Montserrat Miret

26 total papers · 1.3k total citations
13 papers, 825 citations indexed

About

Montserrat Miret is a scholar working on Pathology and Forensic Medicine, Epidemiology and Neurology. According to data from OpenAlex, Montserrat Miret has authored 13 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 4 papers in Epidemiology and 3 papers in Neurology. Recurrent topics in Montserrat Miret's work include Multiple Sclerosis Research Studies (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Systemic Lupus Erythematosus Research (2 papers). Montserrat Miret is often cited by papers focused on Multiple Sclerosis Research Studies (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Systemic Lupus Erythematosus Research (2 papers). Montserrat Miret collaborates with scholars based in Switzerland, Spain and United States. Montserrat Miret's co-authors include Yolanda B. Brauchli, Susan S. Jick, Christoph Meier, Sharon Saydah, Douglas Gause, Jennifer Sung, Henrik Toft Sørensen, Frederick L. Brancati, Cristina Varas and Christian Fynbo Christiansen and has published in prestigious journals such as PLoS ONE, Diabetes Care and Journal of Investigative Dermatology.

In The Last Decade

Montserrat Miret

13 papers receiving 794 citations

Author Peers

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

Author						Papers	Cites
Montserrat Miret	291	261	185	142	120	13	825
Wendy Dankers	336 1.2×	348 1.3×	46 0.2×	113 0.8×	91 0.8×	18	766
Andrea Di Domenicantonio	154 0.5×	226 0.9×	513 2.8×	114 0.8×	185 1.5×	18	974
Rebecca Sakai	523 1.8×	309 1.2×	108 0.6×	128 0.9×	109 0.9×	21	1.0k
Khawla Abu Samra	76 0.3×	104 0.4×	80 0.4×	139 1.0×	208 1.7×	11	922
Jos N. Hoes	83 0.3×	111 0.4×	145 0.8×	527 3.7×	124 1.0×	13	945
Chang‐Bi Wang	164 0.6×	166 0.6×	24 0.1×	251 1.8×	120 1.0×	12	812
WenChieh Chen	206 0.7×	108 0.4×	57 0.3×	192 1.4×	111 0.9×	14	932
David Goldminz	69 0.2×	100 0.4×	146 0.8×	49 0.3×	98 0.8×	15	886
P S Hasleton	109 0.4×	133 0.5×	33 0.2×	85 0.6×	262 2.2×	14	952
Bartolomeo Farzati	137 0.5×	109 0.4×	161 0.9×	64 0.5×	250 2.1×	19	792

Countries citing papers authored by Montserrat Miret

Since Specialization

Citations

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

Fields of papers citing papers by Montserrat Miret

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Montserrat Miret

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