Kyle Niessen
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Congenital heart defects research
- Developmental Biology and Gene Regulation
- Angiogenesis and VEGF in Cancer
- Epigenetics and DNA Methylation
- TGF-β signaling in diseases
Papers in
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- MicroRNA in disease regulation 2
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- Congenital heart defects research 9
- Developmental Biology and Gene Regulation 5
- Angiogenesis and VEGF in Cancer 3
- Cancer-related gene regulation 3
- Co-authors
- Aly KarsanLinda ChangYang‐Xin FuIngrid L. PolletPamela A. HoodlessKevin G. LeongConnie J. EavesAfshin Raouf
- Journals
- Circulation Research (4 papers)The Journal of Cell Biology (2 papers)Journal of Biological Chemistry (2 papers)Blood (2 papers)The Journal of Immunology (1 paper)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Kyle Niessen
17 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 91
- Cancer Research 365
- Molecular Biology 1.5k
- Oncology 541
- Pulmonary and Respiratory Medicine 292
- Cardiology and Cardiovascular Medicine 203
Countries citing papers authored by Kyle Niessen
This map shows the geographic impact of Kyle Niessen'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 Kyle Niessen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Niessen more than expected).
Fields of papers citing papers by Kyle Niessen
This network shows the impact of papers produced by Kyle Niessen. 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 Kyle Niessen. The network helps show where Kyle Niessen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle Niessen, 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 | 2013 | 100 | |
| 2 | 2013 | 5 | |
| 3 | 2011 | 134 | |
| 4 | 2011 | 37 | |
| 5 | 2011 | 77 | |
| 6 | 2009 | 95 | |
| 7 | 2009 | 11 | |
| 8 | 2009 | 74 | |
| 9 | 2008 | 200 | |
| 10 | 2008 | 272 | |
| 11 | 2007 | 389 | |
| 12 | 2007 | 60 | |
| 13 | 2007 | 16 | |
| 14 | 2006 | 152 | |
| 15 | 2005 | 57 | |
| 16 | 2005 | 32 | |
| 17 | 2004 | 244 |
About Kyle Niessen
Kyle Niessen is a scholar working on Cancer Research, Molecular Biology, Neurology, Cell Biology and Physiology, having authored 17 papers that have together received 2.0k indexed citations. Recurring topics across this work include Congenital heart defects research (9 papers), Developmental Biology and Gene Regulation (5 papers), Angiogenesis and VEGF in Cancer (3 papers), Cancer-related gene regulation (3 papers), Sympathectomy and Hyperhidrosis Treatments (2 papers), MicroRNA in disease regulation (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Congenital Heart Disease Studies (2 papers). The work is most often cited by research in Cancer Research (365 citations), Molecular Biology (1.5k citations), Oncology (541 citations), Pulmonary and Respiratory Medicine (292 citations) and Cardiology and Cardiovascular Medicine (203 citations). Kyle Niessen has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Aly Karsan, Linda Chang, Yang‐Xin Fu, Ingrid L. Pollet, Pamela A. Hoodless, Kevin G. Leong, Connie J. Eaves, Afshin Raouf, Iva Kulić and Michela Noseda. Their work appears in journals such as Circulation Research, The Journal of Cell Biology, Journal of Biological Chemistry, Blood and The Journal of Immunology.
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.