Stephen Hearn
- Aging top 0.5%
- Cancer Research top 1%
- Cancer-related molecular mechanisms research 4
- Physiology top 1%
- Alzheimer's disease research and treatments 6
- Telomeres, Telomerase, and Senescence 3
- Molecular Biology top 1%
- RNA modifications and cancer 7
- RNA Research and Splicing 7
- Genomics and Chromatin Dynamics 4
- Immunology top 2%
-
- Neonatal Respiratory Health Research 10
- Respiratory Support and Mechanisms 3
- Co-authors
- David L. SpectorScott W. LoweMasashi NaritaMasako NaritaGregory J. HannonAthena W. LinÉdith HeardKoichi Iijima
- Cited by
- AgingCancer ResearchPhysiology
- Journals
- Cell (4 papers)Journal of Histochemistry & Cytochemistry (4 papers)Biochemical Journal (3 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Stephen Hearn
62 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Aging 326
- Cancer Research 1.6k
- Physiology 1.8k
- Molecular Biology 4.6k
- Immunology 1.1k
Countries citing papers authored by Stephen Hearn
This map shows the geographic impact of Stephen Hearn'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 Stephen Hearn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Hearn more than expected).
Fields of papers citing papers by Stephen Hearn
This network shows the impact of papers produced by Stephen Hearn. 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 Stephen Hearn. The network helps show where Stephen Hearn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen Hearn, 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 | 2017 | 143 | |
| 2 | 2015 | 60 | |
| 3 | 2013 | 86 | |
| 4 | 2009 | 207 | |
| 5 | 2009 | 18 | |
| 6 | 2008 | 93 | |
| 7 | 2008 | 64 | |
| 8 | 2007 | 110 | |
| 9 | 2006 | 472 | |
| 10 | Regulating Gene Expression through RNA Nuclear Retentionbreakdown → | 2005 | 569 |
| 11 | 1999 | 30 | |
| 12 | 1996 | 50 | |
| 13 | 1996 | 160 | |
| 14 | 1995 | 174 | |
| 15 | 1993 | 10 | |
| 16 | 1993 | 43 | |
| 17 | Proteinaceous lymphadenopathy due to monoclonal nonamyloid immunoglobulin deposit disease. | 1990 | 8 |
| 18 | 1988 | 26 | |
| 19 | 1987 | 14 | |
| 20 | Renal and systemic kappa light chain deposits and their plasma cell origin identified by immunoelectron microscopy. | 1986 | 34 |
About Stephen Hearn
Stephen Hearn is a scholar working on Structural Biology, Aging and Immunology and Allergy, having authored 62 papers that have together received 7.5k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (10 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (7 papers), Alzheimer's disease research and treatments (6 papers), Cancer-related molecular mechanisms research (4 papers), Genomics and Chromatin Dynamics (4 papers), Respiratory Support and Mechanisms (3 papers) and Telomeres, Telomerase, and Senescence (3 papers). The work is most often cited by research in Aging (326 citations), Cancer Research (1.6k citations) and Physiology (1.8k citations). Stephen Hearn has collaborated with scholars based in United States, Canada and France. Frequent co-authors include David L. Spector, Scott W. Lowe, Masashi Narita, Masako Narita, Gregory J. Hannon, Athena W. Lin, Édith Heard, Koichi Iijima, Yi Zhong and Kannanganattu V. Prasanth. Their work appears in journals such as Cell, Journal of Histochemistry & Cytochemistry, Biochemical Journal, American Journal of Physiology-Lung Cellular and Molecular Physiology and PLoS ONE.
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.