William Mallet

2.5k total citations
17 papers, 926 citations indexed

About

William Mallet is a scholar working on Molecular Biology, Cell Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, William Mallet has authored 17 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cell Biology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in William Mallet's work include Cellular transport and secretion (6 papers), Lipid Membrane Structure and Behavior (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). William Mallet is often cited by papers focused on Cellular transport and secretion (6 papers), Lipid Membrane Structure and Behavior (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). William Mallet collaborates with scholars based in United States, France and Switzerland. William Mallet's co-authors include Frederick R. Maxfield, Richik N. Ghosh, Timothy E. McGraw, Frances M. Brodsky, Amy Y. Huang, Sharron X. Lin, Keith E. Mostov, Michael Chang, Michael A. Trush and Jelveh Lameh and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

William Mallet

16 papers receiving 907 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Mallet United States 13 632 467 161 134 132 17 926
George Poy United States 12 720 1.1× 452 1.0× 135 0.8× 150 1.1× 321 2.4× 13 1.1k
W.J. Ou Canada 9 883 1.4× 590 1.3× 202 1.3× 61 0.5× 116 0.9× 10 1.2k
Deborah L. Cadena United States 8 1.0k 1.6× 272 0.6× 96 0.6× 124 0.9× 174 1.3× 10 1.3k
Dwight M. Morrow United States 14 950 1.5× 180 0.4× 191 1.2× 52 0.4× 213 1.6× 33 1.3k
Agnès Journet France 16 419 0.7× 307 0.7× 179 1.1× 35 0.3× 45 0.3× 24 942
Dale Powner United Kingdom 12 523 0.8× 323 0.7× 169 1.0× 27 0.2× 70 0.5× 19 779
Senye Takahashi Japan 18 802 1.3× 455 1.0× 92 0.6× 15 0.1× 148 1.1× 25 1.2k
Eric A. Atkinson Canada 11 510 0.8× 257 0.6× 355 2.2× 45 0.3× 106 0.8× 14 915
Oliver Nufer Switzerland 9 394 0.6× 313 0.7× 184 1.1× 21 0.2× 51 0.4× 11 666
Irmgard Hofmann Switzerland 7 509 0.8× 264 0.6× 59 0.4× 27 0.2× 228 1.7× 8 745

Countries citing papers authored by William Mallet

Since Specialization
Citations

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

Fields of papers citing papers by William Mallet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Mallet

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

All Works

17 of 17 papers shown
1.
Li, Jingjing, Cecelia I. Pearson, Karla A. Henning, et al.. (2025). Abstract 7339: A highly efficacious next-generation CEACAM5 (CEA)-targeted Boltbody™ ISAC for the treatment of colorectal, pancreatic and lung tumors. Cancer Research. 85(8_Supplement_1). 7339–7339.
2.
Karpov, Alexei S., Tinya J. Abrams, Joseph A. D’Alessio, et al.. (2018). Nicotinamide Phosphoribosyltransferase Inhibitor as a Novel Payload for Antibody–Drug Conjugates. ACS Medicinal Chemistry Letters. 9(8). 838–842. 29 indexed citations
3.
Grünewald, Jan, Heath E. Klock, Susan E. Cellitti, et al.. (2015). Efficient Preparation of Site-Specific Antibody–Drug Conjugates Using Phosphopantetheinyl Transferases. Bioconjugate Chemistry. 26(12). 2554–2562. 35 indexed citations
4.
Mai, Elaine, Zhong Zheng, Youjun Chen, et al.. (2013). Nonclinical Evaluation of the Serum Pharmacodynamic Biomarkers HGF and Shed MET following Dosing with the Anti-MET Monovalent Monoclonal Antibody Onartuzumab. Molecular Cancer Therapeutics. 13(2). 540–552. 10 indexed citations
5.
Bilic, Sanela, Douglas D. Leipold, William Mallet, et al.. (2013). American Association of Pharmaceutical Scientists National Biotechnology Conference Short Course: Translational Challenges in Developing Antibody-Drug Conjugates. mAbs. 5(1). 5–12. 10 indexed citations
6.
Chen, Youjun, Cécile Chalouni, Christine Tan, et al.. (2012). The Melanosomal Protein PMEL17 as a Target for Antibody Drug Conjugate Therapy in Melanoma. Journal of Biological Chemistry. 287(29). 24082–24091. 21 indexed citations
7.
Pastuskovas, Cinthia V., William Mallet, Suzanna Clark, et al.. (2010). Effect of Immune Complex Formation on the Distribution of a Novel Antibody to the Ovarian Tumor Antigen CA125. Drug Metabolism and Disposition. 38(12). 2309–2319. 16 indexed citations
8.
Chen, Youjun, Suzanna Clark, Terence Z. Wong, et al.. (2007). Armed Antibodies Targeting the Mucin Repeats of the Ovarian Cancer Antigen, MUC16, Are Highly Efficacious in Animal Tumor Models. Cancer Research. 67(10). 4924–4932. 70 indexed citations
9.
Mallet, William, et al.. (2004). Role of Cytoplasmic Domain Serines in Intracellular Trafficking of Furin. Molecular Biology of the Cell. 15(6). 2884–2894. 32 indexed citations
10.
Lin, Sharron X., William Mallet, Amy Y. Huang, & Frederick R. Maxfield. (2003). Endocytosed Cation-Independent Mannose 6-Phosphate Receptor Traffics via the Endocytic Recycling Compartment en Route to thetrans-Golgi Network and a Subpopulation of Late Endosomes. Molecular Biology of the Cell. 15(2). 721–733. 91 indexed citations
11.
Mallet, William & Frederick R. Maxfield. (1999). Chimeric Forms of Furin and Tgn38 Are Transported from the Plasma Membrane to the Trans-Golgi Network via Distinct Endosomal Pathways. The Journal of Cell Biology. 146(2). 345–360. 179 indexed citations
12.
Ghosh, Richik N., et al.. (1998). An Endocytosed TGN38 Chimeric Protein Is Delivered to the TGN after Trafficking through the Endocytic Recycling Compartment in CHO Cells. The Journal of Cell Biology. 142(4). 923–936. 211 indexed citations
13.
Mallet, William & Frances M. Brodsky. (1996). A membrane-associated protein complex with selective binding to the clathrin coat adaptor AP1. Journal of Cell Science. 109(13). 3059–3068. 22 indexed citations
14.
Chang, Michael, William Mallet, Keith E. Mostov, & Frances M. Brodsky. (1993). Adaptor self-aggregation, adaptor-receptor recognition and binding of alpha-adaptin subunits to the plasma membrane contribute to recruitment of adaptor (AP2) components of clathrin-coated pits.. The EMBO Journal. 12(5). 2169–2180. 88 indexed citations
15.
Esterline, Russell, et al.. (1991). Further Evidence for the Role of Myeloperoxidase in the Activation of Benzo[A]Pyrene-7,8-Dihydrodiol by Polymorpho-Nuclear Leukocytesm. Advances in experimental medicine and biology. 283. 399–401. 9 indexed citations
16.
17.
Maeda, Sadaaki, et al.. (1990). Internalization of the Hm1 muscarinic cholinergic receptor involves the third cytoplasmic loop. FEBS Letters. 269(2). 386–388. 48 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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