Montserrat Miret

1.3k citations
13 papers · 825 indexed · h-index 11
Topics
Multiple Sclerosis Research Studies (3 papers)Polyomavirus and related diseases (2 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers)

In The Last Decade

Montserrat Miret

13 papers receiving 795 citations

Peers

Montserrat Miret
Comparison fields: 5 of 88
  • Pathology and Forensic Medicine 291
  • Immunology 261
  • Endocrinology, Diabetes and Metabolism 184
  • Rheumatology 141
  • Molecular Biology 119
Replace Anne E Stanwix with:
Anne E Stanwix South Africa
Przemysław Kotyla Poland
C Danese Italy
Annika E. Michelsen Norway
Yiding Yu China
Weiguo Wan China
A. Vishnu Moorthy United States
Hideto Akama Japan
Bassam Alchi Japan
Peter Oelzner Germany
Montserrat Miret relative to Anne E Stanwix South Africa Anne E Stanwix's profile →
Citations per field
00.5×3.3×
Anne E Stanwix · 1×
Citations per year

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

13 of 13 papers shown
#WorkIndexed citations
1 3
2 46
3 12
4 37
5 102
6 131
7 98
8 149
9 27
10 9
11 176
12 10
13 25

About Montserrat Miret

Montserrat Miret is a scholar working on Internal Medicine, Pathology and Forensic Medicine and Virology, having authored 13 papers that have together received 825 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (3 papers), Polyomavirus and related diseases (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (291 citations), Immunology (261 citations) and Endocrinology, Diabetes and Metabolism (184 citations). Montserrat Miret has collaborated with scholars based in Switzerland, Spain and United States. Frequent co-authors include Christoph Meier, Susan S. Jick, Yolanda B. Brauchli, Henrik Toft Sørensen, Frederick L. Brancati, Jennifer Sung, Sharon Saydah, Douglas Gause, Cristina Varas and Steffen Christensen. Their work appears in journals such as PLoS ONE, Diabetes Care and Journal of Investigative Dermatology.

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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