Jeff O’Sullivan
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Biochemistry top 5%
- Biochemical Acid Research Studies
Papers in
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- Microbial metabolism and enzyme function 14
- Porphyrin Metabolism and Disorders 7
- Biochemistry 11
- Biochemical Acid Research Studies 8
- Co-authors
- Keith F. Tipton (13 shared papers)Kieran Brennan (1 shared paper)Ciarán Richardson (1 shared paper)S. P. Fitzgerald (1 shared paper)Alfonso Blanco (1 shared paper)Yunjie Wu (1 shared paper)Katrin Martin (1 shared paper)Margaret M. Mc Gee (1 shared paper)
In The Last Decade
Jeff O’Sullivan
44 papers receiving 1.6k citations
Jeff O’Sullivan's Hit Papers
Peers
Comparison fields: 5 of 124
- Cancer Research 365
- Biochemistry 135
- Molecular Biology 1.1k
- Biophysics 76
- Periodontics 54
Countries citing papers authored by Jeff O’Sullivan
This map shows the geographic impact of Jeff O’Sullivan'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 Jeff O’Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff O’Sullivan more than expected).
Fields of papers citing papers by Jeff O’Sullivan
This network shows the impact of papers produced by Jeff O’Sullivan. 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 Jeff O’Sullivan. The network helps show where Jeff O’Sullivan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff O’Sullivan, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A comparison of methods for the isolation and separation of extracellular vesicles from protein and lipid particles in human serum Hit paper breakdown → | 2020 | 681 |
| 2 | 2004 | 168 | |
| 3 | 2003 | 153 | |
| 4 | 2016 | 103 | |
| 5 | 2020 | 51 | |
| 6 | 2015 | 51 | |
| 7 | 2021 | 35 | |
| 8 | 2020 | 35 | |
| 9 | 1970 | 26 | |
| 10 | 2011 | 22 | |
| 11 | 2017 | 21 | |
| 12 | 1971 | 21 | |
| 13 | 2003 | 20 | |
| 14 | 2016 | 20 | |
| 15 | 2017 | 19 | |
| 16 | 2003 | 18 | |
| 17 | 1973 | 18 | |
| 18 | 2019 | 17 | |
| 19 | 2009 | 13 | |
| 20 | 2007 | 12 |
About Jeff O’Sullivan
Jeff O’Sullivan is a scholar working on Molecular Biology, Biochemistry, Cell Biology, Epidemiology and Biophysics, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microbial metabolism and enzyme function (14 papers), Biochemical Acid Research Studies (8 papers), Porphyrin Metabolism and Disorders (7 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Hemoglobin structure and function (4 papers), MicroRNA in disease regulation (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Cancer Research (365 citations), Biochemistry (135 citations), Molecular Biology (1.1k citations), Biophysics (76 citations) and Periodontics (54 citations). Jeff O’Sullivan has collaborated with scholars based in Ireland, Spain and France. Frequent co-authors include Keith F. Tipton, Kieran Brennan, Ciarán Richardson, S. P. Fitzgerald, Alfonso Blanco, Yunjie Wu, Katrin Martin, Margaret M. Mc Gee, Gavin P. Davey and Joe Healy. Their work appears in journals such as Journal of Neural Transmission, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Oral Oncology, European Journal of Cancer and Experimental and Molecular Pathology.
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.