Michael Han
Impact in
- Aging top 10%
-
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Biomedical Text Mining and Ontologies
Papers in
- Genetics 2
- Genomic variations and chromosomal abnormalities 1
- Genetic Syndromes and Imprinting 1
-
- Assisted Reproductive Technology and Twin Pregnancy 1
- Prenatal Screening and Diagnostics 1
- Co-authors
- James S. Sutcliffe (2 shared papers)David H. Ledbetter (1 shared paper)Susan L. Christian (1 shared paper)Yiping Zhan (1 shared paper)Nathan R. Treff (1 shared paper)Xin Tao (1 shared paper)Scott J. Morin (1 shared paper)Richard Thomas Scott (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)The Lancet (1 paper)Human Reproduction (1 paper)BMC Genomics (1 paper)PLoS Biology (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Michael Han
6 papers receiving 750 citations
Peers
Comparison fields: 5 of 66
- Aging 22
- Molecular Biology 434
- Small Animals 33
- Cancer Research 51
- Pediatrics, Perinatology and Child Health 42
Countries citing papers authored by Michael Han
This map shows the geographic impact of Michael 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 Michael Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Han more than expected).
Fields of papers citing papers by Michael Han
This network shows the impact of papers produced by Michael 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 Michael Han. The network helps show where Michael Han may publish in the future.
Co-authors
The 11 scholars most cited alongside Michael Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 298 | |
| 2 | 2004 | 251 | |
| 3 | 2017 | 84 | |
| 4 | 2006 | 76 | |
| 5 | 1997 | 41 | |
| 6 | 2003 | 21 |
About Michael Han
Michael Han is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Molecular Biology, Public Health, Environmental and Occupational Health and Plant Science, having authored 6 papers that have together received 771 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Nematode management and characterization studies (1 paper), Genomic variations and chromosomal abnormalities (1 paper), Genetic Syndromes and Imprinting (1 paper), Reproductive Biology and Fertility (1 paper), Assisted Reproductive Technology and Twin Pregnancy (1 paper) and Prenatal Screening and Diagnostics (1 paper). The work is most often cited by research in Aging (22 citations), Molecular Biology (434 citations), Small Animals (33 citations), Cancer Research (51 citations) and Pediatrics, Perinatology and Child Health (42 citations). Michael Han has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include James S. Sutcliffe, David H. Ledbetter, Susan L. Christian, Yiping Zhan, Nathan R. Treff, Xin Tao, Scott J. Morin, Richard Thomas Scott, Robert A. Kesterson and Taneem Amin. Their work appears in journals such as Nucleic Acids Research, The Lancet, Human Reproduction, BMC Genomics and PLoS Biology.
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.