Jane Staunton

7.9k citations
16 papers · 6.0k indexed · 5 hit papers · h-index 12

Impact in

  • Aging top 1%
  • Hematology top 1%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

Jane Staunton

16 papers receiving 5.9k citations

Hit Papers

Synergistic drug combinations tend to improve therapeutically relevant selectivity 2009 · 742 citations
742200120262009201750010001.5k

Peers

Jane Staunton
Comparison fields: 5 of 149
  • Aging 276
  • Hematology 908
  • Molecular Biology 3.9k
  • Cancer Research 676
  • Oncology 843
Replace So Young Kim with:
So Young Kim South Korea
Kenneth N. Ross United States
Lisa Wodicka United States
J. Carl Barrett United States
Roger J. Daly Australia
Robert C. Armstrong United States
Sampsa Hautaniemi Finland
Michael Reich United States
David E. Misek United States
Ethan Dmitrovsky United States
Jane Staunton relative to So Young Kim South Korea So Young Kim's profile →
Citations per field
00.5×6.8×
So Young Kim · 1×
Citations per year

Countries citing papers authored by Jane Staunton

Since Specialization
Citations

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

Fields of papers citing papers by Jane Staunton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jane Staunton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jane Staunton Line = papers co-authored together Jane Staunton links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20231
2 20232
3 201019
4 201011
5
Synergistic drug combinations tend to improve therapeutically relevant selectivity
Hit paper breakdown →
2009742
6
Gene expression signatures define novel oncogenic pathways in T cell acute lymphoblastic leukemia
Hit paper breakdown →
2002819
7
MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia
Hit paper breakdown →
20011283
8
Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses
Hit paper breakdown →
20011953
9 200144
10
Chemosensitivity prediction by transcriptional profiling
Hit paper breakdown →
2001532
11 1997129
12 1997309
13 19957
14 199417
15
Identification of two distinct microtubule binding domains on recombinant rat MAP 1B.
199250
16 1988119

About Jane Staunton

Jane Staunton is a scholar working on Aging, Immunology, Cell Biology, Endocrine and Autonomic Systems and Clinical Biochemistry, having authored 16 papers that have together received 6.0k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (3 papers), Cystic Fibrosis Research Advances (2 papers), Computational Drug Discovery Methods (2 papers), CAR-T cell therapy research (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), DNA Repair Mechanisms (2 papers), Neonatal Respiratory Health Research (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Aging (276 citations), Hematology (908 citations), Molecular Biology (3.9k citations), Cancer Research (676 citations) and Oncology (843 citations). Jane Staunton has collaborated with scholars based in United States, Russia and Netherlands. Frequent co-authors include Todd R. Golub, Eric S. Lander, Monique L. den Boer, Stephen E. Sallan, Mark D. Minden, Eric S. Lander, Scott A. Armstrong, Lewis B. Silverman, Stanley J. Korsmeyer and Rob Pieters. Their work appears in journals such as Assay and Drug Development Technologies, Journal of Neuroscience, Proceedings of the National Academy of Sciences, Nature Genetics and Cancer Cell.

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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