Andrew Stubbs

5.4k total citations · 1 hit paper
102 papers, 2.9k citations indexed

About

Andrew Stubbs is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Andrew Stubbs has authored 102 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 18 papers in Oncology and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Andrew Stubbs's work include Genomics and Phylogenetic Studies (11 papers), Cancer Genomics and Diagnostics (7 papers) and Molecular Biology Techniques and Applications (7 papers). Andrew Stubbs is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), Cancer Genomics and Diagnostics (7 papers) and Molecular Biology Techniques and Applications (7 papers). Andrew Stubbs collaborates with scholars based in Netherlands, United States and United Kingdom. Andrew Stubbs's co-authors include Peter J. van der Spek, Saskia Hiltemann, Mario Pescatori, Guido Jenster, Linda B.C. Bralten, Pim J. French, Johan M. Kros, Anneleen Daemen, Nanne K. Kloosterhof and Johan J. de Rooi and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Andrew Stubbs

94 papers receiving 2.8k 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.

Intrinsic Gene Expression Profiles of Gliomas Are a Better Predictor of Survival than Histology

2009 512 citations Lonneke A.M. Gravendeel, Mathilde C.M. Kouwenhoven et al. Cancer Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Stubbs Netherlands	27	1.3k	729	588	425	425	102	2.9k
Rainer Claus Germany	32	2.6k 2.0×	989 1.4×	534 0.9×	614 1.4×	467 1.1×	132	4.1k
Shuo Ma United States	28	1.2k 0.9×	500 0.7×	909 1.5×	762 1.8×	733 1.7×	160	3.2k
George Follows United Kingdom	26	1.4k 1.1×	310 0.4×	720 1.2×	449 1.1×	644 1.5×	100	2.9k
Martin Corcoran Sweden	35	2.1k 1.7×	769 1.1×	892 1.5×	521 1.2×	999 2.4×	72	3.9k
Patricia J.T.A. Groenen Netherlands	38	2.0k 1.5×	376 0.5×	597 1.0×	1.0k 2.4×	395 0.9×	129	4.3k
Arash Rafii France	34	2.0k 1.5×	1.0k 1.4×	420 0.7×	1.2k 2.7×	565 1.3×	124	4.5k
Michael Cross Germany	33	1.7k 1.3×	568 0.8×	552 0.9×	591 1.4×	623 1.5×	136	3.9k
Šárka Pospı́šilová Czechia	37	2.1k 1.6×	827 1.1×	1.5k 2.5×	1.0k 2.4×	1.2k 2.8×	181	4.4k
Vı́ctor Quesada Spain	26	1.8k 1.4×	603 0.8×	291 0.5×	669 1.6×	328 0.8×	58	2.9k
Stephanie Halene United States	27	2.0k 1.5×	402 0.6×	326 0.6×	699 1.6×	849 2.0×	111	3.8k

Countries citing papers authored by Andrew Stubbs

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Stubbs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Stubbs

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

Stubbs, Andrew, Martijn W.F. van den Hoogen, Martin J. Hoogduijn, et al.. (2025). Normothermic versus hypothermic machine perfusion in kidney transplantation: A randomized controlled trial. American Journal of Transplantation.

Heikema, Astrid P., Saskia Hiltemann, Andrew Stubbs, et al.. (2025). Proteogenomic analysis demonstrates increased bla _OXA-48 copy numbers and OmpK36 loss as contributors to carbapenem resistance in Klebsiella pneumoniae. Antimicrobial Agents and Chemotherapy. 69(7). e0010725–e0010725. 1 indexed citations

Seynhaeve, Ann L.B., Conny van Holten-Neelen, Rutger W. W. Brouwer, et al.. (2025). CXCL10 Secreted by Pericytes Mediates TNFα-Induced Vascular Leakage in Tumors and Enhances Extravasation of Nanoparticle-Based Chemotherapeutics. Cancer Research. 85(9). 1596–1610. 3 indexed citations

Akram, Farhan, Thierry van den Bosch, Robert M. Verdijk, et al.. (2024). Prediction of molecular subclasses of uveal melanoma by deep learning using routine haematoxylin–eosin‐stained tissue slides. Histopathology. 85(6). 909–919. 1 indexed citations

Heijnen, Leo, et al.. (2024). A systematic benchmark of copy number variation detection tools for high density SNP genotyping arrays. Genomics. 116(6). 110962–110962.

