Douglas E. Biancur

5.1k total citations · 3 hit papers
18 papers, 3.5k citations indexed

About

Douglas E. Biancur is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Douglas E. Biancur has authored 18 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Douglas E. Biancur's work include Cancer, Hypoxia, and Metabolism (6 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Autophagy in Disease and Therapy (5 papers). Douglas E. Biancur is often cited by papers focused on Cancer, Hypoxia, and Metabolism (6 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Autophagy in Disease and Therapy (5 papers). Douglas E. Biancur collaborates with scholars based in United States, France and Canada. Douglas E. Biancur's co-authors include Alec C. Kimmelman, Xiaoxu Wang, Joseph D. Mancias, Albert S.W. Sohn, Robert S. Banh, Keisuke Yamamoto, Cristovão M. Sousa, Elaine Y. Lin, João A. Paulo and J. Wade Harper and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Douglas E. Biancur

18 papers receiving 3.5k citations

Hit Papers

Autophagy promotes immune evasion of pancreatic... 2015 2026 2018 2022 2020 2016 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Douglas E. Biancur United States 16 1.8k 1.2k 1.1k 852 671 18 3.5k
Federica Barbieri Italy 40 1.8k 1.0× 717 0.6× 1.7k 1.6× 712 0.8× 598 0.9× 111 4.3k
Tiziana Annese Italy 30 1.7k 1.0× 772 0.6× 800 0.8× 264 0.3× 548 0.8× 99 3.2k
Limin Xia China 39 2.8k 1.5× 1.4k 1.1× 1.0k 0.9× 356 0.4× 594 0.9× 142 4.1k
Shetal Patel United States 18 1.4k 0.8× 1.2k 1.0× 842 0.8× 241 0.3× 596 0.9× 40 3.0k
Chrysiis Michaloglou United Kingdom 8 3.3k 1.8× 810 0.7× 1.4k 1.3× 436 0.5× 1.1k 1.7× 12 5.5k
Erik Maquoi Belgium 35 1.3k 0.7× 1.5k 1.2× 1.0k 1.0× 596 0.7× 415 0.6× 59 3.3k
Annamaria Rapisarda United States 26 2.0k 1.1× 1.9k 1.6× 1.1k 1.0× 231 0.3× 881 1.3× 38 3.8k
Wei‐Zhong Wu China 41 3.5k 1.9× 1.9k 1.5× 2.1k 1.9× 398 0.5× 1.0k 1.5× 107 5.7k
Zhimin He China 36 3.0k 1.7× 1.4k 1.2× 1.2k 1.1× 269 0.3× 422 0.6× 108 4.2k
Paloma Bragado Spain 21 1.5k 0.8× 956 0.8× 1.7k 1.6× 234 0.3× 386 0.6× 48 3.1k

Countries citing papers authored by Douglas E. Biancur

Since Specialization
Citations

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

Fields of papers citing papers by Douglas E. Biancur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Douglas E. Biancur. 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 Douglas E. Biancur. The network helps show where Douglas E. Biancur may publish in the future.

