Kilannin Krysiak

4.1k total citations
26 papers, 794 citations indexed

About

Kilannin Krysiak is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Kilannin Krysiak has authored 26 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Genetics. Recurrent topics in Kilannin Krysiak's work include Genomics and Rare Diseases (6 papers), Cancer Genomics and Diagnostics (6 papers) and Lymphoma Diagnosis and Treatment (4 papers). Kilannin Krysiak is often cited by papers focused on Genomics and Rare Diseases (6 papers), Cancer Genomics and Diagnostics (6 papers) and Lymphoma Diagnosis and Treatment (4 papers). Kilannin Krysiak collaborates with scholars based in United States, Canada and Malaysia. Kilannin Krysiak's co-authors include Malachi Griffith, Obi L. Griffith, Zachary L. Skidmore, Katie M. Campbell, Elaine R. Mardis, Nicholas C. Spies, Jason Walker, Richard K. Wilson, Alex H. Wagner and Adam Coffman and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Blood.

In The Last Decade

Kilannin Krysiak

22 papers receiving 790 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kilannin Krysiak United States 13 371 240 228 126 115 26 794
Jeffrey L. Hirsch United States 11 372 1.0× 314 1.3× 80 0.4× 128 1.0× 75 0.7× 12 1.0k
B. Belinda Ding United States 7 538 1.5× 273 1.1× 199 0.9× 110 0.9× 148 1.3× 11 1.0k
Giovanni Roti Italy 23 823 2.2× 312 1.3× 133 0.6× 212 1.7× 159 1.4× 57 1.5k
Silvia Rita Vitale Italy 16 429 1.2× 251 1.0× 122 0.5× 163 1.3× 333 2.9× 46 978
Christian Haslinger Austria 9 775 2.1× 308 1.3× 113 0.5× 36 0.3× 161 1.4× 15 1.1k
Yoko Ueno Japan 13 901 2.4× 377 1.6× 150 0.7× 162 1.3× 123 1.1× 19 1.4k
Hiroshi Sootome Japan 8 808 2.2× 266 1.1× 129 0.6× 68 0.5× 120 1.0× 27 1.0k
Kristina West United States 9 646 1.7× 187 0.8× 80 0.4× 87 0.7× 68 0.6× 12 819
Mark Fereshteh United States 9 1.0k 2.8× 445 1.9× 113 0.5× 178 1.4× 111 1.0× 18 1.4k
Sean Caenepeel United States 16 817 2.2× 433 1.8× 99 0.4× 74 0.6× 145 1.3× 22 1.3k

Countries citing papers authored by Kilannin Krysiak

Since Specialization
Citations

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

Fields of papers citing papers by Kilannin Krysiak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kilannin Krysiak

