Andrew L. Wolfe

1.8k total citations
21 papers, 916 citations indexed

About

Andrew L. Wolfe is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Andrew L. Wolfe has authored 21 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Andrew L. Wolfe's work include Peptidase Inhibition and Analysis (5 papers), Ubiquitin and proteasome pathways (5 papers) and MicroRNA in disease regulation (4 papers). Andrew L. Wolfe is often cited by papers focused on Peptidase Inhibition and Analysis (5 papers), Ubiquitin and proteasome pathways (5 papers) and MicroRNA in disease regulation (4 papers). Andrew L. Wolfe collaborates with scholars based in United States, Belgium and South Korea. Andrew L. Wolfe's co-authors include Konstantinos J. Mavrakis, Hans‐Guido Wendel, Christina S. Leslie, Aly A. Khan, Elisa Oricchio, Wayne Tam, Kim De Keersmaecker, Teresa Palomero, Joel S. Parker and Patrick J. Paddison and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Andrew L. Wolfe

19 papers receiving 904 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 L. Wolfe United States 11 689 401 172 116 92 21 916
Clare M. Adams United States 16 641 0.9× 225 0.6× 244 1.4× 122 1.1× 102 1.1× 26 858
Valentina Serafin Italy 14 545 0.8× 294 0.7× 162 0.9× 59 0.5× 110 1.2× 28 783
Rita Fragoso Portugal 13 387 0.6× 231 0.6× 126 0.7× 33 0.3× 167 1.8× 17 654
Xiaomin Zhong China 19 853 1.2× 617 1.5× 141 0.8× 30 0.3× 100 1.1× 38 1.1k
Delphine Ndiaye‐Lobry United States 10 852 1.2× 92 0.2× 226 1.3× 54 0.5× 219 2.4× 16 1.2k
Alice Cani Italy 14 394 0.6× 121 0.3× 126 0.7× 80 0.7× 63 0.7× 26 645
Anuhar Chaturvedi Germany 18 665 1.0× 167 0.4× 127 0.7× 58 0.5× 108 1.2× 33 1.1k
Hind Medyouf Germany 13 526 0.8× 157 0.4× 298 1.7× 56 0.5× 220 2.4× 23 976
Paloma García United Kingdom 18 745 1.1× 159 0.4× 248 1.4× 36 0.3× 112 1.2× 41 1.1k
Junli Yan Singapore 12 536 0.8× 195 0.5× 171 1.0× 141 1.2× 193 2.1× 22 786

Countries citing papers authored by Andrew L. Wolfe

Since Specialization
Citations

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

Fields of papers citing papers by Andrew L. Wolfe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew L. Wolfe

