Pedro Muniesa

1.1k citations
25 papers · 884 · h-index 16

Impact in

Papers in

    • Pluripotent Stem Cells Research 5
    • Renal and related cancers 4
    • CRISPR and Genetic Engineering 4
    • Congenital heart defects research 3
    • Developmental Biology and Gene Regulation 3
    • Diabetes and associated disorders 3

Pedro Muniesa

25 papers receiving 873 citations

Peers

Pedro Muniesa
Comparison fields: 5 of 80
  • Genetics 234
  • Biochemistry 61
  • Immunology 158
  • Endocrine and Autonomic Systems 43
  • Endocrinology, Diabetes and Metabolism 98
Replace Hong Jiao with:
Hong Jiao Sweden
Martine Géhin Switzerland
David M. Flavell United Kingdom
Cédric Chaveroux France
Yuki Kanda Japan
Kathryn L. Lipson United States
Mariano Ubeda United States
Anne‐Marie Lefrançois‐Martinez France
Sachiko Ohmori Japan
J. Michael Moates United States
Pedro Muniesa relative to Hong Jiao Sweden Hong Jiao's profile →
Citations per field
00.5×1.5×
Hong Jiao · 1×
Citations per year

Countries citing papers authored by Pedro Muniesa

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Muniesa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pedro Muniesa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pedro Muniesa Line = papers co-authored together Pedro Muniesa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992127
2 1994117
3 200990
4 199785
5 199354
6 200649
7 201449
8 201343
9 201239
10 200726
11 200726
12 200525
13 199622
14 200718
15 199717
16 201117
17 200815
18 201213
19 202013
20 199011

About Pedro Muniesa

Pedro Muniesa is a scholar working on Molecular Biology, Genetics, Immunology, Surgery and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 884 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Renal and related cancers (4 papers), CRISPR and Genetic Engineering (4 papers), Fatty Acid Research and Health (3 papers), Diabetes and associated disorders (3 papers), Congenital heart defects research (3 papers), Developmental Biology and Gene Regulation (3 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Genetics (234 citations), Biochemistry (61 citations), Immunology (158 citations), Endocrine and Autonomic Systems (43 citations) and Endocrinology, Diabetes and Metabolism (98 citations). Pedro Muniesa has collaborated with scholars based in Spain, Switzerland and United States. Frequent co-authors include J Huarte, J D Vassalli, Pedro L. Herrera, Raquel Pérez-Palacios, Jon Schoorlemmer, Jesús Osada, Diana Guallar, Carmen Arnal, Sergio Acı́n and Joaquín C. Surra. Their work appears in journals such as The Journal of Experimental Medicine, Human Molecular Genetics, Neuroscience, The International Journal of Developmental Biology and Retrovirology.

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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