Katherine Young

2.8k citations
49 papers · 1.9k indexed · 1 hit paper · h-index 20
Topics
Prion Diseases and Protein Misfolding (9 papers)Natural Language Processing Techniques (8 papers)Topic Modeling (7 papers)

In The Last Decade

Katherine Young

48 papers receiving 1.9k citations

Hit Papers

Molecular basis of phenotypic variability in sporadc creu...19962026200620161996200400600

Peers

Katherine Young
Comparison fields: 5 of 113
  • Molecular Biology 1.2k
  • Neurology 605
  • Nutrition and Dietetics 357
  • Infectious Diseases 236
  • Developmental and Educational Psychology 151
Replace David Peretz with:
David Peretz United States
Francesca Sironi Italy
Junko Matsuzaki United States
Rebecca Wright United States
Phoebe Lin United States
Rita M. Tavares United States
Tim Self United Kingdom
E. Duvall United Kingdom
Jason M. Doherty United States
Keiko Tanaka Japan
Katherine Young relative to David Peretz United States David Peretz's profile →
Citations per field
00.5×11.6×
David Peretz · 1×
Citations per year

Countries citing papers authored by Katherine Young

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Young

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Young. A scholar is included among the top collaborators of Katherine Young 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 Young. Katherine Young 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 7
3 2
4 29
5 6
6 26
7 8
8 43
9 1
10 7
11 37
12 7
13
A Taxonomy of Weeds: A Field Guide for Corpus Curators to Winnowing the Parallel Text Harvest.
1
14 54
15 79
16 160
17 68
18
Molecular basis of phenotypic variability in sporadc creudeldt‐jakob diseasebreakdown →
638
19 148
20 22

About Katherine Young

Katherine Young is a scholar working on Neurology, Microbiology and Cell Biology, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (9 papers), Natural Language Processing Techniques (8 papers) and Topic Modeling (7 papers). The work is most often cited by research in Neurology (605 citations), Nutrition and Dietetics (357 citations) and Microbiology (135 citations). Katherine Young has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Bernardino Ghetti, Martin R. Farlow, Dennis W. Dickson, Anders A. F. Sima, John Q. Trojanowski, Pierluigi Gambetti, Shu G. Chen, Rudolph J. Castellani, Piero Parchi and Robert B. Petersen. Their work appears in journals such as PLoS ONE, Molecular and Cellular Biology and Neurology.

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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