Jonathan M. Howard
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Cancer-related gene regulation
- RNA regulation and disease
Papers in
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- RNA modifications and cancer 9
- RNA Research and Splicing 8
- RNA and protein synthesis mechanisms 5
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- Cancer-related molecular mechanisms research 4
- Co-authors
- Jeremy R. Sanford (7 shared papers)Timothy Sterne-Weiler (4 shared papers)D.N. Cooper (1 shared paper)Matthew Mort (1 shared paper)Sol Katzman (5 shared papers)Masoud Toloue (4 shared papers)Jayanth Kumar Palanichamy (1 shared paper)Giuseppe Basso (1 shared paper)
- Journals
- Genome Research (4 papers)Journal of Clinical Investigation (1 paper)Advanced Science (1 paper)Cell Reports (1 paper)Wiley Interdisciplinary Reviews - RNA (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Jonathan M. Howard
8 papers receiving 681 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 165
- Molecular Biology 578
- Genetics 24
- Aging 4
- Hematology 21
Countries citing papers authored by Jonathan M. Howard
This map shows the geographic impact of Jonathan M. Howard'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 M. Howard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Howard more than expected).
Fields of papers citing papers by Jonathan M. Howard
This network shows the impact of papers produced by Jonathan M. Howard. 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 M. Howard. The network helps show where Jonathan M. Howard may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan M. Howard, 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 | 2014 | 185 | |
| 2 | 2011 | 136 | |
| 3 | 2016 | 131 | |
| 4 | 2013 | 79 | |
| 5 | 2016 | 64 | |
| 6 | 2022 | 36 | |
| 7 | 2018 | 26 | |
| 8 | 2019 | 26 | |
| 9 | HNRNPA1 promotes recognition of splice site decoys by U2AF2 in vivo | 2018 | 0 |
About Jonathan M. Howard
Jonathan M. Howard is a scholar working on Molecular Biology, Cancer Research, Hematology, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 683 indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (5 papers), Cancer-related molecular mechanisms research (4 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Cancer Research (165 citations), Molecular Biology (578 citations), Genetics (24 citations), Aging (4 citations) and Hematology (21 citations). Jonathan M. Howard has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Jeremy R. Sanford, Timothy Sterne-Weiler, D.N. Cooper, Matthew Mort, Sol Katzman, Masoud Toloue, Jayanth Kumar Palanichamy, Giuseppe Basso, Thilini R. Fernando and Nader Pourmand. Their work appears in journals such as Genome Research, Journal of Clinical Investigation, Advanced Science, Cell Reports and Wiley Interdisciplinary Reviews - RNA.
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.