Hua Han

10.2k total citations · 2 hit papers
185 papers, 7.9k citations indexed

About

Hua Han is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Hua Han has authored 185 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Molecular Biology, 48 papers in Immunology and 43 papers in Cancer Research. Recurrent topics in Hua Han's work include Developmental Biology and Gene Regulation (40 papers), MicroRNA in disease regulation (25 papers) and Angiogenesis and VEGF in Cancer (16 papers). Hua Han is often cited by papers focused on Developmental Biology and Gene Regulation (40 papers), MicroRNA in disease regulation (25 papers) and Angiogenesis and VEGF in Cancer (16 papers). Hua Han collaborates with scholars based in China, Japan and United States. Hua Han's co-authors include Tasuku Honjo, Hong‐Yan Qin, Kenji Tanigaki, Norio Yamamoto, Liang Liang, Min Zheng, Kazuki Kuroda, Yingmin Liang, Junlong Zhao and Chun-Chen Gao and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Hua Han

175 papers receiving 7.9k citations

Hit Papers

Inducible gene knockout of transcription factor recombina... 2002 2026 2010 2018 2002 2002 100 200 300 400

Peers

Hua Han
Comparison fields: 5 of 130
  • Molecular Biology 5.0k
  • Immunology 2.0k
  • Cancer Research 1.5k
  • Oncology 1.1k
  • Cell Biology 562
Replace Maria Sibilia with:
Maria Sibilia Austria
David Danielpour United States
Martín E. Fernández-Zapico United States
Hirofumi Hamada Japan
Franklin Peale United States
Parmjit Jat United Kingdom
Nicholas R. Leslie United Kingdom
Naohiro Terada United States
Jeffrey A. Winkles United States
Keiyo Takubo Japan
Maria Sibilia Austria View profile →
Citations per field, relative to Hua Han
Hua Han · 1×
Citations per year, relative to Hua Han
Hua Han · 1×

Countries citing papers authored by Hua Han

Since Specialization
Citations

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

Fields of papers citing papers by Hua Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Han

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Han. A scholar is included among the top collaborators of Hua Han based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hua Han. Hua Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 2
5 0
6 92
7 4
8 18
9 6
10 82
11 100
12 14
13 380
14 58
15 42
16 46
17
Design and Efficacy of a Gene Trap System for Secretory Proteins
1
18 109
19 153
20 61

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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2026