Oliver Lomas
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
Papers in
- Hematology 11
- Multiple Myeloma Research and Treatments 7
- Acute Myeloid Leukemia Research 2
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- Receptor Mechanisms and Signaling 3
- Phosphodiesterase function and regulation 3
- Protein Degradation and Inhibitors 2
- Co-authors
- Irene M. Ghobrial (4 shared papers)Sabrin Tahri (2 shared papers)Manuela Zaccolo (4 shared papers)Carl Jannes Neuse (1 shared paper)Mark Bustoros (1 shared paper)Christoph Schliemann (1 shared paper)Yu J. Shen (1 shared paper)Salomon Manier (1 shared paper)
- Journals
- British Journal of Haematology (2 papers)Blood (2 papers)Cardiovascular Research (1 paper)Leukemia (1 paper)Blood Advances (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Oliver Lomas
21 papers receiving 325 citations
Peers
Comparison fields: 5 of 62
- Hematology 116
- Physiology 14
- Oncology 82
- Cardiology and Cardiovascular Medicine 63
- Molecular Biology 190
Countries citing papers authored by Oliver Lomas
This map shows the geographic impact of Oliver Lomas'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 Oliver Lomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Lomas more than expected).
Fields of papers citing papers by Oliver Lomas
This network shows the impact of papers produced by Oliver Lomas. 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 Oliver Lomas. The network helps show where Oliver Lomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Oliver Lomas, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 71 | |
| 2 | 2016 | 47 | |
| 3 | 2019 | 46 | |
| 4 | 2014 | 30 | |
| 5 | 2009 | 29 | |
| 6 | 2020 | 28 | |
| 7 | 2020 | 18 | |
| 8 | 2021 | 14 | |
| 9 | 2023 | 8 | |
| 10 | 2015 | 8 | |
| 11 | 2021 | 6 | |
| 12 | 2020 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2009 | 3 | |
| 15 | 2010 | 2 | |
| 16 | 2010 | 2 | |
| 17 | 2011 | 2 | |
| 18 | 2014 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2019 | 1 |
About Oliver Lomas
Oliver Lomas is a scholar working on Hematology, Molecular Biology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Oncology, having authored 22 papers that have together received 331 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (7 papers), Cardiac electrophysiology and arrhythmias (6 papers), Cardiac Arrhythmias and Treatments (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Receptor Mechanisms and Signaling (3 papers), Phosphodiesterase function and regulation (3 papers), Acute Myeloid Leukemia Research (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Hematology (116 citations), Physiology (14 citations), Oncology (82 citations), Cardiology and Cardiovascular Medicine (63 citations) and Molecular Biology (190 citations). Oliver Lomas has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Irene M. Ghobrial, Sabrin Tahri, Manuela Zaccolo, Carl Jannes Neuse, Mark Bustoros, Christoph Schliemann, Yu J. Shen, Salomon Manier, Pawel Swietach and Kees Jalink. Their work appears in journals such as British Journal of Haematology, Blood, Cardiovascular Research, Leukemia and Blood Advances.
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.