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew L. Wolfe. A scholar is included among the top collaborators of Andrew L. Wolfe 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 L. Wolfe. Andrew L. Wolfe 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.
2.
Das, J., et al.. (2025). IMPlications of IMP2 in RNA Biology and Disease. International Journal of Molecular Sciences. 26(6). 2415–2415.
3.
Lam, D., Mary E. Gerritsen, Tilmann M. Brotz, et al.. (2025). Abstract 4368: Selective targeting of oncogenic KRAS G12D using complementary peptide nucleic acid oligomers. Cancer Research. 85(8_Supplement_1). 4368–4368.
4.
Wolfe, Andrew L., et al.. (2024). KRAS: Biology, Inhibition, and Mechanisms of Inhibitor Resistance. Current Oncology. 31(4). 2024–2046. 16 indexed citations
5.
Keinänen, Outi, et al.. (2024). Cadherin-17 as a target for the immunoPET of adenocarcinoma. European Journal of Nuclear Medicine and Molecular Imaging. 51(9). 2547–2557. 2 indexed citations
6.
Wolfe, Andrew L., Qingwen Zhou, Eneda Toska, et al.. (2021). UDP-glucose pyrophosphorylase 2, a regulator of glycogen synthesis and glycosylation, is critical for pancreatic cancer growth. Proceedings of the National Academy of Sciences. 118(31). 35 indexed citations
7.
Sanghvi, Viraj R., Kamini Singh, Linlin Cao, et al.. (2021). NRF2 Activation Confers Resistance to eIF4A Inhibitors in Cancer Therapy. Cancers. 13(4). 639–639. 17 indexed citations
8.
Wolfe, Andrew L., et al.. (2021). Targeting cancer’s sweet spot: UGP2 as a therapeutic vulnerability. Molecular & Cellular Oncology. 8(6). 1990676–1990676. 6 indexed citations
9.
Pappas, Kyrie, Tiphaine Martin, Andrew L. Wolfe, et al.. (2021). NOTCH and EZH2 collaborate to repress PTEN expression in breast cancer. Communications Biology. 4(1). 312–312. 25 indexed citations
10.
Wolfe, Andrew L., Jacqueline Galeas, Eneda Toska, et al.. (2020). Abstract 1470: UGP2 is a critical regulator of protein glycosylation in pancreatic cancer. Cancer Research. 80(16_Supplement). 1470–1470. 1 indexed citations
11.
Riquelme, Sebastián A., Benjamin D. Hopkins, Andrew L. Wolfe, et al.. (2017). Cystic Fibrosis Transmembrane Conductance Regulator Attaches Tumor Suppressor PTEN to the Membrane and Promotes Anti Pseudomonas aeruginosa Immunity. Immunity. 47(6). 1169–1181.e7. 43 indexed citations
12.
田中, 義夫, et al.. (2015). Protein translational control and its contribution to oncogenesis revealed by computational methods. BMC Bioinformatics. 16(S2). 2 indexed citations
13.
Wendel, Hans‐Guido, Kamini Singh, Andrew L. Wolfe, et al.. (2014). 558 RNA G-quadruplexes cause eIF4A-dependent oncogene translation in cancer. European Journal of Cancer. 50. 181–181. 3 indexed citations
14.
Sanghvi, Viraj R., Konstantinos J. Mavrakis, Joni Van der Meulen, et al.. (2014). Characterization of a set of tumor suppressor microRNAs in T cell acute lymphoblastic leukemia. Science Signaling. 7(352). ra111–ra111. 34 indexed citations
15.
Schatz, Jonathan H., Elisa Oricchio, Andrew L. Wolfe, et al.. (2011). Targeting cap-dependent translation blocks converging survival signals by AKT and PIM kinases in lymphoma. The Journal of Experimental Medicine. 208(9). 1799–1807. 89 indexed citations
16.
Mavrakis, Konstantinos J., Joni Van der Meulen, Andrew L. Wolfe, et al.. (2011). A cooperative microRNA-tumor suppressor gene network in acute T-cell lymphoblastic leukemia (T-ALL). Nature Genetics. 43(7). 673–678. 214 indexed citations
17.
Oricchio, Elisa, Gouri J. Nanjangud, Andrew L. Wolfe, et al.. (2011). The Eph-Receptor A7 Is a Soluble Tumor Suppressor for Follicular Lymphoma. Cell. 147(3). 554–564. 128 indexed citations
18.
Mets, Evelien, Joni Van der Meulen, Konstantinos J. Mavrakis, et al.. (2011). A cooperative microRNA–tumor suppressor gene network in acute T-cell lymphoblastic leukemia (T-ALL). Ghent University Academic Bibliography (Ghent University). 17 indexed citations
19.
Schatz, Jonathan H., Elisa Oricchio, Andrew L. Wolfe, et al.. (2011). Targeting cap-dependent translation blocks converging survival signals by AKT and PIM kinases in lymphoma. The Journal of Cell Biology. 194(5). i9–i9. 3 indexed citations
20.
Mavrakis, Konstantinos J., Andrew L. Wolfe, Elisa Oricchio, et al.. (2010). Genome-wide RNA-mediated interference screen identifies miR-19 targets in Notch-induced T-cell acute lymphoblastic leukaemia. Nature Cell Biology. 12(4). 372–379. 275 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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