Han Li

1.7k citations
59 papers · 1.2k · h-index 19

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Immunology top 10%
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • RNA modifications and cancer 3
    • Epigenetics and DNA Methylation 3
    • Immune cells in cancer 5
    • Immune Cell Function and Interaction 4

Han Li

54 papers receiving 1.1k citations

Peers

Han Li
Comparison fields: 5 of 113
  • Cancer Research 227
  • Immunology 262
  • Oncology 299
  • Biophysics 49
  • Molecular Biology 570
Replace Violetta Filas with:
Violetta Filas Poland
Kai Miao China
Birgit Pöppelmann Germany
Jayati Chakrabarti United States
Shuai He China
Remco van Horssen Netherlands
Fuminori Abe Japan
Emanuela Signori Italy
David Ivancic United States
Ahmad Hosseini Iran
Han Li relative to Violetta Filas Poland Violetta Filas's profile →
Citations per field
00.5×1.5×1.9×
Violetta Filas · 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 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020282
2 2017106
3 2017100
4 201636
5 199736
6 201733
7 202033
8 201231
9 201628
10 202128
11 202227
12 201427
13 201427
14 201926
15 202226
16 202025
17 202123
18 202023
19 200519
20 202118

About Han Li

Han Li is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Epidemiology, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer Cells and Metastasis (4 papers), Immune Cell Function and Interaction (4 papers), Brucella: diagnosis, epidemiology, treatment (4 papers), RNA modifications and cancer (3 papers), Bacteriophages and microbial interactions (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (227 citations), Immunology (262 citations), Oncology (299 citations), Biophysics (49 citations) and Molecular Biology (570 citations). Han Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lisong Shen, Shumei Han, Yingxia Zheng, Guohua Xie, Junyan Liu, Bingqian Zhou, Zheyi Chen, Yanhui Ma, Shiyu Chen and Junyao Yang. Their work appears in journals such as Placenta, Oncology Reports, International Journal of Nanomedicine, PLANT PHYSIOLOGY and Journal of Leukocyte 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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