Han Shen

2.9k citations
82 papers · 1.9k · h-index 24

Impact in

    • Antibiotic Resistance in Bacteria
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing

Papers in

    • Extracellular vesicles in disease 10
    • Advanced biosensing and bioanalysis techniques 5
    • RNA Interference and Gene Delivery 3
    • Antibiotic Resistance in Bacteria 15

Han Shen

78 papers receiving 1.9k citations

Peers

Han Shen
Comparison fields: 5 of 127
  • Molecular Medicine 323
  • Infectious Diseases 482
  • Endocrinology 132
  • Cancer Research 256
  • Applied Microbiology and Biotechnology 23
Replace Xiaoling Ma with:
Xiaoling Ma China
Norelle L. Sherry Australia
Mohammad R. Hasan Qatar
Zhanwei Wang China
Zhiqiang Qin United States
Ching‐Tai Huang Taiwan
Yuan Lu China
Dana Marshall United States
Ni Tien Taiwan
Ju Cao China
Han Shen relative to Xiaoling Ma China Xiaoling Ma's profile →
Citations per field
00.5×1.5×
Xiaoling Ma · 1×
Citations per year

Countries citing papers authored by Han Shen

Since Specialization
Citations

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

Fields of papers citing papers by Han Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019223
2 2020185
3 2020134
4 2021121
5 201786
6 201680
7 202063
8 201456
9 202155
10 202054
11 202054
12 202041
13 202240
14 202238
15 201637
16 201932
17 202130
18 202330
19 201430
20 202027

About Han Shen

Han Shen is a scholar working on Molecular Biology, Molecular Medicine, Infectious Diseases, Epidemiology and Immunology, having authored 82 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (15 papers), Extracellular vesicles in disease (10 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Antimicrobial Resistance in Staphylococcus (5 papers), COVID-19 Clinical Research Studies (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), MicroRNA in disease regulation (5 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Molecular Medicine (323 citations), Infectious Diseases (482 citations), Endocrinology (132 citations), Cancer Research (256 citations) and Applied Microbiology and Biotechnology (23 citations). Han Shen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhiyang Li, Xinyu Tian, Xiaoli Cao, Yuxin Chen, Shengjun Wang, Tingting Wang, Zhifeng Zhang, Wanqing Zhou, Jiawei Yan and Yang Li. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, BMC Infectious Diseases, Scientific Reports, Chinese Chemical Letters and Emerging Microbes & Infections.

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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