Pau Badia-i-Mompel

3.3k citations
9 papers · 695 indexed · 2 hit papers · h-index 6
Topics
Single-cell and spatial transcriptomics (5 papers)Gene Regulatory Network Analysis (3 papers)Bioinformatics and Genomic Networks (3 papers)

In The Last Decade

Pau Badia-i-Mompel

9 papers receiving 691 citations

Hit Papers

decoupleR: ensemble of computational methods to infer bio...202220262023202420222023100200300

Peers

Pau Badia-i-Mompel
Comparison fields: 5 of 81
  • Molecular Biology 442
  • Immunology 136
  • Cancer Research 76
  • Oncology 69
  • Computational Theory and Mathematics 50
Replace Sophia Müller‐Dott with:
Sophia Müller‐Dott Germany
Mahmoud M. Ibrahim Germany
Moshe C. Silverstein United States
Zhuoqing Fang United States
Daniel Dimitrov Germany
Florian Uhlitz Germany
Jayson Harshbarger Japan
Cameron G. Williams Australia
Takahiro Asatsuma Australia
Manjunath Kustagi United States
Pau Badia-i-Mompel relative to Sophia Müller‐Dott Germany Sophia Müller‐Dott's profile →
Citations per field
00.5×6.3×
Sophia Müller‐Dott · 1×
Citations per year

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

9 of 9 papers shown
#WorkIndexed citations
1 2
2 48
3 14
4 2
5
Gene regulatory network inference in the era of single-cell multi-omicsbreakdown →
174
6 91
7
decoupleR: ensemble of computational methods to infer biological activities from omics databreakdown →
302
8 60
9 2

About Pau Badia-i-Mompel

Pau Badia-i-Mompel is a scholar working on Transplantation, Computational Theory and Mathematics and Pathology and Forensic Medicine, having authored 9 papers that have together received 695 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Gene Regulatory Network Analysis (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Biophysics (46 citations), Immunology (136 citations) and Molecular Biology (442 citations). Pau Badia-i-Mompel has collaborated with scholars based in Germany, United Kingdom and Spain. Frequent co-authors include Julio Sáez-Rodríguez, Ricardo O. Ramirez Flores, Sophia Müller‐Dott, Daniel Dimitrov, Aurélien Dugourd, Christian H. Holland, Petr Tauš, Jana M. Braunger, Celina Geiß and Rémi Trimbour. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Nature Neuroscience.

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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