Jonathan Cooper

1.7k total citations
11 papers, 310 citations indexed

About

Jonathan Cooper is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Jonathan Cooper has authored 11 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 8 papers in Molecular Biology and 1 paper in Genetics. Recurrent topics in Jonathan Cooper's work include Acute Myeloid Leukemia Research (7 papers), Genomics and Chromatin Dynamics (4 papers) and Protein Degradation and Inhibitors (4 papers). Jonathan Cooper is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Genomics and Chromatin Dynamics (4 papers) and Protein Degradation and Inhibitors (4 papers). Jonathan Cooper collaborates with scholars based in United Kingdom, United States and Germany. Jonathan Cooper's co-authors include George S. Vassiliou, Robert Andrews, Roland Rad, Penny Wright, Mark J. Arends, Carolyn Grove, Allan Bradley, Peter Ellis, Lena Rad and Wei Wang and has published in prestigious journals such as Nature Communications, Nature Genetics and Blood.

In The Last Decade

Jonathan Cooper

11 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Cooper United Kingdom	7	247	181	51	37	33	11	310
Gue Su Chang United States	8	196 0.8×	120 0.7×	47 0.9×	41 1.1×	41 1.2×	13	288
Federica Mezzasoma Italy	7	332 1.3×	272 1.5×	24 0.5×	30 0.8×	39 1.2×	10	398
Andy G.X. Zeng Canada	6	132 0.5×	140 0.8×	47 0.9×	35 0.9×	23 0.7×	16	230
Jutta Ortiz-Tánchez Germany	6	157 0.6×	86 0.5×	33 0.6×	40 1.1×	35 1.1×	8	245
Marta Tapia United Kingdom	10	310 1.3×	121 0.7×	40 0.8×	27 0.7×	19 0.6×	13	366
Eiki Kanbe United States	6	290 1.2×	250 1.4×	30 0.6×	44 1.2×	27 0.8×	8	362
Haiming Xu United States	9	523 2.1×	248 1.4×	45 0.9×	42 1.1×	31 0.9×	19	604
Ilaria Gionfriddo Italy	7	401 1.6×	358 2.0×	36 0.7×	47 1.3×	53 1.6×	13	501

Countries citing papers authored by Jonathan Cooper

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Cooper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Cooper

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Cooper. A scholar is included among the top collaborators of Jonathan Cooper 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 Jonathan Cooper. Jonathan Cooper 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

Almeida, José Guilherme de, Emma Gudgin, Martin Besser, et al.. (2023). Computational analysis of peripheral blood smears detects disease-associated cytomorphologies. Nature Communications. 14(1). 4378–4378. 6 indexed citations

Gupta, Shikha, Oliver M. Dovey, Ana Filipa Domingues, et al.. (2022). Transcriptional variability accelerates preleukemia by cell diversification and perturbation of protein synthesis. Science Advances. 8(31). eabn4886–eabn4886. 3 indexed citations

Dovey, Oliver M., Jonathan Cooper, Muxin Gu, et al.. (2021). SETBP1 overexpression acts in the place of class-defining mutations to drive FLT3-ITD–mutant AML. Blood Advances. 5(9). 2412–2425. 9 indexed citations

Gu, Muxin, Étienne De Braekeleer, Malgorzata Gozdecka, et al.. (2020). KAT7 is a genetic vulnerability of acute myeloid leukemias driven by MLL rearrangements. Leukemia. 35(4). 1012–1022. 33 indexed citations

Nguyen, Chi Huu, Katharina Bauer, Hubert Hackl, et al.. (2019). SOCS2 is part of a highly prognostic 4-gene signature in AML and promotes disease aggressiveness. Scientific Reports. 9(1). 9139–9139. 36 indexed citations

Dovey, Oliver M., Jonathan Cooper, Annalisa Mupo, et al.. (2017). Molecular synergy underlies the co-occurrence patterns and phenotype of NPM1-mutant acute myeloid leukemia. Blood. 130(17). 1911–1922. 52 indexed citations

Cooper, Jonathan, John E. Duda, Julianna Roddy, et al.. (2012). Improving Vaccination of Patients Pre and Post Bone Marrow Transplant. Biology of Blood and Marrow Transplantation. 18(2). S380–S380. 1 indexed citations

Vassiliou, George S., Jonathan Cooper, Roland Rad, et al.. (2011). Mutant nucleophosmin and cooperating pathways drive leukemia initiation and progression in mice. Nature Genetics. 43(5). 470–475. 150 indexed citations

Dhami, Pawandeep, Alexander W. Bruce, Shane C. Dillon, et al.. (2010). Genomic Approaches Uncover Increasing Complexities in the Regulatory Landscape at the Human SCL (TAL1) Locus. PLoS ONE. 5(2). e9059–e9059. 17 indexed citations

10.

Dhami, Pawandeep, et al.. (2007). Identification of Target Genes of an Erythroid Transcription Factor Complex Containing SCL (TAL1).. Blood. 110(11). 4068–4068. 2 indexed citations

11.

Schmidt, Jeanette P., et al.. (1998). A surface measure for probabilistic structural computations.. PubMed. 6. 148–56. 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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