Joseph M. Paggi

40 total papers · 16.8k total citations
17 papers, 8.8k citations indexed

About

Joseph M. Paggi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Joseph M. Paggi has authored 17 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 3 papers in Organic Chemistry. Recurrent topics in Joseph M. Paggi's work include RNA and protein synthesis mechanisms (5 papers), Neuropeptides and Animal Physiology (5 papers) and RNA Research and Splicing (4 papers). Joseph M. Paggi is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Neuropeptides and Animal Physiology (5 papers) and RNA Research and Splicing (4 papers). Joseph M. Paggi collaborates with scholars based in United States, Japan and United Kingdom. Joseph M. Paggi's co-authors include Steven L. Salzberg, Christopher Bennett, Daehwan Kim, Chanhee Park, Ron O. Dror, Brian K. Kobilka, Naomi R. Latorraca, Qianhui Qu, Georgios Skiniotis and Daniel Hilger and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Joseph M. Paggi

16 papers receiving 8.8k citations

Hit Papers

Graph-based genome alignm... 2018 2026 2020 2023 2019 2018 2024 2.5k 5.0k 7.5k

Author Peers

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

Author Last Decade Papers Cites
Joseph M. Paggi 5.4k 2.5k 1.1k 786 761 17 8.8k
Nicolas Bray 5.8k 1.1× 1.5k 0.6× 1.2k 1.1× 1.1k 1.4× 904 1.2× 17 8.8k
Páll Melsted 5.6k 1.0× 1.6k 0.6× 1.2k 1.2× 871 1.1× 955 1.3× 32 9.3k
Matthew J. Wakefield 4.3k 0.8× 2.4k 1.0× 1.3k 1.2× 852 1.1× 698 0.9× 67 7.9k
Ryan Kelley 7.3k 1.4× 2.4k 1.0× 1.4k 1.3× 1.6k 2.0× 964 1.3× 8 11.0k
Gary C. Hon 9.3k 1.7× 2.0k 0.8× 1.8k 1.6× 530 0.7× 916 1.2× 24 12.4k
Masumi Itoh 5.8k 1.1× 2.4k 0.9× 931 0.9× 721 0.9× 736 1.0× 20 9.3k
Lorian Schaeffer 7.1k 1.3× 2.8k 1.1× 1.4k 1.3× 1.5k 1.9× 858 1.1× 6 10.9k
Adam Roberts 8.7k 1.6× 3.3k 1.3× 1.6k 1.5× 2.1k 2.6× 1.2k 1.5× 20 13.5k
Mika Hirakawa 5.1k 0.9× 1.7k 0.7× 954 0.9× 823 1.0× 598 0.8× 13 7.7k
Michèle Clamp 8.1k 1.5× 2.5k 1.0× 2.2k 2.0× 415 0.5× 835 1.1× 20 12.1k

Countries citing papers authored by Joseph M. Paggi

Since Specialization
Citations

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

Fields of papers citing papers by Joseph M. Paggi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph M. Paggi. 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 Joseph M. Paggi. The network helps show where Joseph M. Paggi may publish in the future.

Co-authorship network of co-authors of Joseph M. Paggi

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph M. Paggi. A scholar is included among the top collaborators of Joseph M. Paggi 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 Joseph M. Paggi. Joseph M. Paggi 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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