Rasche, Helena, et al.. (2024). FAIR data retrieval for sensitive clinical research data in Galaxy. GigaScience. 13. 2 indexed citations

Bosch, Thierry P. P. van den, Carla C. Baan, Dennis A. Hesselink, et al.. (2023). Multiomic profiling of transplant glomerulopathy reveals a novel T-cell dominant subclass. Kidney International. 105(4). 812–823. 16 indexed citations

Lau, Sai Ping, Willem de Koning, Larissa Klaase, et al.. (2022). Immunomodulatory Effects of Stereotactic Body Radiotherapy and Vaccination with Heat-Killed Mycobacterium Obuense (IMM-101) in Patients with Locally Advanced Pancreatic Cancer. Cancers. 14(21). 5299–5299. 2 indexed citations

Rasche, Helena, Cameron Hyde, Simon Gladman, et al.. (2022). Training Infrastructure as a Service. GigaScience. 12. 1 indexed citations

10.

Mustafa, Dana A. M., et al.. (2021). Robust deep learning model for prognostic stratification of pancreatic ductal adenocarcinoma patients. iScience. 24(12). 103415–103415. 12 indexed citations

11.

Heinonen, Ilkka, Oana Sorop, Bas M. van Dalen, et al.. (2020). Cellular, mitochondrial and molecular alterations associate with early left ventricular diastolic dysfunction in a porcine model of diabetic metabolic derangement. Scientific Reports. 10(1). 13173–13173. 15 indexed citations

12.

Koning, Willem de, Milad Miladi, Saskia Hiltemann, et al.. (2020). NanoGalaxy: Nanopore long-read sequencing data analysis in Galaxy. GigaScience. 9(10). 40 indexed citations

13.

Hiltemann, Saskia, Stefan A. Boers, Peter J. van der Spek, et al.. (2018). Galaxy mothur Toolset (GmT): a user-friendly application for 16S rRNA gene sequencing analysis using mothur. GigaScience. 8(2). 16 indexed citations

14.

Helsmoortel, Céline, Sigrid Swagemakers, Geert Vandeweyer, et al.. (2016). Whole genome sequencing of a dizygotic twin suggests a role for the serotonin receptor HTR7 in autism spectrum disorder. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 171(8). 1049–1056. 9 indexed citations

15.

Lu, Hao, Thomas Papathomas, Ronald R. de Krijger, et al.. (2014). Automated Selection of Hotspots (ASH): enhanced automated segmentation and adaptive step finding for Ki67 hotspot detection in adrenal cortical cancer. Diagnostic Pathology. 9(1). 216–216. 32 indexed citations

16.

Brugman, Martijn H., et al.. (2012). Comprehensive Investigation of Parameter Choice in Viral Integration Site Analysis and Its Effects on the Gene Annotations Produced. Human Gene Therapy. 23(11). 1209–1219. 13 indexed citations

17.

Dzwonek, Joanna, Olena Preobrazhenska, Andrea Conidi, et al.. (2009). Smad3 Is a Key Nonredundant Mediator of Transforming Growth Factor β Signaling in Nme Mouse Mammary Epithelial Cells. Molecular Cancer Research. 7(8). 1342–1353. 24 indexed citations

18.

Gravendeel, Lonneke A.M., Mathilde C.M. Kouwenhoven, Olivier Gevaert, et al.. (2009). Intrinsic Gene Expression Profiles of Gliomas Are a Better Predictor of Survival than Histology. Cancer Research. 69(23). 9065–9072. 512 indexed citations breakdown →

19.

Fasanaro, Pasquale, Simona Greco, Maria Lorenzi, et al.. (2009). An Integrated Approach for Experimental Target Identification of Hypoxia-induced miR-210. Journal of Biological Chemistry. 284(50). 35134–35143. 237 indexed citations

20.

Stubbs, Andrew, El–Nasir Lalani, Gordon Stamp, et al.. (1996). Second messenger up‐regulation of androgen receptor gene transcription is absent in androgen insensitive human prostatic carcinoma cell lines, PC‐3 and DU‐145. FEBS Letters. 383(3). 237–240. 16 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.

Explore authors with similar magnitude of impact