Dansha He
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Genetics and Neurodevelopmental Disorders
Papers in
-
- Mitochondrial Function and Pathology 2
- Machine Learning in Bioinformatics 1
-
- Genetic Neurodegenerative Diseases 3
- Co-authors
- Tingting Huang (3 shared papers)John W. Kuluz (6 shared papers)Gary Kleiner (1 shared paper)W. Dalton Dietrich (5 shared papers)Juan P. Solano (3 shared papers)Ricardo Prado (1 shared paper)Weizhao Zhao (1 shared paper)Brant D. Watson (1 shared paper)
- Journals
- Journal of Neurotrauma (2 papers)Alzheimer s & Dementia (1 paper)Journal of Huntington s Disease (1 paper)Genes Brain & Behavior (1 paper)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)
- Partner nations
- United StatesSwitzerlandIsrael
In The Last Decade
Dansha He
13 papers receiving 395 citations
Peers
Comparison fields: 5 of 78
- Genetics 82
- Developmental Neuroscience 29
- Cellular and Molecular Neuroscience 96
- Neurology 42
- Neurology 71
Countries citing papers authored by Dansha He
This map shows the geographic impact of Dansha He'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 Dansha He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dansha He more than expected).
Fields of papers citing papers by Dansha He
This network shows the impact of papers produced by Dansha He. 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 Dansha He. The network helps show where Dansha He may publish in the future.
Co-authors
The 25 scholars most cited alongside Dansha He, 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 | 2007 | 98 | |
| 2 | 2015 | 70 | |
| 3 | 2009 | 54 | |
| 4 | 2007 | 42 | |
| 5 | 2010 | 40 | |
| 6 | 2016 | 27 | |
| 7 | 2001 | 23 | |
| 8 | 2014 | 14 | |
| 9 | 2010 | 14 | |
| 10 | 2020 | 8 | |
| 11 | 2009 | 3 | |
| 12 | 2014 | 3 | |
| 13 | 2018 | 1 |
About Dansha He
Dansha He is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Physiology and Pathology and Forensic Medicine, having authored 13 papers that have together received 397 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (3 papers), Autism Spectrum Disorder Research (2 papers), Spinal Cord Injury Research (2 papers), Cardiac Arrest and Resuscitation (2 papers), Mitochondrial Function and Pathology (2 papers), Machine Learning in Bioinformatics (1 paper), Cell Image Analysis Techniques (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Genetics (82 citations), Developmental Neuroscience (29 citations), Cellular and Molecular Neuroscience (96 citations), Neurology (42 citations) and Neurology (71 citations). Dansha He has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Tingting Huang, John W. Kuluz, Gary Kleiner, W. Dalton Dietrich, Juan P. Solano, Ricardo Prado, Weizhao Zhao, Brant D. Watson, Kimberly H. Cox and Daniela Brunner. Their work appears in journals such as Journal of Neurotrauma, Alzheimer s & Dementia, Journal of Huntington s Disease, Genes Brain & Behavior and American Journal of Physiology-Heart and Circulatory Physiology.
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.