Jonathan T. Fleming
Impact in
- Developmental Neuroscience top 2%
- 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
- Genetics 3
- Genetic Syndromes and Imprinting 1
- 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)Jiang Liu (1 shared paper)Vandana K. Grover (1 shared paper)Sudhansu K. Dey (1 shared paper)
- Journals
- Developmental Biology (2 papers)Development (1 paper)Cell Reports (1 paper)Brain Research (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jonathan T. Fleming
12 papers receiving 526 citations
Peers
Comparison fields: 5 of 65
- Developmental Neuroscience 175
- Molecular Biology 369
- Neurology 40
- Cellular and Molecular Neuroscience 87
- Genetics 110
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 | 129 | |
| 2 | 2013 | 78 | |
| 3 | 2014 | 77 | |
| 4 | 2009 | 75 | |
| 5 | 2015 | 39 | |
| 6 | 2016 | 37 | |
| 7 | 2018 | 28 | |
| 8 | 2006 | 24 | |
| 9 | 2012 | 21 | |
| 10 | 2017 | 15 | |
| 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 530 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), Fetal and Pediatric Neurological Disorders (2 papers), Protein Degradation and Inhibitors (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Ubiquitin and proteasome pathways (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Developmental Neuroscience (175 citations), Molecular Biology (369 citations), Neurology (40 citations), Cellular and Molecular Neuroscience (87 citations) and Genetics (110 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, Jiang Liu, Vandana K. Grover, Sudhansu K. Dey, Haibin Wang and Fong Cheng Pan. Their work appears in journals such as Developmental Biology, Development, Cell Reports, Brain Research and Nature Cell 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.