Christopher Hickey

1.4k total citations
10 papers, 111 citations indexed

About

Christopher Hickey is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Christopher Hickey has authored 10 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Hematology and 2 papers in Oncology. Recurrent topics in Christopher Hickey's work include RNA modifications and cancer (3 papers), Acute Myeloid Leukemia Research (3 papers) and Histone Deacetylase Inhibitors Research (2 papers). Christopher Hickey is often cited by papers focused on RNA modifications and cancer (3 papers), Acute Myeloid Leukemia Research (3 papers) and Histone Deacetylase Inhibitors Research (2 papers). Christopher Hickey collaborates with scholars based in United States and Germany. Christopher Hickey's co-authors include E. Ahn, Jung‐Hyun Kim, Guido Marcucci, Michael A. Caligiuri, Houda Alachkar, Ramasamy Santhanam, Danilo Perrotti, Ramiro Garzon, John C. Byrd and A. Douglas Kinghorn and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Christopher Hickey

10 papers receiving 111 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Hickey United States 5 84 31 15 13 13 10 111
Sasi Arunachalam United States 6 48 0.6× 25 0.8× 10 0.7× 19 1.5× 25 1.9× 11 93
Timothy Hagan United States 3 52 0.6× 20 0.6× 8 0.5× 26 2.0× 15 1.2× 5 96
Luc de Waal United States 3 134 1.6× 28 0.9× 35 2.3× 11 0.8× 4 0.3× 5 151
Ana P. Kutschat United States 7 98 1.2× 17 0.5× 8 0.5× 25 1.9× 13 1.0× 9 134
Matthew Myers United States 6 55 0.7× 47 1.5× 12 0.8× 13 1.0× 17 1.3× 8 78
Christopher J. Yoon United States 5 50 0.6× 25 0.8× 19 1.3× 10 0.8× 9 0.7× 8 76
Satyajit Rajapurkar United States 4 149 1.8× 18 0.6× 35 2.3× 11 0.8× 24 1.8× 4 188
Manuela Romano France 2 77 0.9× 28 0.9× 17 1.1× 6 0.5× 8 0.6× 2 119
Konstanze Doehner Germany 4 68 0.8× 12 0.4× 41 2.7× 18 1.4× 4 0.3× 14 101
Samuel Pevzner United States 2 77 0.9× 11 0.4× 43 2.9× 7 0.5× 11 0.8× 4 103

Countries citing papers authored by Christopher Hickey

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Hickey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Hickey

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

All Works

10 of 10 papers shown
1.
Maharaj, Dipnarine, et al.. (2021). Clinical Remission Using Personalized Low-Dose Intravenous Infusions of N-acetylcysteine with Minimal Toxicities for Interstitial Cystitis/Bladder Pain Syndrome. Journal of Personalized Medicine. 11(5). 342–342. 2 indexed citations
2.
Hickey, Christopher, et al.. (2019). Design, assessment, and the causal imperative in complex operations and campaigns. The Journal of Defense Modeling and Simulation Applications Methodology Technology. 16(4). 265–276. 2 indexed citations
3.
4.
Hickey, Christopher, Jung‐Hyun Kim, & E. Ahn. (2013). New Discoveries of Old SON: A Link Between RNA Splicing and Cancer. Journal of Cellular Biochemistry. 115(2). 224–231. 15 indexed citations
5.
Alachkar, Houda, Ramasamy Santhanam, Jason G. Harb, et al.. (2013). Silvestrol exhibits significant in vivo and in vitro antileukemic activities and inhibits FLT3 and miR-155 expressions in acute myeloid leukemia. Journal of Hematology & Oncology. 6(1). 21–21. 47 indexed citations
6.
Ahn, E., Tsunehito Higashi, Ming Yan, et al.. (2013). SON Protein Regulates GATA-2 through Transcriptional Control of the MicroRNA 23a∼27a∼24-2 Cluster*. Journal of Biological Chemistry. 288(8). 5381–5388. 27 indexed citations
7.
Huang, Xiaomeng, Sebastian Schwind, Ann‐Kathrin Eisfeld, et al.. (2012). Therapeutic Targeting of the RAS-Pathway by Synthetic Mir-181a Nanoparticles in Acute Myeloid Leukemia (AML).. Blood. 120(21). 2422–2422. 1 indexed citations
8.
Liu, Shujun, Kevin V. Hackshaw, Carl E. Allen, et al.. (2011). The Large Zinc Finger Protein ZAS3 Is a Critical Modulator of Osteoclastogenesis. PLoS ONE. 6(3). e17161–e17161. 8 indexed citations
9.
10.
Hickey, Christopher, Sebastian Schwind, Heiko Becker, et al.. (2009). MicroRNA-181a Targets TEL/AML1 Expression and Impairs Cell Proliferation in t(12;21) Acute Lymphocytic Leukemia (ALL) Cells.. Blood. 114(22). 766–766. 5 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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