Martin Parsons
- Molecular Biology
- Hematology top 10%
- Cardiology and Cardiovascular Medicine
- Cancer Research
- Immunology
- Co-authors
- Patricia B. MaguireFionnuala Ní ÁinlePaulina B. SzklannaKaren O’ConnellJohan W. M. HeemskerkKieran WynneLeon J. SchurgersTanja Vajen
- Topics
- Platelet Disorders and Treatments (5 papers)Blood Coagulation and Thrombosis Mechanisms (4 papers)Extracellular vesicles in disease (3 papers)
- Partner nations
- IrelandUnited KingdomNetherlands
In The Last Decade
Martin Parsons
12 papers receiving 276 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 139
- Hematology 84
- Cardiology and Cardiovascular Medicine 57
- Cancer Research 45
- Immunology 44
Countries citing papers authored by Martin Parsons
This map shows the geographic impact of Martin Parsons'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 Martin Parsons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Parsons more than expected).
Fields of papers citing papers by Martin Parsons
This network shows the impact of papers produced by Martin Parsons. 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 Martin Parsons. The network helps show where Martin Parsons may publish in the future.
Co-authorship network of co-authors of Martin Parsons
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Parsons. A scholar is included among the top collaborators of Martin Parsons based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Parsons. Martin Parsons is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 18 | |
| 4 | 7 | |
| 5 | 9 | |
| 6 | 41 | |
| 7 | 15 | |
| 8 | 9 | |
| 9 | 44 | |
| 10 | 14 | |
| 11 | 92 | |
| 12 | Student Attitudes to CLIL Lessons Utilising a Problem-based Approach to English Language Education at University in Japan | 2 |
| 13 | 24 | |
| 14 | 0 | |
| 15 | Towards Understanding the Issues Concerning the Adoption of CLIL Approaches to English Language Teaching and Learning in Japanese Universities | 1 |
| 16 | Toward a student's curriculum: learner perceptions of studying EFL at university | 3 |
| 17 | Vowel Phonemes in Japanese and American English: Similarities and Differences | 0 |
About Martin Parsons
Martin Parsons is a scholar working on Hematology, Language and Linguistics and Literature and Literary Theory, having authored 17 papers that have together received 279 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Hematology (84 citations), Internal Medicine (21 citations) and Cancer Research (45 citations). Martin Parsons has collaborated with scholars based in Ireland, United Kingdom and Netherlands. Frequent co-authors include Patricia B. Maguire, Fionnuala Ní Áinle, Paulina B. Szklanna, Karen O’Connell, Johan W. M. Heemskerk, Kieran Wynne, Leon J. Schurgers, Tanja Vajen, Alexandra C.A. Heinzmann and Rory R. Koenen. Their work appears in journals such as American Journal of Physiology-Renal Physiology, PROTEOMICS and Thrombosis Research.
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.