Robert Clarke

64.9k total citations · 3 hit papers
492 papers, 27.8k citations indexed

About

Robert Clarke is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Robert Clarke has authored 492 papers receiving a total of 27.8k indexed citations (citations by other indexed papers that have themselves been cited), including 263 papers in Molecular Biology, 98 papers in Oncology and 94 papers in Genetics. Recurrent topics in Robert Clarke's work include Gene expression and cancer classification (83 papers), Estrogen and related hormone effects (82 papers) and Bioinformatics and Genomic Networks (64 papers). Robert Clarke is often cited by papers focused on Gene expression and cancer classification (83 papers), Estrogen and related hormone effects (82 papers) and Bioinformatics and Genomic Networks (64 papers). Robert Clarke collaborates with scholars based in United States, Switzerland and Canada. Robert Clarke's co-authors include Rory Collins, Sarah Lewington, Richárd Pető, Nawab Qizilbash, Leena Hilakivi‐Clarke, Fabio Leonessa, Julien Puyal, Bruce J. Trock, Ayesha N. Shajahan‐Haq and Katherine L. Cook and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Robert Clarke

480 papers receiving 26.9k 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.

Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies

2002 7.2k citations Robert Clarke et al. profile →
A peptide inhibitor of c-Jun N-terminal kinase protects against excitotoxicity and cerebral ischemia

2003 580 citations Robert Clarke et al. profile →
Autosis is a Na ⁺ ,K ⁺ -ATPase–regulated form of cell death triggered by autophagy-inducing peptides, starvation, and hypoxia–ischemia

2013 453 citations Robert Clarke et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert Clarke United States	74	9.8k	5.3k	4.5k	3.6k	2.9k	492	27.8k
Garret A. FitzGerald United States	115	11.4k 1.2×	9.9k 1.9×	1.9k 0.4×	3.7k 1.0×	2.3k 0.8×	488	50.4k
Jan L. Breslow United States	96	9.7k 1.0×	4.9k 0.9×	2.2k 0.5×	3.3k 0.9×	4.1k 1.4×	266	29.9k
Joseph Loscalzo United States	117	18.0k 1.8×	10.1k 1.9×	1.7k 0.4×	2.8k 0.8×	3.4k 1.2×	614	55.3k
Timothy R. Billiar United States	122	19.5k 2.0×	3.2k 0.6×	3.2k 0.7×	1.8k 0.5×	7.7k 2.6×	781	57.3k
Toru Kita Japan	86	9.3k 1.0×	5.0k 0.9×	1.7k 0.4×	1.2k 0.3×	2.5k 0.8×	480	28.4k
Ann Marie Schmidt United States	113	13.3k 1.4×	3.6k 0.7×	1.1k 0.3×	2.3k 0.6×	4.2k 1.4×	395	49.7k
Cornelia M. van Duijn Netherlands	96	11.8k 1.2×	3.1k 0.6×	1.4k 0.3×	7.1k 2.0×	3.2k 1.1×	676	40.3k
Ping Wang United States	90	13.2k 1.4×	2.0k 0.4×	2.5k 0.6×	1.4k 0.4×	5.8k 2.0×	1.3k	37.0k
Göran K. Hansson Sweden	101	14.0k 1.4×	7.2k 1.3×	4.6k 1.0×	1.8k 0.5×	11.5k 3.9×	455	53.2k
Steven E. Kahn United States	105	12.7k 1.3×	4.8k 0.9×	1.8k 0.4×	5.9k 1.6×	9.2k 3.1×	471	46.7k

Countries citing papers authored by Robert Clarke

Since Specialization

Citations

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

Fields of papers citing papers by Robert Clarke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Clarke

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yamanouchi, Jun, et al.. (2025). BLIMP-1-dependent differentiation of T follicular helper cells into Foxp3+ T regulatory type 1 cells. Frontiers in Immunology. 16. 1519780–1519780. 1 indexed citations

O’Sullivan, Ciara C., Robert Clarke, Matthew P. Goetz, & J.F.R. Robertson. (2023). Cyclin-Dependent Kinase 4/6 Inhibitors for Treatment of Hormone Receptor–Positive, ERBB2-Negative Breast Cancer. JAMA Oncology. 9(9). 1273–1273. 31 indexed citations

Parker, Sarah J., Georgia Saylor, Yizhi Wang, et al.. (2022). Comparative assessment and novel strategy on methods for imputing proteomics data. Scientific Reports. 12(1). 18 indexed citations

Chen, Lulu, Chia-Hsiang Lin, Rujia Dai, et al.. (2021). swCAM: estimation of subtype-specific expressions in individual samples with unsupervised sample-wise deconvolution. Bioinformatics. 38(5). 1403–1410. 9 indexed citations

