John Curfman
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
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- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 2
- Genomics and Chromatin Dynamics 1
- Genomics and Phylogenetic Studies 1
- Protein Degradation and Inhibitors 1
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- Acute Myeloid Leukemia Research 2
- Co-authors
- Karl Obrietan (1 shared paper)Joseph Papp (1 shared paper)Olga Varlamova (1 shared paper)Heather Dziema (1 shared paper)Hitoshi Okamura (1 shared paper)Brandon S Russell (1 shared paper)Kimiko Shimizu (1 shared paper)Hai‐Ying Mary Cheng (1 shared paper)
- Journals
- Blood (2 papers)BMC Genomics (2 papers)Bioinformatics (1 paper)Neuron (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
John Curfman
9 papers receiving 617 citations
John Curfman's Hit Papers
Peers
Comparison fields: 5 of 76
- Aging 68
- Endocrine and Autonomic Systems 211
- Cancer Research 215
- Developmental Neuroscience 33
- Hematology 58
Countries citing papers authored by John Curfman
This map shows the geographic impact of John Curfman'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 John Curfman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Curfman more than expected).
Fields of papers citing papers by John Curfman
This network shows the impact of papers produced by John Curfman. 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 John Curfman. The network helps show where John Curfman may publish in the future.
Co-authors
The 25 scholars most cited alongside John Curfman, 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 | microRNA Modulation of Circadian-Clock Period and Entrainment Hit paper breakdown → | 2007 | 503 |
| 2 | 2010 | 71 | |
| 3 | 2012 | 28 | |
| 4 | 2012 | 11 | |
| 5 | 2014 | 6 | |
| 6 | 2016 | 5 | |
| 7 | 2011 | 5 | |
| 8 | 2011 | 2 | |
| 9 | 2012 | 1 | |
| 10 | Characterization of DNA-protein interactions using high-throughput sequencing data from pulldown experiments | 2016 | 0 |
About John Curfman
John Curfman is a scholar working on Molecular Biology, Hematology, Endocrine and Autonomic Systems, Physiology and Aging, having authored 10 papers that have together received 632 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Acute Myeloid Leukemia Research (2 papers), RNA modifications and cancer (2 papers), Genomics and Chromatin Dynamics (1 paper), Cancer Genomics and Diagnostics (1 paper), Genomics and Phylogenetic Studies (1 paper), Circadian rhythm and melatonin (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Aging (68 citations), Endocrine and Autonomic Systems (211 citations), Cancer Research (215 citations), Developmental Neuroscience (33 citations) and Hematology (58 citations). John Curfman has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Karl Obrietan, Joseph Papp, Olga Varlamova, Heather Dziema, Hitoshi Okamura, Brandon S Russell, Kimiko Shimizu, Hai‐Ying Mary Cheng, Takanobu Nakazawa and Soren Impey. Their work appears in journals such as Blood, BMC Genomics, Bioinformatics, Neuron and Journal of Clinical Oncology.
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.