Jonathan F. Goodwin

85 total papers · 1.6k total citations
7 papers, 665 citations indexed

About

Jonathan F. Goodwin is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Jonathan F. Goodwin has authored 7 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Jonathan F. Goodwin's work include Prostate Cancer Treatment and Research (4 papers), PARP inhibition in cancer therapy (3 papers) and Ubiquitin and proteasome pathways (2 papers). Jonathan F. Goodwin is often cited by papers focused on Prostate Cancer Treatment and Research (4 papers), PARP inhibition in cancer therapy (3 papers) and Ubiquitin and proteasome pathways (2 papers). Jonathan F. Goodwin collaborates with scholars based in United States, Canada and Norway. Jonathan F. Goodwin's co-authors include Karen E. Knudsen, Matthew J. Schiewer, Randy S. Schrecengost, Jeffry L. Dean, Renée de Leeuw, Felix Y. Feng, Robert B. Den, Adam P. Dicker, Sumin Han and Teng Ma and has published in prestigious journals such as Cancer Research, Oncogene and Cancer Discovery.

In The Last Decade

Jonathan F. Goodwin

7 papers receiving 657 citations

Author Peers

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

Author Last Decade Papers Cites
Jonathan F. Goodwin 421 303 295 133 54 7 665
Jens Enoksson 532 1.3× 353 1.2× 247 0.8× 176 1.3× 68 1.3× 7 761
Tanaz Sharifnia 493 1.2× 223 0.7× 300 1.0× 181 1.4× 29 0.5× 8 712
Meaghan A. Delaney 449 1.1× 254 0.8× 144 0.5× 140 1.1× 41 0.8× 7 713
Claudia Ligorio 288 0.7× 276 0.9× 258 0.9× 87 0.7× 42 0.8× 11 621
Megan Hames 504 1.2× 211 0.7× 278 0.9× 192 1.4× 36 0.7× 9 721
Karen Petersen 451 1.1× 244 0.8× 249 0.8× 193 1.5× 41 0.8× 9 656
Karijn Floor 401 1.0× 244 0.8× 179 0.6× 100 0.8× 43 0.8× 12 588
Karen G. Spink 392 0.9× 277 0.9× 176 0.6× 169 1.3× 54 1.0× 13 721
Luis A. Martinez 385 0.9× 351 1.2× 154 0.5× 107 0.8× 46 0.9× 9 584
Tamako Konkin 318 0.8× 232 0.8× 124 0.4× 213 1.6× 42 0.8× 8 760

Countries citing papers authored by Jonathan F. Goodwin

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan F. Goodwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan F. Goodwin. 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 Jonathan F. Goodwin. The network helps show where Jonathan F. Goodwin may publish in the future.

Co-authorship network of co-authors of Jonathan F. Goodwin

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan F. Goodwin. A scholar is included among the top collaborators of Jonathan F. Goodwin 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 Jonathan F. Goodwin. Jonathan F. Goodwin 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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