Co-authorship network of co-authors of Douglas E. Biancur

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

All Works

18 of 18 papers shown
1.
Encarnación-Rosado, Joel, Albert S.W. Sohn, Douglas E. Biancur, et al.. (2023). Targeting pancreatic cancer metabolic dependencies through glutamine antagonism. Nature Cancer. 5(1). 85–99. 65 indexed citations
2.
Konieczny, Piotr, Yue Xing, Ikjot Sidhu, et al.. (2022). Interleukin-17 governs hypoxic adaptation of injured epithelium. Science. 377(6602). eabg9302–eabg9302. 137 indexed citations
3.
Santana-Codina, Naiara, Huan Zhang, Maria Quiles del Rey, et al.. (2022). Abstract A075: NCOA4-mediated ferritinophagy is a pancreatic cancer dependency via maintenance of iron bioavailability for iron-sulfur cluster proteins. Cancer Research. 82(22_Supplement). A075–A075. 1 indexed citations
4.
Mukhopadhyay, Subhadip, Douglas E. Biancur, Seth J. Parker, et al.. (2021). Autophagy is required for proper cysteine homeostasis in pancreatic cancer through regulation of SLC7A11. Proceedings of the National Academy of Sciences. 118(6). 58 indexed citations
5.
Banh, Robert S., Esther Kim, Quentin Spillier, et al.. (2021). The polar oxy-metabolome reveals the 4-hydroxymandelate CoQ10 synthesis pathway. Nature. 597(7876). 420–425. 37 indexed citations
6.
Banh, Robert S., Douglas E. Biancur, Keisuke Yamamoto, et al.. (2020). Neurons Release Serine to Support mRNA Translation in Pancreatic Cancer. Cell. 183(5). 1202–1218.e25. 185 indexed citations
7.
Biancur, Douglas E., Kevin S. Kapner, Keisuke Yamamoto, et al.. (2020). Functional Genomics Identifies Metabolic Vulnerabilities in Pancreatic Cancer. Cell Metabolism. 33(1). 199–210.e8. 58 indexed citations
8.
Yamamoto, Keisuke, Anthony Venida, Douglas E. Biancur, et al.. (2020). Autophagy promotes immune evasion of pancreatic cancer by degrading MHC-I. Nature. 581(7806). 100–105. 844 indexed citations breakdown →
9.
Kunjachan, Sijumon, Alexandre Detappe, Jennifer M. Hayashi, et al.. (2020). Noninvasive imaging of tumor hypoxia after nanoparticle-mediated tumor vascular disruption. PLoS ONE. 15(7). e0236245–e0236245. 5 indexed citations
10.
Santana-Codina, Naiara, Sebastian Gableske, Maria Quiles del Rey, et al.. (2019). NCOA4 maintains murine erythropoiesis via cell autonomous and non-autonomous mechanisms. Haematologica. 104(7). 1342–1354. 45 indexed citations
11.
Yang, Annan, Grit S. Herter-Sprie, Haikuo Zhang, et al.. (2018). Autophagy Sustains Pancreatic Cancer Growth through Both Cell-Autonomous and Nonautonomous Mechanisms. Cancer Discovery. 8(3). 276–287. 240 indexed citations
12.
Biancur, Douglas E. & Alec C. Kimmelman. (2018). The plasticity of pancreatic cancer metabolism in tumor progression and therapeutic resistance. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1870(1). 67–75. 104 indexed citations
13.
Biancur, Douglas E., João A. Paulo, Beata Małachowska, et al.. (2017). Compensatory metabolic networks in pancreatic cancers upon perturbation of glutamine metabolism. Nature Communications. 8(1). 15965–15965. 229 indexed citations
14.
Sayin, Volkan I., Sarah E. LeBoeuf, Simranjit X. Singh, et al.. (2017). Activation of the NRF2 antioxidant program generates an imbalance in central carbon metabolism in cancer. eLife. 6. 175 indexed citations
15.
Detappe, Alexandre, Sijumon Kunjachan, Pascal Drané, et al.. (2016). Key clinical beam parameters for nanoparticle-mediated radiation dose amplification. Scientific Reports. 6(1). 34040–34040. 26 indexed citations
16.
Detappe, Alexandre, Sijumon Kunjachan, Lucie Sancey, et al.. (2016). Advanced multimodal nanoparticles delay tumor progression with clinical radiation therapy. Journal of Controlled Release. 238. 103–113. 71 indexed citations
17.
Sousa, Cristovão M., Douglas E. Biancur, Xiaoxu Wang, et al.. (2016). Pancreatic stellate cells support tumour metabolism through autophagic alanine secretion. Nature. 536(7617). 479–483. 813 indexed citations breakdown →
18.
Mancias, Joseph D., Laura Pontano Vaites, Sahar Nissim, et al.. (2015). Ferritinophagy via NCOA4 is required for erythropoiesis and is regulated by iron dependent HERC2-mediated proteolysis. eLife. 4. 410 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026