Jason E. Long
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
- Sensory Systems top 5%
Papers in
-
- Developmental Biology and Gene Regulation 4
- RNA modifications and cancer 2
-
- Prostate Cancer Treatment and Research 3
- Lung Cancer Treatments and Mutations 2
- Co-authors
- John L.R. Rubenstein (7 shared papers)Timothy P. Fleming (2 shared papers)Alessandra Eva (2 shared papers)Cheryl L. Smith (1 shared paper)Juanito J. Meneses (1 shared paper)Michael J. Depew (1 shared paper)Roger A. Pedersen (1 shared paper)R. Presley (1 shared paper)
- Journals
- Cancer Research (4 papers)Clinical Cancer Research (2 papers)Genomics (2 papers)Nature (2 papers)iScience (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Jason E. Long
26 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 105
- Developmental Neuroscience 308
- Sensory Systems 103
- Molecular Biology 946
- Cellular and Molecular Neuroscience 209
- Cell Biology 184
Countries citing papers authored by Jason E. Long
This map shows the geographic impact of Jason E. Long'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 Jason E. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason E. Long more than expected).
Fields of papers citing papers by Jason E. Long
This network shows the impact of papers produced by Jason E. Long. 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 Jason E. Long. The network helps show where Jason E. Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason E. Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 291 | |
| 2 | 1993 | 246 | |
| 3 | 2007 | 205 | |
| 4 | 2011 | 115 | |
| 5 | 2008 | 111 | |
| 6 | 2018 | 102 | |
| 7 | 1996 | 73 | |
| 8 | 2012 | 57 | |
| 9 | 2017 | 39 | |
| 10 | 2009 | 37 | |
| 11 | 2015 | 34 | |
| 12 | 2006 | 26 | |
| 13 | 2019 | 24 | |
| 14 | 2022 | 18 | |
| 15 | 1995 | 17 | |
| 16 | 2020 | 15 | |
| 17 | 2020 | 12 | |
| 18 | 2015 | 11 | |
| 19 | 2024 | 5 | |
| 20 | 2021 | 5 |
About Jason E. Long
Jason E. Long is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Developmental Neuroscience, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (4 papers), Developmental Biology and Gene Regulation (4 papers), Prostate Cancer Treatment and Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), interferon and immune responses (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Lung Cancer Treatments and Mutations (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Developmental Neuroscience (308 citations), Sensory Systems (103 citations), Molecular Biology (946 citations), Cellular and Molecular Neuroscience (209 citations) and Cell Biology (184 citations). Jason E. Long has collaborated with scholars based in United States, Canada and France. Frequent co-authors include John L.R. Rubenstein, Timothy P. Fleming, Alessandra Eva, Cheryl L. Smith, Juanito J. Meneses, Michael J. Depew, Roger A. Pedersen, R. Presley, Kenta Obata and Yojiro Yanagawa. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Genomics, Nature and iScience.
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.