Jonathan T. Fleming
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
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- Hedgehog Signaling Pathway Studies
- Epigenetics and DNA Methylation
- Developmental Biology and Gene Regulation
- Congenital heart defects research
Papers in
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- Hedgehog Signaling Pathway Studies 7
- Epigenetics and DNA Methylation 5
- Protein Degradation and Inhibitors 2
- Ubiquitin and proteasome pathways 1
- Signaling Pathways in Disease 1
- Genetics 3
- Co-authors
- Chin Chiang (11 shared papers)Ying Litingtung (4 shared papers)Tatiana Ketova (3 shared papers)Xi Huang (2 shared papers)Michael K. Cooper (2 shared papers)Vandana K. Grover (1 shared paper)Jiang Liu (1 shared paper)Chuan‐Ming Hao (1 shared paper)
- Journals
- Developmental Biology (2 papers)Molecular Cancer Research (1 paper)Nature Cell Biology (1 paper)Journal of Neuroscience (1 paper)Brain Research (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jonathan T. Fleming
12 papers receiving 483 citations
Peers
Comparison fields: 5 of 65
- Developmental Neuroscience 153
- Molecular Biology 351
- Neurology 38
- Cellular and Molecular Neuroscience 78
- Genetics 103
Countries citing papers authored by Jonathan T. Fleming
This map shows the geographic impact of Jonathan T. Fleming'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 Jonathan T. Fleming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan T. Fleming more than expected).
Fields of papers citing papers by Jonathan T. Fleming
This network shows the impact of papers produced by Jonathan T. Fleming. 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 Jonathan T. Fleming. The network helps show where Jonathan T. Fleming may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan T. Fleming, 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 | 2010 | 114 | |
| 2 | 2014 | 75 | |
| 3 | 2013 | 68 | |
| 4 | 2009 | 64 | |
| 5 | 2015 | 37 | |
| 6 | 2016 | 36 | |
| 7 | 2018 | 25 | |
| 8 | 2006 | 23 | |
| 9 | 2012 | 21 | |
| 10 | 2017 | 13 | |
| 11 | 2019 | 5 | |
| 12 | 2022 | 2 |
About Jonathan T. Fleming
Jonathan T. Fleming is a scholar working on Molecular Biology, Genetics, Developmental Neuroscience, Pediatrics, Perinatology and Child Health and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 483 indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (7 papers), Epigenetics and DNA Methylation (5 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Protein Degradation and Inhibitors (2 papers), Fetal and Pediatric Neurological Disorders (2 papers), Ubiquitin and proteasome pathways (1 paper), Signaling Pathways in Disease (1 paper) and Bone health and treatments (1 paper). The work is most often cited by research in Developmental Neuroscience (153 citations), Molecular Biology (351 citations), Neurology (38 citations), Cellular and Molecular Neuroscience (78 citations) and Genetics (103 citations). Jonathan T. Fleming has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Chin Chiang, Ying Litingtung, Tatiana Ketova, Xi Huang, Michael K. Cooper, Vandana K. Grover, Jiang Liu, Chuan‐Ming Hao, Sudhansu K. Dey and Haibin Wang. Their work appears in journals such as Developmental Biology, Molecular Cancer Research, Nature Cell Biology, Journal of Neuroscience and Brain Research.
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.