Daniel He
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- RNA modifications and cancer
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Congenital heart defects research
- Epigenetics and DNA Methylation
Papers in
-
- RNA Research and Splicing 4
- Genomics and Chromatin Dynamics 3
- RNA modifications and cancer 3
-
- Cancer-related molecular mechanisms research 3
- MicroRNA in disease regulation 2
- Co-authors
- Benoit G. Bruneau (7 shared papers)Daniel A. Lim (3 shared papers)Siyuan Liu (3 shared papers)Frank J. Attenello (2 shared papers)Max A. Horlbeck (2 shared papers)Jonathan S. Weissman (2 shared papers)Katherine S. Pollard (4 shared papers)Bruce R. Conklin (1 shared paper)
- Journals
- Cancer Research (3 papers)Cell (2 papers)Science (2 papers)Development (2 papers)Psychological Assessment (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Daniel He
23 papers receiving 2.0k citations
Daniel He's Hit Papers
Peers
Comparison fields: 5 of 105
- Cancer Research 689
- Molecular Biology 1.6k
- Aging 33
- Genetics 85
- Physiology 188
Countries citing papers authored by Daniel He
This map shows the geographic impact of Daniel 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 Daniel He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel He more than expected).
Fields of papers citing papers by Daniel He
This network shows the impact of papers produced by Daniel 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 Daniel He. The network helps show where Daniel He may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CRISPRi-based genome-scale identification of functional long noncoding RNA loci in human cells Hit paper breakdown → | 2016 | 530 |
| 2 | 2015 | 398 | |
| 3 | 2016 | 253 | |
| 4 | 2015 | 148 | |
| 5 | 2016 | 139 | |
| 6 | 2013 | 110 | |
| 7 | 2013 | 89 | |
| 8 | 2015 | 78 | |
| 9 | 2023 | 52 | |
| 10 | 2018 | 51 | |
| 11 | 2014 | 50 | |
| 12 | 2014 | 38 | |
| 13 | 2019 | 29 | |
| 14 | 2010 | 29 | |
| 15 | 2021 | 25 | |
| 16 | 2018 | 19 | |
| 17 | 2015 | 14 | |
| 18 | 2022 | 6 | |
| 19 | 2019 | 5 | |
| 20 | 2020 | 2 |
About Daniel He
Daniel He is a scholar working on Molecular Biology, Cancer Research, Physiology, Pathology and Forensic Medicine and Neurology, having authored 25 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Genomics and Chromatin Dynamics (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Cancer Research and Treatments (2 papers) and Systemic Sclerosis and Related Diseases (2 papers). The work is most often cited by research in Cancer Research (689 citations), Molecular Biology (1.6k citations), Aging (33 citations), Genetics (85 citations) and Physiology (188 citations). Daniel He has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Benoit G. Bruneau, Daniel A. Lim, Siyuan Liu, Frank J. Attenello, Max A. Horlbeck, Jonathan S. Weissman, Katherine S. Pollard, Bruce R. Conklin, Martina Malatesta and Howard Y. Chang. Their work appears in journals such as Cancer Research, Cell, Science, Development and Psychological Assessment.
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.