Dean C. Pask

1.5k total citations · 1 hit paper
6 papers, 905 citations indexed

About

Dean C. Pask is a scholar working on Genetics, Molecular Biology and Hematology. According to data from OpenAlex, Dean C. Pask has authored 6 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Hematology. Recurrent topics in Dean C. Pask's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Kruppel-like factors research (3 papers) and Acute Myeloid Leukemia Research (2 papers). Dean C. Pask is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Kruppel-like factors research (3 papers) and Acute Myeloid Leukemia Research (2 papers). Dean C. Pask collaborates with scholars based in United Kingdom, Panama and Switzerland. Dean C. Pask's co-authors include Paul A. Cuddon, Paul Goldsmith, David C. Rubinsztein, R. Andres Floto, Sovan Sarkar, Cahir J. O’Kane, Shinji Saiki, Farah H. Siddiqi, Luca Jahreiss and Angeleen Fleming and has published in prestigious journals such as Blood, PLoS Biology and Nature Chemical Biology.

In The Last Decade

Dean C. Pask

6 papers receiving 893 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Novel targets for Huntington's disease in an mTOR-independent autophagy pathway

2008 638 citations Sovan Sarkar, Paul A. Cuddon et al. Nature Chemical Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dean C. Pask United Kingdom	6	438	427	187	184	178	6	905
Sarah L. Rea Australia	17	412 0.9×	196 0.5×	18 0.1×	82 0.4×	78 0.4×	24	776
Daniel K. Borger United States	8	176 0.4×	89 0.2×	91 0.5×	62 0.3×	145 0.8×	14	516
Herschel S. Dhekne United States	13	522 1.2×	71 0.2×	35 0.2×	35 0.2×	509 2.9×	13	1.1k
Heike Kroeger United States	14	633 1.4×	156 0.4×	95 0.5×	16 0.1×	372 2.1×	22	890
Julia Procter United Kingdom	8	393 0.9×	49 0.1×	102 0.5×	57 0.3×	100 0.6×	9	601
Deepthi Sanagasetti United States	9	339 0.8×	246 0.6×	12 0.1×	19 0.1×	144 0.8×	11	626
Briony L. Gliddon Australia	15	399 0.9×	111 0.3×	45 0.2×	36 0.2×	259 1.5×	23	764
Jaclyn Nicole Le Grand France	8	365 0.8×	214 0.5×	12 0.1×	19 0.1×	68 0.4×	8	566
Hiroyuki Sonoda Japan	13	305 0.7×	123 0.3×	34 0.2×	31 0.2×	109 0.6×	37	723

Countries citing papers authored by Dean C. Pask

Since Specialization

Citations

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

Fields of papers citing papers by Dean C. Pask

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dean C. Pask. 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 Dean C. Pask. The network helps show where Dean C. Pask may publish in the future.

Co-authorship network of co-authors of Dean C. Pask

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

All Works

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6 of 6 papers shown

1.

Shepherd, Mairi, Juan Li, Nicola K. Wilson, et al.. (2018). Single-cell approaches identify the molecular network driving malignant hematopoietic stem cell self-renewal. Blood. 132(8). 791–803. 22 indexed citations

2.

Kirschner, Kristina, Tamir Chandra, Vladimir Yu Kiselev, et al.. (2017). Proliferation Drives Aging-Related Functional Decline in a Subpopulation of the Hematopoietic Stem Cell Compartment. Cell Reports. 19(8). 1503–1511. 69 indexed citations

3.

Li, Juan, Daniel Prins, Hyun Jung Park, et al.. (2017). Mutant calreticulin knockin mice develop thrombocytosis and myelofibrosis without a stem cell self-renewal advantage. Blood. 131(6). 649–661. 57 indexed citations

4.

Li, Juan, David G. Kent, Anna L. Godfrey, et al.. (2014). JAK2V617F homozygosity drives a phenotypic switch in myeloproliferative neoplasms, but is insufficient to sustain disease. Blood. 123(20). 3139–3151. 55 indexed citations

5.

Kent, David G., Juan Li, Juergen Fink, et al.. (2013). Self-Renewal of Single Mouse Hematopoietic Stem Cells Is Reduced by JAK2V617F Without Compromising Progenitor Cell Expansion. PLoS Biology. 11(6). e1001576–e1001576. 64 indexed citations

6.

Sarkar, Sovan, Paul A. Cuddon, Shinji Saiki, et al.. (2008). Novel targets for Huntington's disease in an mTOR-independent autophagy pathway. Nature Chemical Biology. 4(5). 295–305. 638 indexed citations breakdown →

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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