Miguel Munar-Qués

667 citations
23 papers · 267 indexed · h-index 8
Topics
Amyloidosis: Diagnosis, Treatment, Outcomes (17 papers)Protein Kinase Regulation and GTPase Signaling (5 papers)Peptidase Inhibition and Analysis (3 papers)

In The Last Decade

Miguel Munar-Qués

22 papers receiving 260 citations

Peers

Miguel Munar-Qués
Comparison fields: 5 of 34
  • Molecular Biology 232
  • Cell Biology 55
  • Physiology 50
  • Epidemiology 49
  • Oncology 48
Replace Marie Larsson with:
Marie Larsson Sweden
Irfana Soomro United States
Yutaka Tsubata Japan
S. Steven Potter United States
Victoria Arthur United States
Juan Alberto Piñero‐Fernández Spain
CJ Whelan United Kingdom
Sébastien Delbès France
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Miguel Munar-Qués relative to Marie Larsson Sweden Marie Larsson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Miguel Munar-Qués

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Munar-Qués

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel Munar-Qués. 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 Miguel Munar-Qués. The network helps show where Miguel Munar-Qués may publish in the future.

Co-authorship network of co-authors of Miguel Munar-Qués

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Munar-Qués. A scholar is included among the top collaborators of Miguel Munar-Qués 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 Miguel Munar-Qués. Miguel Munar-Qués is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 33
4
Common origin of the Val30Met mutation responsible for the amyloidogenic transthyretin type of familial amyloidotic
2
5 4
6
Establecimiento de la probabilidad etiológica en las bronquiolitis víricas de la población lactante
3
7 4
8 6
9 4
10 10
11 46
12
La recerca sobre la malaltia d'Andrade
3
13 33
14 41
15 1
16 33
17
[Up-date on amyloidosis. Hereditary amyloidosis].
3
18
[Liver transplantation for the treatment of type I familial amyloidotic polyneuropathy].
4
19 14
20
[Familial type I (Portuguese form) amyloidotic polyneuropathy in Majorca. Study using the TTR (Met30) genetic marker].
4

About Miguel Munar-Qués

Miguel Munar-Qués is a scholar working on Transplantation, Hepatology and Molecular Biology, having authored 23 papers that have together received 267 indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (17 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Nephrology (32 citations), Transplantation (11 citations) and Molecular Biology (232 citations). Miguel Munar-Qués has collaborated with scholars based in Spain, Portugal and United States. Frequent co-authors include Maria João Saraiva, R Robles, F Acosta, Manuel Miras, Teresa Coelho, Raquel Seruca, Jorge Sequeiros, Leonor Gusmão, F.S Bueno and Pedro P. Costa. Their work appears in journals such as British journal of surgery, Transplantation and Journal of Medical Genetics.

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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