Wayne C. Widdison

3.7k total citations · 1 hit paper
34 papers, 2.8k citations indexed

About

Wayne C. Widdison is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Wayne C. Widdison has authored 34 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Oncology and 13 papers in Molecular Biology. Recurrent topics in Wayne C. Widdison's work include Monoclonal and Polyclonal Antibodies Research (24 papers), HER2/EGFR in Cancer Research (23 papers) and Radiopharmaceutical Chemistry and Applications (8 papers). Wayne C. Widdison is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (24 papers), HER2/EGFR in Cancer Research (23 papers) and Radiopharmaceutical Chemistry and Applications (8 papers). Wayne C. Widdison collaborates with scholars based in United States. Wayne C. Widdison's co-authors include Ravi Chari, Michael L. Miller, Sharon Wilhelm, Yelena Kovtun, Victor S. Goldmacher, Hans K. Erickson, Robert J. Lutz, Rajeeva Singh, Walter A. Blättler and Lisa M. Garrett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Wayne C. Widdison

32 papers receiving 2.7k 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.

Antibody–Drug Conjugates: An Emerging Concept in Cancer Therapy

2014 759 citations Ravi Chari, Michael L. Miller et al. Angewandte Chemie International Edition profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wayne C. Widdison United States	17	1.8k	1.7k	1.1k	493	219	34	2.8k
Nicole M. Okeley United States	22	1.4k 0.8×	1.4k 0.8×	1.2k 1.2×	443 0.9×	316 1.4×	38	2.8k
Robert P. Lyon United States	22	1.4k 0.8×	1.4k 0.8×	984 0.9×	340 0.7×	202 0.9×	45	2.4k
Tim D. Bovee United States	6	1.5k 0.8×	1.4k 0.8×	881 0.8×	314 0.6×	155 0.7×	10	2.2k
Brian A. Mendelsohn United States	26	1.5k 0.8×	1.5k 0.9×	1.0k 1.0×	667 1.4×	151 0.7×	39	2.6k
Brian E. Toki United States	14	1.6k 0.9×	1.4k 0.8×	1.1k 1.1×	549 1.1×	325 1.5×	15	2.9k
Martha E. Anderson United States	18	1.4k 0.8×	1.1k 0.7×	865 0.8×	280 0.6×	288 1.3×	38	2.1k
Roger F. Zabinski United States	11	1.4k 0.8×	1.2k 0.7×	808 0.8×	206 0.4×	197 0.9×	11	2.1k
Hans K. Erickson United States	21	1.3k 0.8×	1.2k 0.7×	809 0.8×	207 0.4×	163 0.7×	43	2.1k
Dana F. Chace United States	15	1.9k 1.1×	1.8k 1.1×	1.1k 1.0×	228 0.5×	550 2.5×	22	3.1k
Elaine Mai United States	13	1.7k 1.0×	1.5k 0.9×	809 0.8×	127 0.3×	256 1.2×	20	2.3k

Countries citing papers authored by Wayne C. Widdison

Since Specialization

Citations

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

Fields of papers citing papers by Wayne C. Widdison

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne C. Widdison. 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 Wayne C. Widdison. The network helps show where Wayne C. Widdison may publish in the future.

Co-authorship network of co-authors of Wayne C. Widdison

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne C. Widdison. A scholar is included among the top collaborators of Wayne C. Widdison 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 Wayne C. Widdison. Wayne C. Widdison 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

Yoder, Nicholas C., Chen Bai, Wayne C. Widdison, et al.. (2019). A Case Study Comparing Heterogeneous Lysine- and Site-Specific Cysteine-Conjugated Maytansinoid Antibody-Drug Conjugates (ADCs) Illustrates the Benefits of Lysine Conjugation. Molecular Pharmaceutics. 16(9). 3926–3937. 30 indexed citations

Qiu, Qifeng, Jose F. Ponte, Leanne Lanieri, et al.. (2019). Peptide-Cleavable Self-immolative Maytansinoid Antibody–Drug Conjugates Designed To Provide Improved Bystander Killing. ACS Medicinal Chemistry Letters. 10(10). 1393–1399. 18 indexed citations

Li, Wěi, Qifeng Qiu, Kerstin W. Sinkevicius, et al.. (2019). Synthesis and Evaluation of Camptothecin Antibody–Drug Conjugates. ACS Medicinal Chemistry Letters. 10(10). 1386–1392. 30 indexed citations

Shi, Chuan, Shalom D. Goldberg, Vadim Dudkin, et al.. (2018). LC/MS/MS Bioanalysis of Protein–Drug Conjugates—The Importance of Incorporating Succinimide Hydrolysis Products. Analytical Chemistry. 90(8). 5314–5321. 13 indexed citations

