
Shoshana Yakar United States
Hiroaki Kodama Japan
Yanyan Han China
Jun Kanno Japan
R. John Mayer United Kingdom
Lai Wang United States
Sen Li China
Carmen J. Williams United States
Barry S. Komm United States
Han Li relative to Maria Almeida United States Maria Almeida's profile →
Citations per field
00.5×4.6×
Maria Almeida · 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 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1
IRE1 Signaling Affects Cell Fate During the Unfolded Protein Response
Hit paper breakdown →
20071150
2
Nongenotropic, Sex-Nonspecific Signaling through the Estrogen or Androgen Receptors
Hit paper breakdown →
2001933
3
Regulated Ire1-dependent decay of messenger RNAs in mammalian cells
Hit paper breakdown →
2009780
4 2007459
5 2005346
6 2010244
7 2011236
8 2009228
9 2014217
10 2010211
11 2003209
12 2013194
13 2003191
14 2010120
15 2011108
16 201691
17 200680
18 201278
19 201876
20 201971

About Han Li

Han Li is a scholar working on Molecular Biology, Plant Science, Genetics, Insect Science and Soil Science, having authored 123 papers that have together received 7.7k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (14 papers), Soil Carbon and Nitrogen Dynamics (13 papers), Insect and Pesticide Research (9 papers), Plant Molecular Biology Research (7 papers), Estrogen and related hormone effects (7 papers), Plant Stress Responses and Tolerance (7 papers), Cytokine Signaling Pathways and Interactions (6 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Cell Biology (1.7k citations), Orthopedics and Sports Medicine (685 citations), Aging (148 citations), Molecular Biology (4.0k citations) and Genetics (1.2k citations). Han Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Maria Almeida, Stavros C. Manolagas, Charles A. O’Brien, Peter Walter, Jonathan H. Lin, Stavroula Kousteni, Teresita Bellido, Robert S. Weinstein, Elena Ambrogini and Robert L. Jilka. Their work appears in journals such as Journal of Biological Chemistry, Animal Reproduction Science, Journal of Clinical Investigation, Molecular Endocrinology and Archives of Insect Biochemistry and Physiology.

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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