Katharine Goodwin

51 total papers · 1.2k total citations
26 papers, 716 citations indexed

About

Katharine Goodwin is a scholar working on Molecular Biology, Cell Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Katharine Goodwin has authored 26 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Cell Biology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Katharine Goodwin's work include Neonatal Respiratory Health Research (8 papers), Cellular Mechanics and Interactions (7 papers) and Congenital heart defects research (7 papers). Katharine Goodwin is often cited by papers focused on Neonatal Respiratory Health Research (8 papers), Cellular Mechanics and Interactions (7 papers) and Congenital heart defects research (7 papers). Katharine Goodwin collaborates with scholars based in United States, Canada and United Kingdom. Katharine Goodwin's co-authors include Celeste M. Nelson, Guy Tanentzapf, Derek C. Radisky, Erin Miller, Rodrigo Fernández‐González, Teresa Zulueta-Coarasa, Andrej Košmrlj, Sheng Mao, Jason P. Gleghorn and Victor D. Varner and has published in prestigious journals such as PLoS ONE, Development and Nature Methods.

In The Last Decade

Katharine Goodwin

25 papers receiving 712 citations

Author Peers

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

Author						Papers	Cites
Katharine Goodwin	318	268	130	126	99	26	716
Cristina Bertocchi	235 0.7×	339 1.3×	164 1.3×	175 1.4×	56 0.6×	30	761
Stefan Czerniecki	578 1.8×	144 0.5×	151 1.2×	197 1.6×	87 0.9×	15	827
Ian K. Buckley	370 1.2×	352 1.3×	39 0.3×	104 0.8×	67 0.7×	23	817
Kai Zhang	285 0.9×	149 0.6×	191 1.5×	115 0.9×	37 0.4×	27	721
A. Кlеіn	274 0.9×	128 0.5×	65 0.5×	67 0.5×	148 1.5×	39	776
Arvind Ravi	301 0.9×	114 0.4×	96 0.7×	59 0.5×	78 0.8×	22	706
David W. Pumplin	379 1.2×	160 0.6×	65 0.5×	155 1.2×	55 0.6×	23	835
Beata Styp‐Rekowska	362 1.1×	105 0.4×	196 1.5×	63 0.5×	88 0.9×	19	738
M S Mooseker	418 1.3×	378 1.4×	53 0.4×	58 0.5×	83 0.8×	11	820
Sophie Féréol	125 0.4×	355 1.3×	99 0.8×	227 1.8×	45 0.5×	17	632

Countries citing papers authored by Katharine Goodwin

Since Specialization

Citations

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

Fields of papers citing papers by Katharine Goodwin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katharine Goodwin

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