Shi, Chuan, Shalom D. Goldberg, Vadim Dudkin, et al.. (2018). Bioanalytical Workflow for Novel Scaffold Protein–Drug Conjugates: Quantitation of Total Centyrin Protein, Conjugated Centyrin and Free Payload for Centyrin–Drug Conjugate in Plasma and Tissue Samples Using Liquid Chromatography–Tandem Mass Spectrometry. Bioanalysis. 10(20). 1651–1665. 10 indexed citations

Chari, Ravi, Michael L. Miller, & Wayne C. Widdison. (2014). Antibody–Drug Conjugates: An Emerging Concept in Cancer Therapy. Angewandte Chemie International Edition. 53(15). 3796–3827. 759 indexed citations breakdown →

Chari, Ravi, Michael L. Miller, & Wayne C. Widdison. (2014). ChemInform Abstract: Antibody—Drug Conjugates: An Emerging Concept in Cancer Therapy. ChemInform. 45(22). 1 indexed citations

Ponte, Jose F., Xiuxia Sun, Nicholas C. Yoder, et al.. (2013). Abstract 5677: The anti-EGFR ADC, IMGN289 displays favorable pharmacokinetic properties.. Cancer Research. 73(8_Supplement). 5677–5677. 1 indexed citations

Singh, Rajeeva, Nathan Fishkin, Yelena Kovtun, et al.. (2013). Abstract C164: New tri-glycyl peptide linker offers advantages for maytansinoid antibody-drug conjugates (ADCs).. Molecular Cancer Therapeutics. 12(11_Supplement). C164–C164.

10.

Zhao, Robert Y., Sharon Wilhelm, Charlene A. Audette, et al.. (2011). Synthesis and Evaluation of Hydrophilic Linkers for Antibody–Maytansinoid Conjugates. Journal of Medicinal Chemistry. 54(10). 3606–3623. 150 indexed citations

11.

Lopus, Manu, Emin Oroudjev, Leslie Wilson, et al.. (2010). Maytansine and Cellular Metabolites of Antibody-Maytansinoid Conjugates Strongly Suppress Microtubule Dynamics by Binding to Microtubules. Molecular Cancer Therapeutics. 9(10). 2689–2699. 169 indexed citations

12.

Kovtun, Yelena, Charlene A. Audette, Michele Mayo, et al.. (2010). Antibody-Maytansinoid Conjugates Designed to Bypass Multidrug Resistance. Cancer Research. 70(6). 2528–2537. 194 indexed citations

13.

Erickson, Hans K., Wayne C. Widdison, Michele Mayo, et al.. (2009). Tumor Delivery and In Vivo Processing of Disulfide-Linked and Thioether-Linked Antibody−Maytansinoid Conjugates. Bioconjugate Chemistry. 21(1). 84–92. 174 indexed citations

14.

Erickson, Hans K., Sharon Wilhelm, Wayne C. Widdison, et al.. (2008). Evaluation of the cytotoxic potencies of the major maytansinoid metabolites of antibody maytansinoid conjugates detected in vitro and in preclinical mouse models. Cancer Research. 68. 2150–2150. 4 indexed citations

15.

Lopus, Manu, Emin Oroudjev, Leslie Wilson, et al.. (2008). Maytansine derivatives and metabolites of antibody-maytansinoid conjugates inhibit microtubule polymerization and strongly suppress microtubule dynamics. Cancer Research. 68. 1406–1406. 1 indexed citations

16.

Erickson, Hans K., Michele Mayo, Wayne C. Widdison, et al.. (2007). Linker selection in antibody-maytansinoid conjugates impacts bystander killing in mouse xenograft models. Molecular Cancer Therapeutics. 6. 1 indexed citations

17.

Erickson, Hans K., Peter U. Park, Wayne C. Widdison, et al.. (2006). Antibody-Maytansinoid Conjugates Are Activated in Targeted Cancer Cells by Lysosomal Degradation and Linker-Dependent Intracellular Processing. Cancer Research. 66(8). 4426–4433. 421 indexed citations

18.

Widdison, Wayne C., Sharon Wilhelm, Kathleen R. Whiteman, et al.. (2006). Semisynthetic Maytansine Analogues for the Targeted Treatment of Cancer. Journal of Medicinal Chemistry. 49(14). 4392–4408. 231 indexed citations

19.

Lutz, Robert J., Hongsheng Xie, Wayne C. Widdison, et al.. (2005). HuC242-DM4, an antibody-maytansinoid conjugate with superior preclinical activity in human CanAg-positive tumor xenograft models in SCID mice. Cancer Research. 65. 334–335. 5 indexed citations

20.

Baldwin, John E. & Wayne C. Widdison. (1992). The .alpha.- and .beta.-deuterium kinetic isotope effects on the inactivation of the general acyl-coenzyme A dehydrogenase from pig kidney by (2-methylenecyclopropane)acetyl-CoA. Journal of the American Chemical Society. 114(6). 2245–2251. 18 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