Troy J. Pells

786 total citations
12 papers, 399 citations indexed

About

Troy J. Pells is a scholar working on Molecular Biology, Oceanography and Ecology. According to data from OpenAlex, Troy J. Pells has authored 12 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Oceanography and 3 papers in Ecology. Recurrent topics in Troy J. Pells's work include Biomedical Text Mining and Ontologies (3 papers), Genomics and Phylogenetic Studies (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). Troy J. Pells is often cited by papers focused on Biomedical Text Mining and Ontologies (3 papers), Genomics and Phylogenetic Studies (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). Troy J. Pells collaborates with scholars based in Canada, United States and Australia. Troy J. Pells's co-authors include Kamran Karimi, Peter D. Vize, Vaneet Lotay, Stanley Chu, Christina James‐Zorn, Malcolm E Fisher, Virgilio Ponferrada, Aaron M. Zorn, Praneet Chaturvedi and Joshua D. Fortriede and has published in prestigious journals such as Nucleic Acids Research, Genetics and Molecular Ecology.

In The Last Decade

Troy J. Pells

12 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Troy J. Pells Canada 10 256 72 44 38 32 12 399
Michal Levin Germany 13 457 1.8× 72 1.0× 30 0.7× 36 0.9× 16 0.5× 22 687
Catriona Munro United States 11 217 0.8× 67 0.9× 59 1.3× 30 0.8× 25 0.8× 17 378
Stanley Chu Canada 6 219 0.9× 67 0.9× 23 0.5× 36 0.9× 7 0.2× 7 307
Erik Segerdell United States 13 532 2.1× 111 1.5× 39 0.9× 61 1.6× 6 0.2× 19 663
Vladislav V. Speransky United States 10 367 1.4× 25 0.3× 54 1.2× 90 2.4× 60 1.9× 13 557
Christina James‐Zorn United States 10 433 1.7× 124 1.7× 45 1.0× 75 2.0× 6 0.2× 14 591
Joseph P. Campanale United States 13 273 1.1× 36 0.5× 19 0.4× 204 5.4× 29 0.9× 20 531
Howsun Jow United Kingdom 6 378 1.5× 128 1.8× 60 1.4× 12 0.3× 29 0.9× 7 563
Joshua D. Fortriede United States 10 391 1.5× 116 1.6× 39 0.9× 69 1.8× 5 0.2× 11 514
Irina A. Mueller United States 8 227 0.9× 41 0.6× 125 2.8× 36 0.9× 19 0.6× 9 376

Countries citing papers authored by Troy J. Pells

Since Specialization
Citations

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

Fields of papers citing papers by Troy J. Pells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Troy J. Pells. 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 Troy J. Pells. The network helps show where Troy J. Pells may publish in the future.

Co-authorship network of co-authors of Troy J. Pells

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

All Works

12 of 12 papers shown
1.
Telmer, Cheryl A., Kamran Karimi, Bradley I. Arshinoff, et al.. (2024). Echinobase: a resource to support the echinoderm research community. Genetics. 227(1). 11 indexed citations
2.
Fisher, Malcolm E, Christina James‐Zorn, Virgilio Ponferrada, et al.. (2023). Xenbase: key features and resources of the Xenopus model organism knowledgebase. Genetics. 224(1). 38 indexed citations
3.
Fisher, Malcolm E, Erik Segerdell, Nicolas Matentzoglu, et al.. (2022). The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development. BMC Bioinformatics. 23(1). 99–99. 4 indexed citations
4.
Ziemianowicz, Daniel S., et al.. (2021). IMProv: A Resource for Cross-link-Driven Structure Modeling that Accommodates Protein Dynamics. Molecular & Cellular Proteomics. 20. 100139–100139. 9 indexed citations
5.
Karimi, Kamran, Cheryl A. Telmer, Troy J. Pells, et al.. (2021). Classifying domain-specific text documents containing ambiguous keywords. Database. 2021. 6 indexed citations
6.
Arshinoff, Bradley I., Gregory A. Cary, Kamran Karimi, et al.. (2021). Echinobase: leveraging an extant model organism database to build a knowledgebase supporting research on the genomics and biology of echinoderms. Nucleic Acids Research. 50(D1). D970–D979. 52 indexed citations
7.
Ziemianowicz, Daniel S., et al.. (2020). Harmonizing structural mass spectrometry analyses in the mass spec studio. Journal of Proteomics. 225. 103844–103844. 9 indexed citations
8.
Fisher, Malcolm E, Christina James‐Zorn, Troy J. Pells, et al.. (2019). Xenbase: Facilitating the Use of Xenopus to Model Human Disease. Frontiers in Physiology. 10. 154–154. 58 indexed citations
10.
Fortriede, Joshua D., Troy J. Pells, Stanley Chu, et al.. (2019). Xenbase: deep integration of GEO & SRA RNA-seq and ChIP-seq data in a model organism database. Nucleic Acids Research. 48(D1). D776–D782. 39 indexed citations
11.
James‐Zorn, Christina, Virgilio Ponferrada, Malcolm E Fisher, et al.. (2018). Navigating Xenbase: An Integrated Xenopus Genomics and Gene Expression Database. Methods in molecular biology. 1757. 251–305. 20 indexed citations
12.
Karimi, Kamran, Joshua D. Fortriede, Vaneet Lotay, et al.. (2017). Xenbase: a genomic, epigenomic and transcriptomic model organism database. Nucleic Acids Research. 46(D1). D861–D868. 137 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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