Jason Goodspeed

14 total papers · 1.5k total citations
2 papers, 10 citations indexed

About

Jason Goodspeed is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jason Goodspeed has authored 2 papers receiving a total of 10 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Pediatrics, Perinatology and Child Health and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Jason Goodspeed's work include Mitochondrial Function and Pathology (1 paper), ATP Synthase and ATPases Research (1 paper) and Assisted Reproductive Technology and Twin Pregnancy (1 paper). Jason Goodspeed is often cited by papers focused on Mitochondrial Function and Pathology (1 paper), ATP Synthase and ATPases Research (1 paper) and Assisted Reproductive Technology and Twin Pregnancy (1 paper). Jason Goodspeed collaborates with scholars based in United States, Australia and Germany. Jason Goodspeed's co-authors include Joseph A. Baur, David W. Frederick, Nathaniel W. Snyder, Sophie Trefely, Jay Prakash Singh, Clementina Mesaros, Mary T. Doan, Nicolle Clements, Peining Xu and M.J. Glassner and has published in prestigious journals such as The Analyst and Systems Biology in Reproductive Medicine.

In The Last Decade

Jason Goodspeed

2 papers receiving 10 citations

Author Peers

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

Author Last Decade Papers Cites
Jason Goodspeed 6 2 2 2 1 2 10
Meaghan S. Roche 4 0.7× 2 1.0× 3 1.5× 2 8
Clifford A. Reid 5 0.8× 2 1.0× 1 0.5× 3 9
Hildigunnur Katrínardóttir 5 0.8× 2 1.0× 2 10
Rún Friðriksdóttir 5 0.8× 2 1.0× 2 10
Canqing Yu 9 1.5× 3 1.5× 3 10
Julia Dmitrieva 6 1.0× 1 1.0× 2 10
Christoph Buhlheller 6 1.0× 3 10
Chris Lawerenz 6 1.0× 1 0.5× 1 0.5× 2 10
Donna Campbell 6 1.0× 3 10
Juraj Gottweis 6 1.0× 3 9

Countries citing papers authored by Jason Goodspeed

Since Specialization
Citations

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

Fields of papers citing papers by Jason Goodspeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Goodspeed

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Goodspeed. A scholar is included among the top collaborators of Jason Goodspeed 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 Jason Goodspeed. Jason Goodspeed 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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