Martin Parsons

46 total papers · 557 total citations
17 papers, 275 citations indexed

About

Martin Parsons is a scholar working on Molecular Biology, Hematology and Surgery. According to data from OpenAlex, Martin Parsons has authored 17 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Hematology and 3 papers in Surgery. Recurrent topics in Martin Parsons's work include Platelet Disorders and Treatments (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and EFL/ESL Teaching and Learning (3 papers). Martin Parsons is often cited by papers focused on Platelet Disorders and Treatments (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and EFL/ESL Teaching and Learning (3 papers). Martin Parsons collaborates with scholars based in Ireland, United Kingdom and Netherlands. Martin Parsons's co-authors include Patricia B. Maguire, Fionnuala Ní Áinle, Paulina B. Szklanna, Karen O’Connell, Johan W. M. Heemskerk, Alexandra C.A. Heinzmann, Frank Stassen, Elena M. Vasina, Leon J. Schurgers and Kieran Wynne and has published in prestigious journals such as American Journal of Physiology-Renal Physiology, PROTEOMICS and Thrombosis Research.

In The Last Decade

Martin Parsons

12 papers receiving 272 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Martin Parsons	136	84	56	45	44	17	275
María N. Barrachina	112 0.8×	102 1.2×	69 1.2×	39 0.9×	28 0.6×	21	292
Briony A. Cutts	185 1.4×	71 0.8×	51 0.9×	28 0.6×	20 0.5×	22	323
Nadezhda Latysheva	140 1.0×	87 1.0×	50 0.9×	81 1.8×	42 1.0×	18	280
W. Stenzinger	55 0.4×	160 1.9×	55 1.0×	42 0.9×	48 1.1×	18	325
Siyang Ren	124 0.9×	41 0.5×	31 0.6×	65 1.4×	16 0.4×	23	281
Stephan Macher-Göppinger	145 1.1×	40 0.5×	18 0.3×	37 0.8×	54 1.2×	16	308
Isabelle I. Salles‐Crawley	80 0.6×	105 1.3×	27 0.5×	21 0.5×	73 1.7×	14	269
Troy A. McEachron	112 0.8×	83 1.0×	17 0.3×	56 1.2×	59 1.3×	17	304
Tomoyuki Sasaki	80 0.6×	97 1.2×	27 0.5×	16 0.4×	76 1.7×	15	261
Álvaro Fernández‐Pardo	149 1.1×	34 0.4×	25 0.4×	113 2.5×	51 1.2×	19	318

Countries citing papers authored by Martin Parsons

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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