Andrew J. Steele

3.9k total citations
83 papers, 2.3k citations indexed

About

Andrew J. Steele is a scholar working on Genetics, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Andrew J. Steele has authored 83 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Genetics, 29 papers in Pathology and Forensic Medicine and 23 papers in Molecular Biology. Recurrent topics in Andrew J. Steele's work include Chronic Lymphocytic Leukemia Research (46 papers), Lymphoma Diagnosis and Treatment (29 papers) and Immunodeficiency and Autoimmune Disorders (12 papers). Andrew J. Steele is often cited by papers focused on Chronic Lymphocytic Leukemia Research (46 papers), Lymphoma Diagnosis and Treatment (29 papers) and Immunodeficiency and Autoimmune Disorders (12 papers). Andrew J. Steele collaborates with scholars based in United Kingdom, United States and Spain. Andrew J. Steele's co-authors include Graham Packham, Freda K. Stevenson, Sergey Krysov, Andrew Davies, Francesco Forconi, A. G. Prentice, Tom Lancaster, Stephen J. Blundell, F. L. Pratt and Peter J. Baker and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Angewandte Chemie International Edition.

In The Last Decade

Andrew J. Steele

80 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew J. Steele United Kingdom 29 897 793 621 577 386 83 2.3k
Fabian Köhler Germany 22 393 0.4× 535 0.7× 275 0.4× 451 0.8× 88 0.2× 44 1.6k
Kenneth L. Pitter United States 24 576 0.6× 2.3k 2.9× 116 0.2× 395 0.7× 735 1.9× 48 4.2k
Yu Han United States 28 759 0.8× 987 1.2× 43 0.1× 1.3k 2.3× 1.1k 2.8× 55 3.2k
Jay F. Dorsey United States 31 638 0.7× 1.1k 1.4× 116 0.2× 386 0.7× 826 2.1× 80 3.1k
Paula J. Foster Canada 33 486 0.5× 1.0k 1.3× 113 0.2× 378 0.7× 667 1.7× 114 3.4k
David T Scadden United States 8 157 0.2× 935 1.2× 31 0.0× 330 0.6× 292 0.8× 9 2.1k
Guido Piontek Germany 26 295 0.3× 684 0.9× 77 0.1× 311 0.5× 492 1.3× 58 2.0k
Ulrike Köhl Germany 23 138 0.2× 356 0.4× 46 0.1× 593 1.0× 593 1.5× 61 1.3k
Carl Campos United States 13 1.0k 1.1× 1.7k 2.1× 54 0.1× 188 0.3× 305 0.8× 16 3.2k
Arutselvan Natarajan United States 28 92 0.1× 677 0.9× 97 0.2× 469 0.8× 820 2.1× 80 2.5k

Countries citing papers authored by Andrew J. Steele

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Steele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Steele. 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 Andrew J. Steele. The network helps show where Andrew J. Steele may publish in the future.

