Stephen Pederson
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
-
- RNA modifications and cancer 3
- Genetics 9
- Diabetes and associated disorders 4
- Co-authors
- Simon C. Barry (9 shared papers)Thu‐Hien To (2 shared papers)Timothy Sadlon (9 shared papers)Cheryl Y. Brown (7 shared papers)Christopher M. Ward (1 shared paper)Michael Lardelli (9 shared papers)Morgan Newman (8 shared papers)Gerald J. Atkins (2 shared papers)
- Journals
- Scientific Reports (3 papers)PLoS ONE (2 papers)Epigenetics & Chromatin (2 papers)Behavioural Brain Research (2 papers)Journal of Alzheimer s Disease (2 papers)
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Stephen Pederson
46 papers receiving 972 citations
Peers
Comparison fields: 5 of 116
- Immunology 195
- Biological Psychiatry 18
- Cancer Research 106
- Behavioral Neuroscience 23
- Developmental Neuroscience 25
Countries citing papers authored by Stephen Pederson
This map shows the geographic impact of Stephen Pederson'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 Pederson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Pederson more than expected).
Fields of papers citing papers by Stephen Pederson
This network shows the impact of papers produced by Stephen Pederson. 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 Pederson. The network helps show where Stephen Pederson may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Pederson, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 135 | |
| 2 | 2010 | 117 | |
| 3 | 2011 | 82 | |
| 4 | 2019 | 65 | |
| 5 | 2021 | 42 | |
| 6 | 2018 | 40 | |
| 7 | 2019 | 34 | |
| 8 | 2017 | 31 | |
| 9 | 2020 | 29 | |
| 10 | 2020 | 27 | |
| 11 | 2020 | 22 | |
| 12 | 2020 | 22 | |
| 13 | 2018 | 21 | |
| 14 | 2019 | 21 | |
| 15 | 2019 | 21 | |
| 16 | 2018 | 21 | |
| 17 | 2019 | 19 | |
| 18 | 2018 | 19 | |
| 19 | 2019 | 17 | |
| 20 | 2018 | 17 |
About Stephen Pederson
Stephen Pederson is a scholar working on Molecular Biology, Genetics, Immunology, Cancer Research and Plant Science, having authored 46 papers that have together received 981 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), Diabetes and associated disorders (4 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (3 papers), Alzheimer's disease research and treatments (3 papers), RNA modifications and cancer (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Immunology (195 citations), Biological Psychiatry (18 citations), Cancer Research (106 citations), Behavioral Neuroscience (23 citations) and Developmental Neuroscience (25 citations). Stephen Pederson has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Simon C. Barry, Thu‐Hien To, Timothy Sadlon, Cheryl Y. Brown, Christopher M. Ward, Michael Lardelli, Morgan Newman, Gerald J. Atkins, Stephen P. Kidd and Gregory J. Goodall. Their work appears in journals such as Scientific Reports, PLoS ONE, Epigenetics & Chromatin, Behavioural Brain Research and Journal of Alzheimer s Disease.
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.