Zhang, Xiyuan, Hansheng Zhang, Robert Clarke, et al.. (2020). Maternal obesity increases offspring’s mammary cancer recurrence and impairs tumor immune response. Endocrine Related Cancer. 27(9). 469–482. 11 indexed citations

Sengupta, Surojeet, et al.. (2019). Estrogen-Induced Apoptosis in Breast Cancers Is Phenocopied by Blocking Dephosphorylation of Eukaryotic Initiation Factor 2 Alpha (eIF2α) Protein. Molecular Cancer Research. 17(4). 918–928. 15 indexed citations

Zhang, Xiyuan, Katherine L. Cook, Anni Wärri, et al.. (2017). Lifetime Genistein Intake Increases the Response of Mammary Tumors to Tamoxifen in Rats. Clinical Cancer Research. 23(3). 814–824. 51 indexed citations

Cook, Katherine L., David R. Soto‐Pantoja, Pamela A.G. Clarke, et al.. (2016). Endoplasmic Reticulum Stress Protein GRP78 Modulates Lipid Metabolism to Control Drug Sensitivity and Antitumor Immunity in Breast Cancer. Cancer Research. 76(19). 5657–5670. 88 indexed citations

Cook, Katherine L., Chun Chen, Ayesha N. Shajahan‐Haq, et al.. (2015). Interferon Regulatory Factor-1 Signaling Regulates the Switch between Autophagy and Apoptosis to Determine Breast Cancer Cell Fate. Cancer Research. 75(6). 1046–1055. 29 indexed citations

10.

Hatzis, Christos, Philippe L. Bédard, Nicolai J. Birkbak, et al.. (2014). Enhancing Reproducibility in Cancer Drug Screening: How Do We Move Forward?. Cancer Research. 74(15). 4016–4023. 67 indexed citations

11.

Cook, Katherine L., Anni Wärri, David R. Soto‐Pantoja, et al.. (2014). Chloroquine Inhibits Autophagy to Potentiate Antiestrogen Responsiveness in ER+ Breast Cancer. Clinical Cancer Research. 20(12). 3222–3232. 170 indexed citations

12.

Shajahan‐Haq, Ayesha N., et al.. (2013). GX15-070 (Obatoclax) Induces Apoptosis and Inhibits Cathepsin D- and L–Mediated Autophagosomal Lysis in Antiestrogen-Resistant Breast Cancer Cells. Molecular Cancer Therapeutics. 12(4). 448–459. 43 indexed citations

13.

Cook, Katherine L., Ayesha N. Shajahan‐Haq, Anni Wärri, et al.. (2012). Glucose-Regulated Protein 78 Controls Cross-talk between Apoptosis and Autophagy to Determine Antiestrogen Responsiveness. Cancer Research. 72(13). 3337–3349. 132 indexed citations

14.

Aiyer, Harini S., Kerrie B. Bouker, Katherine L. Cook, et al.. (2012). Interaction of dietary polyphenols with molecular signaling pathways of antiestrogen resistance: possible role in breast cancer recurrence. Hormone Molecular Biology and Clinical Investigation. 9(2). 127–141. 8 indexed citations

15.

Broustas, Constantinos G., Jeffrey S. Ross, Qifeng Yang, et al.. (2010). The Proapoptotic Molecule BLID Interacts with Bcl-XL and Its Downregulation in Breast Cancer Correlates with Poor Disease-Free and Overall Survival. Clinical Cancer Research. 16(11). 2939–2948. 15 indexed citations

16.

Ning, Yanxia, et al.. (2010). IFNγ Restores Breast Cancer Sensitivity to Fulvestrant by Regulating STAT1, IFN Regulatory Factor 1, NF-κB, BCL2 Family Members, and Signaling to Caspase-Dependent Apoptosis. Molecular Cancer Therapeutics. 9(5). 1274–1285. 58 indexed citations

17.

Shajahan‐Haq, Ayesha N., Shruti Goel, Sônia de Assis, et al.. (2010). Changes in mammary caveolin-1 signaling pathways are associated with breast cancer risk in rats exposed to estradiol in utero or during prepuberty. Hormone Molecular Biology and Clinical Investigation. 2(2). 227–234. 3 indexed citations

18.

Riggins, Rebecca B., Alan Zwart, Luciane R. Cavalli, et al.. (2008). ERRγ Mediates Tamoxifen Resistance in Novel Models of Invasive Lobular Breast Cancer. Cancer Research. 68(21). 8908–8917. 91 indexed citations

19.

Xuan, Jianhua, et al.. (2007). Stability-Based Dimension Estimation of ICA with Application to Microarray Data Analysis.. 132–138. 5 indexed citations

20.

Wang, Lihua, Xiao Yang, Xiaohu Zhang, et al.. (2006). Disruption of estrogen receptor DNA-binding domain and related intramolecular communication restores tamoxifen sensitivity in resistant breast cancer. Cancer Cell. 10(6). 487–499. 60 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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