Co-authorship network of co-authors of Andrew J. Steele

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

All Works

20 of 20 papers shown
1.
Vose, Julie M., Chan Y. Cheah, Michael Roost Clausen, et al.. (2024). 3-Year Update from the Epcore NHL-1 Trial: Epcoritamab Leads to Deep and Durable Responses in Relapsed or Refractory Large B-Cell Lymphoma. Blood. 144(Supplement 1). 4480–4480. 8 indexed citations
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Woo, Jeongmin, Matthew D. Blunt, Francesco Forconi, et al.. (2023). Network analysis reveals a major role for 14q32 cluster miRNAs in determining transcriptional differences between IGHV-mutated and unmutated CLL. Leukemia. 37(7). 1454–1463. 2 indexed citations
6.
Strefford, Jonathan C., Francesco Forconi, Freda K. Stevenson, et al.. (2022). B-cell receptor dependent phagocytosis and presentation of particulate antigen by chronic lymphocytic leukemia cells. SHILAP Revista de lepidopterología. 3. 37–49. 3 indexed citations
7.
Linley, Adam J., Annalisa D’Avola, Silvia Cicconi, et al.. (2021). Kinobead Profiling Reveals Reprogramming of BCR Signaling in Response to Therapy within Primary CLL Cells. Clinical Cancer Research. 27(20). 5647–5659. 4 indexed citations
8.
Williams, Antony, Alexander J. McAdam, J. L. Eigenbrode, et al.. (2021). Organic Molecules Revealed in Glen Torridon by the SAM Instrument. SPIRE - Sciences Po Institutional REpository. 2039. 1 indexed citations
9.
Stevenson, Freda K., Francesco Forconi, Andrew J. Steele, et al.. (2021). Targeted inhibition of eIF4A suppresses B-cell receptor-induced translation and expression of MYC and MCL1 in chronic lymphocytic leukemia cells. Cellular and Molecular Life Sciences. 78(17-18). 6337–6349. 22 indexed citations
10.
Valle‐Argos, Beatriz, et al.. (2020). Development of PROTACs to address clinical limitations associated with BTK-targeted kinase inhibitors. SHILAP Revista de lepidopterología. 1(3). 131–152. 14 indexed citations
11.
Hill, Charlotte, Juanjuan Li, Dian Liu, et al.. (2019). Autophagy inhibition-mediated epithelial–mesenchymal transition augments local myofibroblast differentiation in pulmonary fibrosis. Cell Death and Disease. 10(8). 591–591. 127 indexed citations
12.
Chiodin, Giorgia, Annalisa D’Avola, Ian Tracy, et al.. (2018). Ibrutinib Therapy Releases Leukemic Surface IgM from Antigen Drive in Chronic Lymphocytic Leukemia Patients. Clinical Cancer Research. 25(8). 2503–2512. 19 indexed citations
13.
Dobson, Rachel, et al.. (2018). Ex-Vivo Signal Transduction Studies in Chronic Lymphocytic Leukemia. Methods in molecular biology. 1881. 1–17. 1 indexed citations
14.
Dahal, Lekh N., Lang Dou, Khiyam Hussain, et al.. (2017). STING Activation Reverses Lymphoma-Mediated Resistance to Antibody Immunotherapy. Cancer Research. 77(13). 3619–3631. 59 indexed citations
15.
Ashton‐Key, Margaret, Jonathan C. Strefford, Freda K. Stevenson, et al.. (2017). Regulation and Impact of BCR Induced Autophagy in Chronic Lymphocytic Leukemia. Blood. 130. 1717–1717. 1 indexed citations
16.
Blunt, Matthew D., Stefan Koehrer, Rachel Dobson, et al.. (2016). The Dual Syk/JAK Inhibitor Cerdulatinib Antagonizes B-cell Receptor and Microenvironmental Signaling in Chronic Lymphocytic Leukemia. Clinical Cancer Research. 23(9). 2313–2324. 54 indexed citations
17.
Rose‐Zerilli, Matthew, Jade Forster, Helen Parker, et al.. (2014). ATM mutation rather than BIRC3 deletion and/or mutation predicts reduced survival in 11q-deleted chronic lymphocytic leukemia: data from the UK LRF CLL4 trial. Haematologica. 99(4). 736–742. 46 indexed citations
18.
Packham, Graham, Sergey Krysov, Andrew M. Allen, et al.. (2014). The outcome of B-cell receptor signaling in chronic lymphocytic leukemia: proliferation or anergy. Haematologica. 99(7). 1138–1148. 73 indexed citations
19.
Cornish, Kim, et al.. (2012). Attention Deficits Predict Phenotypic Outcomes in Syndrome-Specific and Domain-Specific Ways. Frontiers in Psychology. 3. 227–227. 27 indexed citations
20.
Dachs, Gabi U., Andrew J. Steele, Chryso Kanthou, et al.. (2006). Anti-vascular agent Combretastatin A-4-P modulates Hypoxia Inducible Factor-1 and gene expression. BMC Cancer. 6(1). 280–280. 33 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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