Katherine Gowan

4.7k citations
32 papers · 2.2k indexed · h-index 21
Topics
Atherosclerosis and Cardiovascular Diseases (6 papers)Diabetes and associated disorders (4 papers)Cardiomyopathy and Myosin Studies (4 papers)

In The Last Decade

Katherine Gowan

32 papers receiving 2.1k citations

Peers

Katherine Gowan
Comparison fields: 5 of 100
  • Molecular Biology 1.2k
  • Immunology 657
  • Cell Biology 544
  • Pulmonary and Respiratory Medicine 274
  • Cancer Research 237
Replace J N Wilcox with:
J N Wilcox United States
Barry J. Dussault United States
Tomáš Valenta Switzerland
Izumi Negishi Japan
Paul Kiefer Germany
Thomas J. Hornyak United States
Karni Schlessinger United States
Enzo Calautti United States
Kiyomi Mizugishi Japan
Jacob Zhurinsky Israel
Katherine Gowan relative to J N Wilcox United States J N Wilcox's profile →
Citations per field
00.5×10×12.6×
J N Wilcox · 1×
Citations per year

Countries citing papers authored by Katherine Gowan

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Gowan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Gowan

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 179
3 119
4 46
5 1
6 20
7 59
8 10
9 2
10 38
11 16
12 24
13 32
14 61
15 3
16 76
17 15
18 61
19 46
20 44

About Katherine Gowan

Katherine Gowan is a scholar working on Immunology, Genetics and Molecular Biology, having authored 32 papers that have together received 2.2k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (6 papers), Diabetes and associated disorders (4 papers) and Cardiomyopathy and Myosin Studies (4 papers). The work is most often cited by research in Developmental Neuroscience (141 citations), Cell Biology (544 citations) and Immunology (657 citations). Katherine Gowan has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Pamela R. Fain, Richard A. Spritz, Christina M. Mailloux, Greggory S. LaBerge, Dorothy C. Bennett, Ying Jin, Sheri L. Riccardi, Jane E. Johnson, Amy W. Helms and Paulene J. Holland. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Neuron.

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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