Kristy Miskimen

996 total citations
31 papers, 634 citations indexed

About

Kristy Miskimen is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Kristy Miskimen has authored 31 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Oncology and 7 papers in Genetics. Recurrent topics in Kristy Miskimen's work include Ubiquitin and proteasome pathways (4 papers), HER2/EGFR in Cancer Research (4 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Kristy Miskimen is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), HER2/EGFR in Cancer Research (4 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Kristy Miskimen collaborates with scholars based in United States, Austria and China. Kristy Miskimen's co-authors include Mark W. Jackson, Benjamin L. Bryson, Rocky Cipriano, Courtney A. Bartel, Lyndsay N. Harris, Hannah Gilmore, Sarah Scott, Ronald C. Bruntz, H. Alex Brown and Kevin D. Bunting and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Blood.

In The Last Decade

Kristy Miskimen

29 papers receiving 630 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kristy Miskimen United States 13 392 262 208 114 83 31 634
Changwen Jing China 15 301 0.8× 154 0.6× 275 1.3× 143 1.3× 54 0.7× 32 582
Allen Saliganan United States 12 263 0.7× 275 1.0× 181 0.9× 202 1.8× 74 0.9× 14 605
М. В. Немцова Russia 15 556 1.4× 183 0.7× 266 1.3× 105 0.9× 69 0.8× 93 885
James R. Hernandez United States 10 379 1.0× 241 0.9× 186 0.9× 86 0.8× 142 1.7× 15 678
Ginés Luengo‐Gil Spain 14 284 0.7× 247 0.9× 192 0.9× 71 0.6× 149 1.8× 35 644
Manjiri M. Bakre India 14 515 1.3× 199 0.8× 205 1.0× 71 0.6× 77 0.9× 32 822
Zaletaev Dv Russia 12 435 1.1× 154 0.6× 201 1.0× 79 0.7× 56 0.7× 93 674
Mathilde Romagnoli France 15 361 0.9× 226 0.9× 161 0.8× 52 0.5× 81 1.0× 24 584
Qingqing Ding United States 10 406 1.0× 350 1.3× 106 0.5× 133 1.2× 108 1.3× 34 732
Matias Casás‐Selves United States 8 350 0.9× 175 0.7× 126 0.6× 71 0.6× 75 0.9× 9 549

Countries citing papers authored by Kristy Miskimen

Since Specialization
Citations

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

Fields of papers citing papers by Kristy Miskimen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristy Miskimen

