Helder Pedro

5.9k total citations · 1 hit paper
9 papers, 2.1k citations indexed

About

Helder Pedro is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Helder Pedro has authored 9 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Plant Science and 3 papers in Cell Biology. Recurrent topics in Helder Pedro's work include Genomics and Phylogenetic Studies (5 papers), Plant-Microbe Interactions and Immunity (3 papers) and Plant Pathogens and Fungal Diseases (3 papers). Helder Pedro is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Plant-Microbe Interactions and Immunity (3 papers) and Plant Pathogens and Fungal Diseases (3 papers). Helder Pedro collaborates with scholars based in United Kingdom, United States and Ireland. Helder Pedro's co-authors include Lior Pachter, William Cookson, Len W. Poulter, Markus Hilty, Paúl Cárdenas, Aaron Ervine, Miriam F. Moffatt, Conor M. Burke, Cara Bossley and Andrew Bush and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Frontiers in Microbiology.

In The Last Decade

Helder Pedro

9 papers receiving 2.0k citations

Hit Papers

Disordered Microbial Communities in Asthmatic Airways 2010 2026 2015 2020 2010 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Helder Pedro United Kingdom 8 1.0k 529 477 447 413 9 2.1k
Fadi Bittar France 25 1.5k 1.4× 275 0.5× 122 0.3× 181 0.4× 50 0.1× 87 2.6k
Karine Adel‐Patient France 29 609 0.6× 50 0.1× 464 1.0× 135 0.3× 80 0.2× 116 2.7k
Pradeep Reddy Marri United States 19 788 0.8× 87 0.2× 166 0.3× 647 1.4× 84 0.2× 27 1.6k
Émilie Fréalle France 20 236 0.2× 261 0.5× 67 0.1× 84 0.2× 72 0.2× 52 1.1k
Clay Deming United States 15 976 1.0× 46 0.1× 333 0.7× 96 0.2× 43 0.1× 17 3.2k
Effie Nomicos United States 9 613 0.6× 39 0.1× 244 0.5× 97 0.2× 35 0.1× 10 2.3k
Joshua Daly Australia 8 630 0.6× 131 0.2× 206 0.4× 63 0.1× 68 0.2× 9 1.0k
Marcin Golec Poland 16 175 0.2× 150 0.3× 46 0.1× 256 0.6× 71 0.2× 43 921
Birgit Henrich Germany 24 401 0.4× 139 0.3× 194 0.4× 120 0.3× 20 0.0× 83 1.7k
Terrence L. Stull United States 27 581 0.6× 475 0.9× 36 0.1× 364 0.8× 21 0.1× 62 1.8k

Countries citing papers authored by Helder Pedro

Since Specialization
Citations

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

Fields of papers citing papers by Helder Pedro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helder Pedro

This figure shows the co-authorship network connecting the top 25 collaborators of Helder Pedro. A scholar is included among the top collaborators of Helder Pedro 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 Helder Pedro. Helder Pedro 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
1.
Urban, Martin, Alayne Cuzick, James Seager, et al.. (2021). PHI-base in 2022: a multi-species phenotype database for Pathogen–Host Interactions. Nucleic Acids Research. 50(D1). D837–D847. 101 indexed citations
2.
Urban, Martin, Alayne Cuzick, James Seager, et al.. (2019). PHI-base: the pathogen–host interactions database. Nucleic Acids Research. 48(D1). D613–D620. 232 indexed citations
3.
Pedro, Helder, Andrew Yates, Paul Kersey, & Nishadi De Silva. (2019). Collaborative Annotation Redefines Gene Sets for Crucial Phytopathogens. Frontiers in Microbiology. 10. 2477–2477. 6 indexed citations
4.
Urban, Martin, Alayne Cuzick, Kim Rutherford, et al.. (2016). PHI-base: a new interface and further additions for the multi-species pathogen–host interactions database. Nucleic Acids Research. 45(D1). D604–D610. 164 indexed citations
5.
Urban, Martin, Robert C. King, Ambrose Andongabo, et al.. (2016). First Draft Genome Sequence of a UK Strain (UK99) of Fusarium culmorum. Genome Announcements. 4(5). 18 indexed citations
6.
Pedro, Helder, Uma Maheswari, Martin Urban, et al.. (2015). PhytoPath: an integrative resource for plant pathogen genomics. Nucleic Acids Research. 44(D1). D688–D693. 31 indexed citations
7.
Urban, Martin, Rashmi Pant, Arathi Raghunath, et al.. (2014). The Pathogen-Host Interactions database (PHI-base): additions and future developments. Nucleic Acids Research. 43(D1). D645–D655. 185 indexed citations
8.
Hilty, Markus, Conor M. Burke, Helder Pedro, et al.. (2010). Disordered Microbial Communities in Asthmatic Airways. PLoS ONE. 5(1). e8578–e8578. 1284 indexed citations breakdown →
9.
Willerth, Stephanie M., Helder Pedro, Lior Pachter, et al.. (2010). Development of a Low Bias Method for Characterizing Viral Populations Using Next Generation Sequencing Technology. PLoS ONE. 5(10). e13564–e13564. 41 indexed citations

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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