Andrew V. Biankin

63.2k total citations · 6 hit papers
201 papers, 13.4k citations indexed

About

Andrew V. Biankin is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Andrew V. Biankin has authored 201 papers receiving a total of 13.4k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Oncology, 90 papers in Cancer Research and 57 papers in Molecular Biology. Recurrent topics in Andrew V. Biankin's work include Pancreatic and Hepatic Oncology Research (113 papers), Cancer Genomics and Diagnostics (82 papers) and Renal cell carcinoma treatment (21 papers). Andrew V. Biankin is often cited by papers focused on Pancreatic and Hepatic Oncology Research (113 papers), Cancer Genomics and Diagnostics (82 papers) and Renal cell carcinoma treatment (21 papers). Andrew V. Biankin collaborates with scholars based in Australia, United Kingdom and United States. Andrew V. Biankin's co-authors include David K. Chang, James G. Kench, Peter J. Bailey, Ralph H. Hruban, Minoti V. Apte, David A. Tuveson, Neil D. Merrett, Eric A. Collisson, John P. Neoptolemos and Margaret A. Tempero and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Andrew V. Biankin

197 papers receiving 13.2k citations

Hit Papers

Pancreatic cancer 2004 2026 2011 2018 2016 2014 2004 2007 2019 400 800 1.2k
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.

  1. Pancreatic cancer
    2016 1.3k citations Minoti V. Apte, Andrew V. Biankin et al. profile →
  2. Patient-Derived Xenograft Models: An Emerging Platform for Translational Cancer Research
    2014 1.2k citations Andrew V. Biankin et al. profile →
  3. An Illustrated Consensus on the Classification of Pancreatic Intraepithelial Neoplasia and Intraductal Papillary Mucinous Neoplasms
    2004 761 citations Ralph H. Hruban, Kyoichi Takaori et al. The American Journal of Surgical Pathology profile →
  4. Endoplasmic reticulum stress contributes to beta cell apoptosis in type 2 diabetes
    2007 678 citations Andrew V. Biankin et al. profile →
  5. Molecular subtypes of pancreatic cancer
    2019 530 citations Peter J. Bailey, David K. Chang et al. profile →
  6. Mutant p53 Drives Pancreatic Cancer Metastasis through Cell-Autonomous PDGF Receptor β Signaling
    2014 362 citations Jianmin Wu, Sean M. Grimmond et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew V. Biankin Australia 56 7.7k 5.3k 3.8k 3.5k 1.8k 201 13.4k
Alison P. Klein United States 46 9.4k 1.2× 3.6k 0.7× 2.9k 0.8× 4.1k 1.2× 1.5k 0.8× 146 12.5k
Andrew M. Lowy United States 58 7.5k 1.0× 4.1k 0.8× 4.3k 1.1× 2.4k 0.7× 2.6k 1.4× 248 12.6k
Hidetoshi Eguchi Japan 63 5.3k 0.7× 6.7k 1.3× 4.4k 1.2× 4.9k 1.4× 2.8k 1.5× 758 15.7k
Hiroaki Nagano Japan 60 4.2k 0.5× 5.0k 0.9× 3.5k 0.9× 3.2k 0.9× 1.7k 0.9× 451 13.1k
Robert L. Camp United States 56 5.7k 0.7× 6.2k 1.2× 1.5k 0.4× 2.4k 0.7× 2.3k 1.3× 118 12.8k
Huamin Wang United States 74 11.5k 1.5× 5.6k 1.0× 4.3k 1.1× 4.5k 1.3× 4.0k 2.2× 256 17.9k
Iréne Esposito Germany 59 5.8k 0.7× 3.4k 0.6× 2.9k 0.8× 1.9k 0.5× 1.8k 1.0× 312 11.3k
Anil K. Rustgi United States 73 9.6k 1.2× 9.9k 1.9× 4.8k 1.3× 4.1k 1.2× 2.9k 1.6× 302 20.2k
Wolff Schmiegel Germany 58 6.2k 0.8× 4.1k 0.8× 3.4k 0.9× 2.2k 0.6× 2.3k 1.2× 267 13.1k
Masakazu Yashiro Japan 58 4.6k 0.6× 5.3k 1.0× 2.0k 0.5× 2.6k 0.7× 2.4k 1.3× 364 10.9k

Countries citing papers authored by Andrew V. Biankin

Since Specialization
Citations

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

Fields of papers citing papers by Andrew V. Biankin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew V. Biankin

