Dídac Parramon

19 total papers · 457 total citations
14 papers, 280 citations indexed

About

Dídac Parramon is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and General Health Professions. According to data from OpenAlex, Dídac Parramon has authored 14 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in General Health Professions. Recurrent topics in Dídac Parramon's work include Peripheral Artery Disease Management (3 papers), Chronic Disease Management Strategies (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Dídac Parramon is often cited by papers focused on Peripheral Artery Disease Management (3 papers), Chronic Disease Management Strategies (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Dídac Parramon collaborates with scholars based in Spain, United Kingdom and Denmark. Dídac Parramon's co-authors include Maria García-Gil, Anna Ponjoan, Rafel Ramos, Ruth Martí‐Lluch, Marc Comas‐Cufí, Lia Alves‐Cabratosa, Jordi Blanch, Josep Garre‐Olmo, Irene Petersen and Marc Elosua-Bayés and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Preventive Medicine.

In The Last Decade

Dídac Parramon

14 papers receiving 277 citations

Author Peers

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

Author						Papers	Cites
Dídac Parramon	73	67	57	55	43	14	280
Jessica White	67 0.9×	57 0.9×	24 0.4×	30 0.5×	20 0.5×	13	285
S. Keinänen-Kiukaanniemi	44 0.6×	69 1.0×	27 0.5×	88 1.6×	13 0.3×	13	284
Chuen-Chau Chang	54 0.7×	73 1.1×	29 0.5×	24 0.4×	78 1.8×	12	294
Jinchi Xie	21 0.3×	23 0.3×	34 0.6×	41 0.7×	24 0.6×	11	252
M Ponzetto	21 0.3×	42 0.6×	35 0.6×	66 1.2×	41 1.0×	21	301
Ng	19 0.3×	42 0.6×	61 1.1×	60 1.1×	101 2.3×	14	326
Belay Birlie Yimer	21 0.3×	25 0.4×	26 0.5×	19 0.3×	32 0.7×	20	273
Vincent Wietlisbach	53 0.7×	12 0.2×	19 0.3×	31 0.6×	73 1.7×	18	311
Giuseppe Orsitto	11 0.2×	36 0.5×	86 1.5×	133 2.4×	49 1.1×	15	310
Chen Huang	42 0.6×	34 0.5×	14 0.2×	56 1.0×	31 0.7×	18	330

Countries citing papers authored by Dídac Parramon

Since Specialization

Citations

This map shows the geographic impact of Dídac Parramon'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 Dídac Parramon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dídac Parramon more than expected).

Fields of papers citing papers by Dídac Parramon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dídac Parramon. 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 Dídac Parramon. The network helps show where Dídac Parramon may publish in the future.

Co-authorship network of co-authors of Dídac Parramon

This figure shows the co-authorship network connecting the top 25 collaborators of Dídac Parramon. A scholar is included among the top collaborators of Dídac Parramon 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 Dídac Parramon. Dídac Parramon 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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