This figure shows the co-authorship network connecting the top 25 collaborators of Kilannin Krysiak. A scholar is included among the top collaborators of Kilannin Krysiak 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 Kilannin Krysiak. Kilannin Krysiak 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
2.
Bowling, Kevin M., Alexa Dickson, Molly C. Schroeder, et al.. (2024). Modified Rules for Classification of Variants Associated With Disorders of Somatic Mosaicism. Clinical Genetics. 107(3). 261–270. 3 indexed citations
3.
Ghasemi, Reza, Kevin M. Bowling, Kilannin Krysiak, et al.. (2024). Comprehensive Analysis of TEK Variants in Patients With Vascular Malformations. Clinical Genetics. 107(4). 458–462.
4.
Dalton, Karen, Heidi L. Rehm, Matt W. Wright, et al.. (2022). Accessing clinical-grade genomic classification data through the ClinGen Data Platform. PubMed. 28. 531–535.
5.
Skidmore, Zachary L., Jason Kunisaki, Yiing Lin, et al.. (2022). Genomic and transcriptomic somatic alterations of hepatocellular carcinoma in non-cirrhotic livers. Cancer Genetics. 264-265. 90–99. 6 indexed citations
6.
Ward, Jeffrey P., Melissa M. Berrien-Elliott, Felicia Gomez, et al.. (2021). Phase 1/dose expansion trial of brentuximab vedotin and lenalidomide in relapsed or refractory diffuse large B-cell lymphoma. Blood. 139(13). 1999–2010. 23 indexed citations
7.
Wagner, Alex H., Susanna Kiwala, Adam Coffman, et al.. (2020). CIViCpy: A Python Software Development and Analysis Toolkit for the CIViC Knowledgebase. JCO Clinical Cancer Informatics. 4(4). 245–253. 4 indexed citations
8.
Barnell, Erica K., Adam Waalkes, Kelsi Penewit, et al.. (2019). Open-Sourced CIViC Annotation Pipeline to Identify and Annotate Clinically Relevant Variants Using Single-Molecule Molecular Inversion Probes. JCO Clinical Cancer Informatics. 3(3). 1–12. 6 indexed citations
9.
Campbell, Katie M., Kathleen A. O’Leary, Debra E. Rugowski, et al.. (2019). A Spontaneous Aggressive ERα+ Mammary Tumor Model Is Driven by Kras Activation. Cell Reports. 28(6). 1526–1537.e4. 20 indexed citations
10.
Lever, Jake, Martin Jones, Arpad Danos, et al.. (2019). Text-mining clinically relevant cancer biomarkers for curation into the CIViC database. Genome Medicine. 11(1). 78–78. 25 indexed citations
11.
Danos, Arpad, Deborah Ritter, Alex H. Wagner, et al.. (2018). Adapting crowdsourced clinical cancer curation in CIViC to the ClinGen minimum variant level data community‐driven standards. Human Mutation. 39(11). 1721–1732. 12 indexed citations
12.
Bartlett, Nancy L., Brian A. Costello, Betsy LaPlant, et al.. (2017). Single-agent ibrutinib in relapsed or refractory follicular lymphoma: a phase 2 consortium trial. Blood. 131(2). 182–190. 110 indexed citations
13.
Whyte, Michael P., Malachi Griffith, Lee Trani, et al.. (2017). Melorheostosis: Exome sequencing of an associated dermatosis implicates postzygotic mosaicism of mutated KRAS. Bone. 101. 145–155. 30 indexed citations
14.
Liu, Tuoen, Kilannin Krysiak, Cara Lunn Shirai, et al.. (2017). Knockdown of HSPA9 induces TP53-dependent apoptosis in human hematopoietic progenitor cells. PLoS ONE. 12(2). e0170470–e0170470. 24 indexed citations
15.
Krysiak, Kilannin, Felicia Gomez, Brian S. White, et al.. (2016). Recurrent somatic mutations affecting B-cell receptor signaling pathway genes in follicular lymphoma. Blood. 129(4). 473–483. 110 indexed citations
16.
Wagner, Alex H., Adam Coffman, Benjamin J. Ainscough, et al.. (2015). DGIdb 2.0: mining clinically relevant drug–gene interactions. Nucleic Acids Research. 44(D1). D1036–D1044. 262 indexed citations
17.
Fehniger, Todd A., Kilannin Krysiak, Brian S. White, et al.. (2015). Recurrent Somatic Genomic Alterations in Follicular NHL (FL) Revealed By Exome and Custom-Capture Next Generation Sequencing. Blood. 126(23). 574–574. 2 indexed citations
18.
Krysiak, Kilannin, Justin Tibbitts, Jin Shao, et al.. (2014). Reduced levels of Hspa9 attenuate Stat5 activation in mouse B cells. Experimental Hematology. 43(4). 319–330.e10. 13 indexed citations
19.
Zhang, Yonghui, Rong Cao, Fenglin Yin, et al.. (2009). Lipophilic Pyridinium Bisphosphonates: Potent γδ T Cell Stimulators. Angewandte Chemie International Edition. 49(6). 1136–1138. 60 indexed citations
20.
Song, Yongcheng, Julian M. W. Chan, Aaron M. Secrest, et al.. (2008). Bisphosphonate inhibitors of ATP-mediated HIV-1 reverse transcriptase catalyzed excision of chain-terminating 3′-azido, 3′-deoxythymidine: A QSAR investigation. Bioorganic & Medicinal Chemistry. 16(19). 8959–8967. 19 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026