Khrystyna North

825 total citations
9 papers, 162 citations indexed

About

Khrystyna North is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Khrystyna North has authored 9 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Hematology and 2 papers in Genetics. Recurrent topics in Khrystyna North's work include Acute Myeloid Leukemia Research (4 papers), Cancer Genomics and Diagnostics (2 papers) and RNA Research and Splicing (2 papers). Khrystyna North is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Cancer Genomics and Diagnostics (2 papers) and RNA Research and Splicing (2 papers). Khrystyna North collaborates with scholars based in United States, South Africa and South Korea. Khrystyna North's co-authors include Robert K. Bradley, Omar Abdel‐Wahab, Joseph Pangallo, Bo Liu, Salima Benbarche, Trevor Bedford, Arvind R. Subramaniam, Justin Taylor, Jacob T. Polaski and Eun Hee Kim and has published in prestigious journals such as Blood, Nature Biotechnology and Cancer Research.

In The Last Decade

Khrystyna North

9 papers receiving 161 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khrystyna North United States 5 118 58 35 20 17 9 162
Pasit Phiasivongsa United States 4 176 1.5× 50 0.9× 29 0.8× 16 0.8× 13 0.8× 6 214
Zachary S. Bohannan United States 7 85 0.7× 68 1.2× 19 0.5× 21 1.1× 17 1.0× 13 142
Anne-Kathrin Garz Germany 4 126 1.1× 93 1.6× 30 0.9× 15 0.8× 10 0.6× 5 167
Mario Nicola Australia 5 175 1.5× 80 1.4× 30 0.9× 13 0.7× 39 2.3× 9 238
Yuki Kagiyama Japan 7 126 1.1× 70 1.2× 24 0.7× 22 1.1× 15 0.9× 10 202
Anna Palau Spain 5 179 1.5× 83 1.4× 13 0.4× 23 1.1× 14 0.8× 8 214
Fabio M. R. Amaral United Kingdom 8 228 1.9× 82 1.4× 17 0.5× 28 1.4× 38 2.2× 19 273
Anna V. Senina United States 5 98 0.8× 33 0.6× 45 1.3× 48 2.4× 27 1.6× 13 157
David Szeto United States 5 63 0.5× 77 1.3× 53 1.5× 39 1.9× 37 2.2× 6 174
Aneta Mikulášová United Kingdom 7 164 1.4× 127 2.2× 27 0.8× 29 1.4× 36 2.1× 24 205

Countries citing papers authored by Khrystyna North

Since Specialization
Citations

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

Fields of papers citing papers by Khrystyna North

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khrystyna North

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

All Works

9 of 9 papers shown
1.
Jovanović, Bojana, S. Church, Khrystyna North, et al.. (2024). Integrative Multiomic Profiling of Triple-Negative Breast Cancer for Identifying Suitable Therapies. Clinical Cancer Research. 30(20). 4768–4779. 3 indexed citations
2.
North, Khrystyna, Salima Benbarche, Bo Liu, et al.. (2022). Synthetic introns enable splicing factor mutation-dependent targeting of cancer cells. Nature Biotechnology. 40(7). 1103–1113. 38 indexed citations
3.
Zou, Luli S., Patrick Danaher, Michael J. Raabe, et al.. (2022). Abstract C038: Repeat RNA dysregulation of cellular states in the pancreatic cancer microenvironment. Cancer Research. 82(22_Supplement). C038–C038. 1 indexed citations
4.
Clough, Courtnee, Joseph Pangallo, Janine O. Ilagan, et al.. (2021). Coordinated missplicing of TMEM14C and ABCB7 causes ring sideroblast formation in SF3B1-mutant myelodysplastic syndrome. Blood. 139(13). 2038–2049. 45 indexed citations
5.
Pangallo, Joseph, Jean‐Jacques Kiladjian, Bruno Cassinat, et al.. (2020). Rare and private spliceosomal gene mutations drive partial, complete, and dual phenocopies of hotspot alterations. Blood. 135(13). 1032–1043. 11 indexed citations
6.
Taylor, Justin, Xiaoli Mi, Khrystyna North, et al.. (2020). Single-cell genomics reveals the genetic and molecular bases for escape from mutational epistasis in myeloid neoplasms. Blood. 136(13). 1477–1486. 38 indexed citations
7.
Hilton, Sarah K., John Huddleston, Allison Black, et al.. (2020). dms-view: Interactive visualization tool for deep mutational scanning data. The Journal of Open Source Software. 5(52). 2353–2353. 23 indexed citations
8.
Inoue, Daichi, Guo-Liang Chew, Bo Liu, et al.. (2019). Spliceosomal Disruption of the Non-Canonical SWI/SNF Chromatin Remodeling Complex in SF3B1 Mutant Leukemias. Blood. 134(Supplement_1). 637–637. 2 indexed citations
9.
Lee, Stanley Chun-Wei, Khrystyna North, Chi-Chao Chen, et al.. (2018). Dependency of Spliceosomal Mutant MDS on Innate Immune Signaling. Blood. 132(Supplement 1). 937–937. 1 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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