Katherine Young

2.8k total citations · 1 hit paper
49 papers, 1.9k citations indexed

About

Katherine Young is a scholar working on Molecular Biology, Artificial Intelligence and Cell Biology. According to data from OpenAlex, Katherine Young has authored 49 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Artificial Intelligence and 7 papers in Cell Biology. Recurrent topics in Katherine Young's work include Prion Diseases and Protein Misfolding (9 papers), Natural Language Processing Techniques (8 papers) and Topic Modeling (7 papers). Katherine Young is often cited by papers focused on Prion Diseases and Protein Misfolding (9 papers), Natural Language Processing Techniques (8 papers) and Topic Modeling (7 papers). Katherine Young collaborates with scholars based in United States, Italy and United Kingdom. Katherine Young's 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 and has published in prestigious journals such as PLoS ONE, Molecular and Cellular Biology and Neurology.

In The Last Decade

Katherine Young

48 papers receiving 1.9k citations

Hit Papers

Molecular basis of phenotypic variability in sporadc creu... 1996 2026 2006 2016 1996 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Katherine Young United States 20 1.2k 605 357 236 151 49 1.9k
David Peretz United States 30 2.9k 2.5× 1.2k 2.0× 1.1k 3.0× 93 0.4× 13 0.1× 62 3.8k
Rebecca Wright United States 24 416 0.4× 116 0.2× 24 0.1× 145 0.6× 55 0.4× 55 2.3k
Nancy Sullivan United States 23 1.1k 1.0× 217 0.4× 29 0.1× 1.7k 7.3× 27 0.2× 30 6.3k
Francesca Sironi Italy 21 421 0.4× 139 0.2× 54 0.2× 346 1.5× 5 0.0× 41 1.3k
Phoebe Lin United States 31 820 0.7× 34 0.1× 35 0.1× 115 0.5× 65 0.4× 101 3.0k
Carolyn A. Doyle United States 24 803 0.7× 40 0.1× 38 0.1× 245 1.0× 18 0.1× 48 3.2k
Rita M. Tavares United States 9 595 0.5× 209 0.3× 36 0.1× 35 0.1× 40 0.3× 9 1.7k
Tim Self United Kingdom 21 1.1k 1.0× 220 0.4× 96 0.3× 81 0.3× 2 0.0× 27 2.0k
Jason M. Doherty United States 20 891 0.8× 50 0.1× 54 0.2× 98 0.4× 31 0.2× 38 3.0k
Janice Lee United States 19 563 0.5× 120 0.2× 16 0.0× 112 0.5× 10 0.1× 58 1.5k

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
1.
Young, Katherine, et al.. (2025). A Mechanometabolism Toolbox for Studying Cell Migration. Cold Spring Harbor Perspectives in Biology. a041755–a041755.
2.
Young, Katherine, et al.. (2023). Correlating mechanical and gene expression data on the single cell level to investigate metastatic phenotypes. iScience. 26(4). 106393–106393. 7 indexed citations
3.
Xu, Wenwei, et al.. (2023). Strain-dependent elastography of cancer cells reveals heterogeneity and stiffening due to attachment. Journal of Biomechanics. 150. 111479–111479. 2 indexed citations
4.
Young, Katherine & Cynthia A. Reinhart‐King. (2023). Cellular mechanosignaling for sensing and transducing matrix rigidity. Current Opinion in Cell Biology. 83. 102208–102208. 29 indexed citations
5.
Zou, Yong, Sanja Antic, Katherine Young, et al.. (2023). Cancer-associated fibroblasts in early-stage lung adenocarcinoma correlate with tumor aggressiveness. Scientific Reports. 13(1). 17604–17604. 6 indexed citations
6.
Wang, Wenjun, Paul Taufalele, Katherine Young, et al.. (2022). Diabetic hyperglycemia promotes primary tumor progression through glycation-induced tumor extracellular matrix stiffening. Science Advances. 8(46). eabo1673–eabo1673. 26 indexed citations
7.
Raj, Abhishek, Katherine Young, Adam P. DeLuca, et al.. (2021). Label-free microfluidic enrichment of cancer cells from non-cancer cells in ascites. Scientific Reports. 11(1). 18032–18032. 8 indexed citations
8.
Li, Guorong, Chan-Young Lee, A. Thomas Read, et al.. (2021). Anti-fibrotic activity of a rho-kinase inhibitor restores outflow function and intraocular pressure homeostasis. eLife. 10. 43 indexed citations
9.
Young, Katherine, et al.. (2020). Correlating Mechanical and Gene Expression Data on the Single Cell Level to Investigate Metastasis. Biophysical Journal. 118(3). 189a–189a. 1 indexed citations
10.
Young, Katherine, et al.. (2020). Second to fourth digit ratio (2D:4D) is associated with dementia in women. Early Human Development. 149. 105152–105152. 7 indexed citations
11.
Ni, Fang, Wen‐Mei Yu, Xinyi Wang, et al.. (2019). Ptpn21 Controls Hematopoietic Stem Cell Homeostasis and Biomechanics. Cell stem cell. 24(4). 608–620.e6. 37 indexed citations
12.
Pilcher, William, et al.. (2018). Biomechanics of Endothelial Tubule Formation Differentially Modulated by Cerebral Cavernous Malformation Proteins. iScience. 9. 347–358. 7 indexed citations
13.
Young, Katherine, et al.. (2016). A Taxonomy of Weeds: A Field Guide for Corpus Curators to Winnowing the Parallel Text Harvest.. Conference of the Association for Machine Translation in the Americas. 355–370. 1 indexed citations
14.
Young, Katherine, Clive M. Gray, & Linda‐Gail Bekker. (2013). Is Obesity a Risk Factor for Vaccine Non-Responsiveness?. PLoS ONE. 8(12). e82779–e82779. 54 indexed citations
15.
Straten, Ariane van der, Elizabeth Montgomery, Helen Cheng, et al.. (2012). High Acceptability of a Vaginal Ring Intended as a Microbicide Delivery Method for HIV Prevention in African Women. AIDS and Behavior. 16(7). 1775–1786. 79 indexed citations
16.
Eason, Sarah H., et al.. (2012). Reader–text interactions: How differential text and question types influence cognitive skills needed for reading comprehension.. Journal of Educational Psychology. 104(3). 515–528. 160 indexed citations
17.
Piccardo, Pedro, Juris J. Liepnieks, Stephen R. Dlouhy, et al.. (2001). Prion Proteins with Different Conformations Accumulate in Gerstmann-Sträussler-Scheinker Disease Caused by A117V and F198S Mutations. American Journal Of Pathology. 158(6). 2201–2207. 68 indexed citations
18.
Parchi, Piero, Rudolph J. Castellani, Sabina Capellari, et al.. (1996). Molecular basis of phenotypic variability in sporadc creudeldt‐jakob disease. Annals of Neurology. 39(6). 767–778. 638 indexed citations breakdown →
19.
Ghetti, Bernardino, Pedro Piccardo, B Frangione, et al.. (1996). Prion Protein Amyloidosis. Brain Pathology. 6(2). 127–145. 148 indexed citations
20.
Young, Katherine, et al.. (1993). Otopalatodigital syndrome type II associated with omphalocele: Report of three cases. American Journal of Medical Genetics. 45(4). 481–487. 22 indexed citations

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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