Qin Han

14.5k citations
150 papers · 9.8k indexed · 4 hit papers · h-index 52

Impact in

  • Genetics top 0.2%
    • Mesenchymal stem cell research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Mesenchymal stem cell research 39
    • MicroRNA in disease regulation 24
    • Cancer-related molecular mechanisms research 14

Qin Han

142 papers receiving 9.7k citations

Hit Papers

NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction 2023 · 116 citations
1162005202620122019250500750

Peers

Qin Han
Comparison fields: 5 of 161
  • Genetics 2.6k
  • Cancer Research 2.5k
  • Molecular Biology 5.7k
  • Hepatology 580
  • Rehabilitation 419
Replace Zhongchao Han with:
Zhongchao Han China
Oscar K. Lee Taiwan
Jan A. Nolta United States
Paolo Bianco Italy
Robert Chunhua Zhao China
Danièle Noël France
Marcin Majka Poland
Ruenn Chai Lai Singapore
Lingyun Sun China
Karen K. Hirschi United States
Qin Han relative to Zhongchao Han China Zhongchao Han's profile →
Citations per field
00.5×1.5×1.9×
Zhongchao Han · 1×
Citations per year

Countries citing papers authored by Qin Han

Since Specialization
Citations

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

Fields of papers citing papers by Qin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20252
5 20240
6 20243
7 202321
8 202262
9 20222
10 202119
11 202021
12 201955
13 2018174
14 2014146
15 201350
16 200772
17 200647
18 20059
19 2005110
20 2004391

About Qin Han

Qin Han is a scholar working on Genetics, Cancer Research, Molecular Biology, Hematology and Developmental Neuroscience, having authored 150 papers that have together received 9.8k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (39 papers), MicroRNA in disease regulation (24 papers), Pluripotent Stem Cells Research (15 papers), Cancer-related molecular mechanisms research (14 papers), Extracellular vesicles in disease (14 papers), Circular RNAs in diseases (14 papers), Tissue Engineering and Regenerative Medicine (11 papers) and Cancer Cells and Metastasis (9 papers). The work is most often cited by research in Genetics (2.6k citations), Cancer Research (2.5k citations), Molecular Biology (5.7k citations), Hepatology (580 citations) and Rehabilitation (419 citations). Qin Han has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Robert Chunhua Zhao, Lianming Liao, Robert Chunhua Zhao, Zhao Sun, Shihua Wang, Hongling Li, Xiaolei Liang, Ying Cao, Mingxiao Ding and Hongkui Deng. Their work appears in journals such as Stem Cells and Development, Nature Communications, Cell Death and Disease, Experimental Hematology and Biomedicine & Pharmacotherapy.

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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