Xiaobo Han

1.5k citations
52 papers · 1.1k · h-index 18

Impact in

    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • CRISPR and Genetic Engineering
    • Advanced biosensing and bioanalysis techniques

Papers in

Xiaobo Han

50 papers receiving 1.1k citations

Peers

Xiaobo Han
Comparison fields: 5 of 106
  • Cancer Research 82
  • Molecular Biology 369
  • Sensory Systems 25
  • Biomedical Engineering 210
  • Pathology and Forensic Medicine 72
Replace Kaili Mao with:
Kaili Mao China
Wen Yin China
Youlang Zhou China
Jungil Choi South Korea
Birgit Lohberger Austria
Chih-Hung Chang Taiwan
Lijun Shang United Kingdom
Xiaoyang Li China
Makio Saeki Japan
Euphemie Landao‐Bassonga Australia
Xiaobo Han relative to Kaili Mao China Kaili Mao's profile →
Citations per field
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Kaili Mao · 1×
Citations per year

Countries citing papers authored by Xiaobo Han

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201794
2 201789
3 201786
4 201670
5 202065
6 201065
7 201463
8 202259
9 201459
10 202047
11 202136
12 201432
13 201927
14 202324
15 202019
16 201519
17 202018
18 201918
19 202515
20 201815

About Xiaobo Han

Xiaobo Han is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering, Genetics and Electrical and Electronic Engineering, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), CRISPR and Genetic Engineering (6 papers), Genetics and Neurodevelopmental Disorders (5 papers), Neuroscience and Neural Engineering (4 papers), Autophagy in Disease and Therapy (4 papers), Cancer Treatment and Pharmacology (4 papers), Ion Channels and Receptors (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Cancer Research (82 citations), Molecular Biology (369 citations), Sensory Systems (25 citations), Biomedical Engineering (210 citations) and Pathology and Forensic Medicine (72 citations). Xiaobo Han has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yueqing Jiang, Liming Yang, Jiayuan Kou, Ye Tian, Zhaoyu Zhong, Yinghong Zheng, Zhiyuan Li, Rongqi Huang, Zhongni Liu and Masaaki Sato. Their work appears in journals such as Stem Cell Research, Cell Death and Disease, Toxics, International Orthopaedics and Stem Cell Research & Therapy.

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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