This figure shows the co-authorship network connecting the top 25 collaborators of Kristy Miskimen. A scholar is included among the top collaborators of Kristy Miskimen 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 Kristy Miskimen. Kristy Miskimen 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.
Alter, Orly, Jessica W. Tsai, Penelope Miron, et al.. (2024). Prospective validation from a retrospective trial that validated an AI/ML-derived whole-genome biomarker as the most accurate and precise predictor of survival and response to treatment in glioblastoma.. Journal of Clinical Oncology. 42(16_suppl). e14028–e14028. 1 indexed citations
2.
Lynn, Audrey, Kristy Miskimen, Yeunjoo E. Song, et al.. (2024). Genome‐wide association studies identify novel loci in rapidly progressive Alzheimer's disease. Alzheimer s & Dementia. 20(3). 2034–2046. 5 indexed citations
3.
Miron, Penelope, Kristy Miskimen, Kristin Waite, et al.. (2023). AI/ML-Derived Whole-Genome Predictor Prospectively and Clinically Predicts Survival and Response to Treatment in Brain Cancer. 117–118. 1 indexed citations
4.
Miskimen, Kristy & Penelope Miron. (2023). Isolation of Genomic DNA from Mammalian Cells and Fixed Tissue. Current Protocols. 3(7). e818–e818. 1 indexed citations
5.
Miskimen, Kristy, Yeunjoo E. Song, Michelle Grunin, et al.. (2022). Consequences of a Rare Complement Factor H Variant for Age-Related Macular Degeneration in the Amish. Investigative Ophthalmology & Visual Science. 63(9). 8–8.
6.
Liu, Shiying, William S. Bush, Kristy Miskimen, et al.. (2022). T-cell receptor diversity in minimal change disease in the NEPTUNE study. Pediatric Nephrology. 38(4). 1115–1126.
7.
Parameswaran, Neetha, Courtney A. Bartel, Kristy Miskimen, et al.. (2019). A FAM83A Positive Feed-back Loop Drives Survival and Tumorigenicity of Pancreatic Ductal Adenocarcinomas. Scientific Reports. 9(1). 13396–13396. 28 indexed citations
8.
Harbhajanka, Aparna, Kristy Miskimen, Paula Silverman, et al.. (2018). Clinicopathological, immunohistochemical and molecular correlation of neural crest transcription factor SOX10 expression in triple-negative breast carcinoma. Human Pathology. 80. 163–169. 27 indexed citations
9.
Crawford, Dana C., Jessica N. Cooke Bailey, Kristy Miskimen, et al.. (2018). Somatic T-cell Receptor Diversity in a Chronic Kidney Disease PatientPopulation Linked to Electronic Health Records.. PubMed. 2017. 63–71. 5 indexed citations
10.
Varadan, Vinay, Hannah Gilmore, Kristy Miskimen, et al.. (2016). Immune Signatures Following Single Dose Trastuzumab Predict Pathologic Response to PreoperativeTrastuzumab and Chemotherapy in HER2-Positive Early Breast Cancer. Clinical Cancer Research. 22(13). 3249–3259. 75 indexed citations
11.
Merry, Callie R., Sarah McMahon, Cheryl L. Thompson, et al.. (2015). Integrative transcriptome-wide analyses reveal critical HER2-regulated mRNAs and lincRNAs in HER2+ breast cancer. Breast Cancer Research and Treatment. 150(2). 321–334. 16 indexed citations
12.
Varadan, Vinay, Sitharthan Kamalakaran, Hannah Gilmore, et al.. (2015). Brief‐exposure to preoperative bevacizumab reveals a TGF‐β signature predictive of response in HER2‐negative breast cancers. International Journal of Cancer. 138(3). 747–757. 14 indexed citations
13.
Baslan, Timour, Jude Kendall, Brian Ward, et al.. (2015). Optimizing sparse sequencing of single cells for highly multiplex copy number profiling. Genome Research. 25(5). 714–724. 86 indexed citations
14.
Cipriano, Rocky, et al.. (2014). Conserved Oncogenic Behavior of the FAM83 Family Regulates MAPK Signaling in Human Cancer. Molecular Cancer Research. 12(8). 1156–1165. 90 indexed citations
16.
Cipriano, Rocky, Benjamin L. Bryson, Kristy Miskimen, et al.. (2013). Hyperactivation of EGFR and downstream effector phospholipase D1 by oncogenic FAM83B. Oncogene. 33(25). 3298–3306. 32 indexed citations
17.
Cipriano, Rocky, James Graham, Kristy Miskimen, et al.. (2012). FAM83B mediates EGFR- and RAS-driven oncogenic transformation. Journal of Clinical Investigation. 122(9). 3197–3210. 78 indexed citations
18.
Li, Guobing�, Kristy Miskimen, William Ka Fai Tse, et al.. (2010). Effective targeting of STAT5-mediated survival in myeloproliferative neoplasms using ABT-737 combined with rapamycin. Leukemia. 24(8). 1397–1405. 24 indexed citations
19.
Li, Geqiang, Zhengqi Wang, Kristy Miskimen, et al.. (2010). Gab2 Promotes Hematopoietic Stem Cell Maintenance and Self-Renewal Synergistically with STAT5. PLoS ONE. 5(2). e9152–e9152. 11 indexed citations
20.
Li, Geqiang, Kristy Miskimen, Zhengqi Wang, et al.. (2009). STAT5 Requires the N-Domain for Suppression of miR15/16, Induction of Bcl-2, and Survival Signaling in Myeloproliferative Disease.. Blood. 114(22). 211–211. 2 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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