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew V. Biankin. A scholar is included among the top collaborators of Andrew V. Biankin 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 V. Biankin. Andrew V. Biankin 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.
Agostini, Antonio De, Geny Piro, Frediano Inzani, et al.. (2024). Identification of spatially-resolved markers of malignant transformation in Intraductal Papillary Mucinous Neoplasms. Nature Communications. 15(1). 2764–2764. 9 indexed citations
2.
3.
Canel, Marta, Rosanna Upstill‐Goddard, Catherine Davidson, et al.. (2023). FAK suppresses antigen processing and presentation to promote immune evasion in pancreatic cancer. Gut. 73(1). 131–155. 39 indexed citations
4.
Moser, Russell, James Annis, Olga Nikolova, et al.. (2022). Pharmacologic Targeting of TFIIH Suppresses KRAS-Mutant Pancreatic Ductal Adenocarcinoma and Synergizes with TRAIL. Cancer Research. 82(18). 3375–3393. 4 indexed citations
5.
Coudriet, Gina M., Angela Criscimanna, Aatur D. Singhi, et al.. (2019). Prolactin Promotes Fibrosis and Pancreatic Cancer Progression. Cancer Research. 79(20). 5316–5327. 38 indexed citations
6.
Pinho, Andreia V., Lorraine A. Chantrill, David Herrmann, et al.. (2018). ROBO2 is a stroma suppressor gene in the pancreas and acts via TGF-β signalling. Nature Communications. 9(1). 5083–5083. 40 indexed citations
7.
Dreyer, Stephan B., David K. Chang, Peter J. Bailey, & Andrew V. Biankin. (2017). Pancreatic Cancer Genomes: Implications for Clinical Management and Therapeutic Development. Clinical Cancer Research. 23(7). 1638–1646. 128 indexed citations
8.
Cooke, Susanna L., Darren Ennis, Lisa Evers, et al.. (2017). The Driver Mutational Landscape of Ovarian Squamous Cell Carcinomas Arising in Mature Cystic Teratoma. Clinical Cancer Research. 23(24). 7633–7640. 29 indexed citations
9.
Grimont, Adrien, Andreia V. Pinho, Mark J. Cowley, et al.. (2014). SOX9 regulates ERBB signalling in pancreatic cancer development. Gut. 64(11). 1790–1799. 67 indexed citations
10.
Hudson, Andrew, Tim Yates, Yaoyong Li, et al.. (2014). Discrepancies in Cancer Genomic Sequencing Highlight Opportunities for Driver Mutation Discovery. Cancer Research. 74(22). 6390–6396. 27 indexed citations
11.
Al‐Ejeh, Fares, Marina Pajic, Wei Shi, et al.. (2014). Gemcitabine and CHK1 Inhibition Potentiate EGFR-Directed Radioimmunotherapy against Pancreatic Ductal Adenocarcinoma. Clinical Cancer Research. 20(12). 3187–3197. 31 indexed citations
12.
Jamieson, Nigel B., Sean M. Grimmond, Andrew V. Biankin, & David K. Chang. (2014). Pancreatic cancer: challenges for therapeutic development. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1 indexed citations
13.
Stone, Andrew, Mark J. Cowley, Fátima Valdés‐Mora, et al.. (2013). BCL-2 Hypermethylation Is a Potential Biomarker of Sensitivity to Antimitotic Chemotherapy in Endocrine-Resistant Breast Cancer. Molecular Cancer Therapeutics. 12(9). 1874–1885. 39 indexed citations
14.
Cao, Ying, Luke H. Hoeppner, Yan Guo, et al.. (2013). Neuropilin-2 Promotes Extravasation and Metastasis by Interacting with Endothelial α5 Integrin. Cancer Research. 73(14). 4579–4590. 86 indexed citations
15.
Lobo, Víctor J. Sánchez‐Arévalo, Andreia V. Pinho, Amanda Mawson, et al.. (2013). Sirtuin-1 Regulates Acinar-to-Ductal Metaplasia and Supports Cancer Cell Viability in Pancreatic Cancer. Cancer Research. 73(7). 2357–2367. 61 indexed citations
16.
Hochgräfe, Falko, Luxi Zhang, Sandra O’Toole, et al.. (2010). Tyrosine Phosphorylation Profiling Reveals the Signaling Network Characteristics of Basal Breast Cancer Cells. Cancer Research. 70(22). 9391–9401. 141 indexed citations
17.
Xu, Zhihong, Alain Vonlaufen, Phoebe A. Phillips, et al.. (2010). Role of Pancreatic Stellate Cells in Pancreatic Cancer Metastasis. American Journal Of Pathology. 177(5). 2585–2596. 286 indexed citations
18.
Tothill, Richard W., Adam Kowalczyk, Danny Rischin, et al.. (2005). An Expression-Based Site of Origin Diagnostic Method Designed for Clinical Application to Cancer of Unknown Origin. Cancer Research. 65(10). 4031–4040. 153 indexed citations
19.
Prasad, Nijaguna B., Andrew V. Biankin, Noriyoshi Fukushima, et al.. (2005). Gene Expression Profiles in Pancreatic Intraepithelial Neoplasia Reflect the Effects of Hedgehog Signaling on Pancreatic Ductal Epithelial Cells. Cancer Research. 65(5). 1619–1626. 186 indexed citations
20.
Hruban, Ralph H., Kyoichi Takaori, David S. Klimstra, et al.. (2004). An Illustrated Consensus on the Classification of Pancreatic Intraepithelial Neoplasia and Intraductal Papillary Mucinous Neoplasms. The American Journal of Surgical Pathology. 28(8). 977–987. 761 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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