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 13
- Porphyrin Metabolism and Disorders 6
- Biochemistry 10
- Biochemical Acid Research Studies 8
- Co-authors
- Katrin Martin (1 shared paper)S. P. Fitzgerald (1 shared paper)Yunjie Wu (1 shared paper)Kieran Brennan (1 shared paper)Margaret M. Mc Gee (1 shared paper)Alfonso Blanco (1 shared paper)Ciarán Richardson (1 shared paper)Keith F. Tipton (12 shared papers)
In The Last Decade
Jeff O’Sullivan
43 papers receiving 1.6k citations
Jeff O’Sullivan's Hit Papers
Peers
Comparison fields: 5 of 124
- Cancer Research 358
- Biochemistry 121
- Molecular Biology 1.0k
- Periodontics 52
- Biophysics 71
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 44 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 | 673 |
| 2 | 2004 | 164 | |
| 3 | 2003 | 151 | |
| 4 | 2016 | 100 | |
| 5 | 2020 | 51 | |
| 6 | 2015 | 48 | |
| 7 | 2021 | 35 | |
| 8 | 2020 | 34 | |
| 9 | 1970 | 26 | |
| 10 | 2011 | 21 | |
| 11 | 2003 | 20 | |
| 12 | 2016 | 20 | |
| 13 | 2017 | 19 | |
| 14 | 1971 | 19 | |
| 15 | 2017 | 19 | |
| 16 | 2003 | 17 | |
| 17 | 2019 | 16 | |
| 18 | 1973 | 15 | |
| 19 | 2018 | 11 | |
| 20 | 2007 | 11 |
About Jeff O’Sullivan
Jeff O’Sullivan is a scholar working on Molecular Biology, Biochemistry, Cell Biology, Epidemiology and Biophysics, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microbial metabolism and enzyme function (13 papers), Biochemical Acid Research Studies (8 papers), Porphyrin Metabolism and Disorders (6 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 (358 citations), Biochemistry (121 citations), Molecular Biology (1.0k citations), Periodontics (52 citations) and Biophysics (71 citations). Jeff O’Sullivan has collaborated with scholars based in Ireland, Spain and France. Frequent co-authors include Katrin Martin, S. P. Fitzgerald, Yunjie Wu, Kieran Brennan, Margaret M. Mc Gee, Alfonso Blanco, Ciarán Richardson, Keith F. Tipton, 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, Experimental and Molecular Pathology and European Journal of Cancer.
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.