Pau Badia-i-Mompel

32 total papers · 3.1k total citations
9 papers, 641 citations indexed

About

Pau Badia-i-Mompel is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Computational Theory and Mathematics. According to data from OpenAlex, Pau Badia-i-Mompel has authored 9 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Computational Theory and Mathematics. Recurrent topics in Pau Badia-i-Mompel's work include Single-cell and spatial transcriptomics (5 papers), Gene Regulatory Network Analysis (3 papers) and Bioinformatics and Genomic Networks (3 papers). Pau Badia-i-Mompel is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Gene Regulatory Network Analysis (3 papers) and Bioinformatics and Genomic Networks (3 papers). Pau Badia-i-Mompel collaborates with scholars based in Germany, Spain and United Kingdom. Pau Badia-i-Mompel's co-authors include Ricardo O. Ramirez Flores, Julio Sáez-Rodríguez, Sophia Müller‐Dott, Daniel Dimitrov, Aurélien Dugourd, Petr Tauš, Jana M. Braunger, Christian H. Holland, Celina Geiß and Rémi Trimbour and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Neuroscience.

In The Last Decade

Pau Badia-i-Mompel

9 papers receiving 637 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Pau Badia-i-Mompel 410 129 74 65 49 9 641
Moshe C. Silverstein 424 1.0× 56 0.4× 104 1.4× 55 0.8× 38 0.8× 7 632
Sophia Müller‐Dott 375 0.9× 118 0.9× 70 0.9× 63 1.0× 10 0.2× 9 579
Christoph Ogris 486 1.2× 91 0.7× 140 1.9× 83 1.3× 31 0.6× 14 630
Jayson Harshbarger 500 1.2× 153 1.2× 112 1.5× 103 1.6× 11 0.2× 6 660
Christian M. Stegmann 461 1.1× 70 0.5× 44 0.6× 75 1.2× 15 0.3× 10 734
Meher Majety 395 1.0× 105 0.8× 107 1.4× 276 4.2× 49 1.0× 13 719
Angela Hughes‐Earle 415 1.0× 218 1.7× 91 1.2× 112 1.7× 42 0.9× 9 564
Martin N. McCall 438 1.1× 142 1.1× 111 1.5× 106 1.6× 18 0.4× 15 714
Nancy George 476 1.2× 65 0.5× 89 1.2× 62 1.0× 21 0.4× 8 662
Chantal Pont 408 1.0× 75 0.6× 116 1.6× 132 2.0× 17 0.3× 14 563

Countries citing papers authored by Pau Badia-i-Mompel

Since Specialization
Citations

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

Fields of papers citing papers by Pau Badia-i-Mompel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pau Badia-i-Mompel. 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 Pau Badia-i-Mompel. The network helps show where Pau Badia-i-Mompel may publish in the future.

Co-authorship network of co-authors of Pau Badia-i-Mompel

This figure shows the co-authorship network connecting the top 25 collaborators of Pau Badia-i-Mompel. A scholar is included among the top collaborators of Pau Badia-i-Mompel 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 Pau Badia-i-Mompel. Pau Badia-i-Mompel 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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