Kenneth M. K. Mark

835 total citations
11 papers, 463 citations indexed

About

Kenneth M. K. Mark is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Kenneth M. K. Mark has authored 11 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Neurology. Recurrent topics in Kenneth M. K. Mark's work include Prion Diseases and Protein Misfolding (3 papers), Neurological diseases and metabolism (2 papers) and CRISPR and Genetic Engineering (2 papers). Kenneth M. K. Mark is often cited by papers focused on Prion Diseases and Protein Misfolding (3 papers), Neurological diseases and metabolism (2 papers) and CRISPR and Genetic Engineering (2 papers). Kenneth M. K. Mark collaborates with scholars based in United States, United Kingdom and China. Kenneth M. K. Mark's co-authors include Can Alkan, Evan E. Eichler, Megan Y. Dennis, Bradley P. Coe, Colin Campbell, Raphael Bernier, Santhosh Girirajan, Leslie G. Biesecker, Maika Malig and Ze Cheng and has published in prestigious journals such as Nature Methods, The American Journal of Human Genetics and PLoS Pathogens.

In The Last Decade

Kenneth M. K. Mark

11 papers receiving 457 citations

Peers

Kenneth M. K. Mark

MB

GENET

CN

PS

CR

N. Saran United States

J Peters United States

Qianzhi Shao China

Yongxia Huo China

Rebekah Brooks United States

М. В. Патрушев Russia

Marianna Zazhytska Ukraine

M. Cecilia López United States

Garilyn Jentarra United States

Fang Yu China

N. Saran United States

Kenneth M. K. Mark

284 ×1.0

MB

303 ×1.4

GENET

24 ×0.3

CN

45 ×0.6

PS

25 ×0.6

CR

Citations per year, relative to Kenneth M. K. Mark Kenneth M. K. Mark (= 1×) peers N. Saran

Countries citing papers authored by Kenneth M. K. Mark

Since Specialization

Citations

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

Fields of papers citing papers by Kenneth M. K. Mark

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth M. K. Mark. 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 Kenneth M. K. Mark. The network helps show where Kenneth M. K. Mark may publish in the future.

Co-authorship network of co-authors of Kenneth M. K. Mark

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

All Works

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11 of 11 papers shown

1.

Mark, Kenneth M. K., et al.. (2020). Emergence of prions selectively resistant to combination drug therapy. PLoS Pathogens. 16(5). e1008581–e1008581. 14 indexed citations

2.

Walsh, Daniel J., Kenneth M. K. Mark, Nathan R. Deleault, et al.. (2020). Cofactor and glycosylation preferences for in vitro prion conversion are predominantly determined by strain conformation. PLoS Pathogens. 16(4). e1008495–e1008495. 26 indexed citations

3.

Mark, Kenneth M. K., Daniel J. Walsh, Abigail B. Diack, et al.. (2020). Identification of a homology-independent linchpin domain controlling mouse and bank vole prion protein conversion. PLoS Pathogens. 16(9). e1008875–e1008875. 10 indexed citations

4.

Chidawanyika, Tamutenda, Kenneth M. K. Mark, & Surachai Supattapone. (2020). A Genome-Wide CRISPR/Cas9 Screen Reveals that Riboflavin Regulates Hydrogen Peroxide Entry into HAP1 Cells. mBio. 11(4). 11 indexed citations

5.

Chen, Youdinghuan, Yue Wang, Lucas A. Salas, et al.. (2019). Molecular and epigenetic profiles of BRCA1-like hormone-receptor-positive breast tumors identified with development and application of a copy-number-based classifier. Breast Cancer Research. 21(1). 14–14. 8 indexed citations

6.

Chidawanyika, Tamutenda, et al.. (2018). SEC24A identified as an essential mediator of thapsigargin-induced cell death in a genome-wide CRISPR/Cas9 screen. Cell Death Discovery. 4(1). 115–115. 14 indexed citations

7.

Beattie, Sarah R., Kenneth M. K. Mark, Arsa Thammahong, et al.. (2017). Filamentous fungal carbon catabolite repression supports metabolic plasticity and stress responses essential for disease progression. PLoS Pathogens. 13(4). e1006340–e1006340. 73 indexed citations

8.

Mark, Kenneth M. K., et al.. (2017). The E2F4 prognostic signature predicts pathological response to neoadjuvant chemotherapy in breast cancer patients. BMC Cancer. 17(1). 306–306. 12 indexed citations

9.

Wang, Yue, Kenneth M. K. Mark, Matthew Ung, et al.. (2016). Application of RNAi-induced gene expression profiles for prognostic prediction in breast cancer. Genome Medicine. 8(1). 114–114. 2 indexed citations

10.

Girirajan, Santhosh, Megan Y. Dennis, Carl Baker, et al.. (2013). Refinement and Discovery of New Hotspots of Copy-Number Variation Associated with Autism Spectrum Disorder. The American Journal of Human Genetics. 92(2). 221–237. 211 indexed citations

11.

Karakoç, Emre, Can Alkan, Brian J. O’Roak, et al.. (2011). Detection of structural variants and indels within exome data. Nature Methods. 9(2). 176–178. 82 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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