Min Han

14.7k citations
152 papers · 11.6k indexed · 1 hit paper · h-index 56

Impact in

Papers in

Min Han

151 papers receiving 11.4k citations

Hit Papers

Efficient Transposition of the piggyBac (PB) Transposon in Mammalian Cells and Mice 2005 · 747 citations
7472005202620122019200400600

Peers

Min Han
Comparison fields: 5 of 130
  • Aging 3.2k
  • Endocrine and Autonomic Systems 1.0k
  • Molecular Biology 8.8k
  • Cell Biology 1.9k
  • Cancer Research 792
Replace T. Keith Blackwell with:
T. Keith Blackwell United States
Sally J. Leevers United Kingdom
Dirk Bohmann United States
Heinrich Jasper United States
Ronald Ellis United States
Sergio Moreno Spain
Hugo Stocker Switzerland
Shohei Mitani Japan
Han‐Woong Lee South Korea
Thomas P. Neufeld United States
Min Han relative to T. Keith Blackwell United States T. Keith Blackwell's profile →
Citations per field
00.5×1.7×
T. Keith Blackwell · 1×
Citations per year

Countries citing papers authored by Min Han

Since Specialization
Citations

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

Fields of papers citing papers by Min Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 2018104
4 20173
5 201630
6 201536
7 200943
8 2009195
9 200989
10 200924
11 200818
12 2007217
13 200559
14 200528
15 200343
16 2002332
17 200225
18 200152
19 199921
20 199745

About Min Han

Min Han is a scholar working on Aging, Endocrine and Autonomic Systems, Molecular Biology, Biochemistry and Cancer Research, having authored 152 papers that have together received 11.6k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (79 papers), Circadian rhythm and melatonin (24 papers), RNA Research and Splicing (18 papers), Nuclear Structure and Function (16 papers), Reproductive Biology and Fertility (15 papers), CRISPR and Genetic Engineering (14 papers), MicroRNA in disease regulation (12 papers) and Genomics and Chromatin Dynamics (11 papers). The work is most often cited by research in Aging (3.2k citations), Endocrine and Autonomic Systems (1.0k citations), Molecular Biology (8.8k citations), Cell Biology (1.9k citations) and Cancer Research (792 citations). Min Han has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Tian Xu, Yuan Zhuang, Daniel A. Starr, Paul W. Sternberg, Michael Grunstein, Xiaohui Wu, Rener Xu, Marina Kniazeva, Mingxue Cui and Kun‐Liang Guan. Their work appears in journals such as Development, Cell, Genes & Development, Developmental Cell and Genetics.

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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