Katherine Fu

2.7k citations
30 papers · 2.0k indexed · h-index 18
Topics
Hedgehog Signaling Pathway Studies (10 papers)dental development and anomalies (10 papers)Wnt/β-catenin signaling in development and cancer (7 papers)

In The Last Decade

Katherine Fu

28 papers receiving 1.9k citations

Peers

Katherine Fu
Comparison fields: 5 of 97
  • Molecular Biology 1.7k
  • Clinical Biochemistry 624
  • Genetics 446
  • Cellular and Molecular Neuroscience 108
  • Rheumatology 88
Replace Wilbur R. Harrison with:
Wilbur R. Harrison United States
Vincenzo Zappavigna Italy
Kristin Artinger United States
Richard E. Giles United States
Hidefumi Yoshioka Japan
Giorgio Bernardi France
Angela Maria Vianna‐Morgante Brazil
A. Faiella Italy
Amanda Smith Canada
A. Glücksmann United Kingdom
Katherine Fu relative to Wilbur R. Harrison United States Wilbur R. Harrison's profile →
Citations per field
00.5×10×12.7×
Wilbur R. Harrison · 1×
Citations per year

Countries citing papers authored by Katherine Fu

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Fu. A scholar is included among the top collaborators of Katherine Fu 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 Fu. Katherine Fu 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 0
2 5
3 7
4 5
5 19
6 28
7 52
8 9
9 15
10 18
11 62
12 84
13 82
14 80
15 33
16 474
17 445
18 127
19 12
20 55

About Katherine Fu

Katherine Fu is a scholar working on Molecular Biology, Immunology and Allergy and Genetics, having authored 30 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (10 papers), dental development and anomalies (10 papers) and Wnt/β-catenin signaling in development and cancer (7 papers). The work is most often cited by research in Clinical Biochemistry (624 citations), Molecular Biology (1.7k citations) and Genetics (446 citations). Katherine Fu has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Eric A. Shoubridge, Joy M. Richman, Jack P. Jenuth, Alan C. Peterson, Amir M. Ashique, Marcela Buchtová, Carol Macmillan, Timothy Johns, Suresh Nimmagadda and Poongodi Geetha‐Loganathan. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and Development.

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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