Brian E. Toki

3.7k total citations · 2 hit papers
15 papers, 2.9k citations indexed

About

Brian E. Toki is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Brian E. Toki has authored 15 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Oncology and 7 papers in Molecular Biology. Recurrent topics in Brian E. Toki's work include Monoclonal and Polyclonal Antibodies Research (10 papers), HER2/EGFR in Cancer Research (8 papers) and Glycosylation and Glycoproteins Research (4 papers). Brian E. Toki is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), HER2/EGFR in Cancer Research (8 papers) and Glycosylation and Glycoproteins Research (4 papers). Brian E. Toki collaborates with scholars based in United States and Germany. Brian E. Toki's co-authors include Peter D. Senter, Charles G. Cerveny, Alan F. Wahl, Damon L. Meyer, Svetlana O. Doronina, Joseph A. Francisco, Dana F. Chace, Clay B. Siegall, Brian A. Mendelsohn and Tim D. Bovee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Nature Biotechnology.

In The Last Decade

Brian E. Toki

15 papers receiving 2.7k citations

Hit Papers

Development of potent monoclonal antibody auristatin conj... 2003 2026 2010 2018 2003 2003 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
Brian E. Toki United States 14 1.6k 1.4k 1.1k 549 352 15 2.9k
Nicole M. Okeley United States 22 1.4k 0.9× 1.4k 1.0× 1.2k 1.1× 443 0.8× 204 0.6× 38 2.8k
Svetlana O. Doronina United States 15 2.4k 1.5× 2.2k 1.6× 1.4k 1.2× 413 0.8× 455 1.3× 27 3.8k
Joseph A. Francisco United States 12 1.9k 1.2× 1.8k 1.3× 1.1k 1.0× 223 0.4× 489 1.4× 17 3.1k
Dana F. Chace United States 15 1.9k 1.2× 1.8k 1.3× 1.1k 0.9× 228 0.4× 482 1.4× 22 3.1k
Pamela A. Trail United States 29 1.5k 0.9× 1.2k 0.8× 1.7k 1.5× 265 0.5× 254 0.7× 61 3.7k
Charles G. Cerveny United States 16 2.7k 1.7× 2.4k 1.7× 1.4k 1.3× 331 0.6× 575 1.6× 26 4.1k
Brian A. Mendelsohn United States 26 1.5k 0.9× 1.5k 1.0× 1.0k 0.9× 667 1.2× 119 0.3× 39 2.6k
Tim D. Bovee United States 6 1.5k 0.9× 1.4k 1.0× 881 0.8× 314 0.6× 125 0.4× 10 2.2k
Edmund A. Rossi United States 38 1.8k 1.2× 2.9k 2.0× 1.4k 1.3× 365 0.7× 399 1.1× 85 4.3k
Damon L. Meyer United States 28 2.9k 1.8× 3.0k 2.1× 1.7k 1.5× 495 0.9× 597 1.7× 40 4.9k

Countries citing papers authored by Brian E. Toki

Since Specialization
Citations

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

Fields of papers citing papers by Brian E. Toki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian E. Toki

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

All Works

15 of 15 papers shown
1.
Burke, Patrick, Jocelyn R. Setter, Joshua H. Hunter, et al.. (2016). Development of Novel Quaternary Ammonium Linkers for Antibody–Drug Conjugates. Molecular Cancer Therapeutics. 15(5). 938–945. 45 indexed citations
2.
Okeley, Nicole M., Stephen C. Alley, Martha E. Anderson, et al.. (2013). Development of orally active inhibitors of protein and cellular fucosylation. Proceedings of the National Academy of Sciences. 110(14). 5404–5409. 147 indexed citations
3.
Okeley, Nicole M., Brian E. Toki, Xinqun Zhang, et al.. (2013). Metabolic Engineering of Monoclonal Antibody Carbohydrates for Antibody–Drug Conjugation. Bioconjugate Chemistry. 24(10). 1650–1655. 96 indexed citations
4.
Burke, Patrick, Brian E. Toki, David W. Meyer, et al.. (2009). Novel immunoconjugates comprised of streptonigrin and 17-amino-geldanamycin attached via a dipeptide-p-aminobenzyl-amine linker system. Bioorganic & Medicinal Chemistry Letters. 19(10). 2650–2653. 20 indexed citations
5.
Burke, Patrick, Peter D. Senter, David W. Meyer, et al.. (2009). Design, Synthesis, and Biological Evaluation of Antibody−Drug Conjugates Comprised of Potent Camptothecin Analogues. Bioconjugate Chemistry. 20(6). 1242–1250. 76 indexed citations
6.
Gordon, Kristine A., Brian E. Toki, Charles G. Cerveny, et al.. (2006). Lymphocyte Activation Antigen CD70 Expressed by Renal Cell Carcinoma Is a Potential Therapeutic Target for Anti-CD70 Antibody-Drug Conjugates. Cancer Research. 66(4). 2328–2337. 123 indexed citations
7.
Alderson, Ralph, Brian E. Toki, Wei Geng, et al.. (2006). Characterization of a CC49-Based Single-Chain Fragment−β-Lactamase Fusion Protein for Antibody-Directed Enzyme Prodrug Therapy (ADEPT). Bioconjugate Chemistry. 17(2). 410–418. 27 indexed citations
8.
Doronina, Svetlana O., Brian A. Mendelsohn, Tim D. Bovee, et al.. (2005). Enhanced Activity of Monomethylauristatin F through Monoclonal Antibody Delivery:  Effects of Linker Technology on Efficacy and Toxicity. Bioconjugate Chemistry. 17(1). 114–124. 383 indexed citations
9.
Senter, Peter D., Brian A. Mendelsohn, Brian E. Toki, et al.. (2004). Immunoconjugates comprised of drugs with impaired cellular permeability: A new approach to targeted therapy. Cancer Research. 64. 144–144. 2 indexed citations
10.
Doronina, Svetlana O., Brian E. Toki, Michael Torgov, et al.. (2003). Development of potent monoclonal antibody auristatin conjugates for cancer therapy. Nature Biotechnology. 21(7). 778–784. 903 indexed citations breakdown →
11.
Francisco, Joseph A., Charles G. Cerveny, Damon L. Meyer, et al.. (2003). cAC10-vcMMAE, an anti-CD30–monomethyl auristatin E conjugate with potent and selective antitumor activity. Blood. 102(4). 1458–1465. 668 indexed citations breakdown →
12.
Toki, Brian E., Charles G. Cerveny, Alan F. Wahl, & Peter D. Senter. (2002). Protease-Mediated Fragmentation of p-Amidobenzyl Ethers:  A New Strategy for the Activation of Anticancer Prodrugs. The Journal of Organic Chemistry. 67(6). 1866–1872. 65 indexed citations
13.
Pettit, George R., Brian E. Toki, Delbert L. Herald, et al.. (1999). Antineoplastic Agents. 410. Asymmetric Hydroxylation of trans-Combretastatin A-4. Journal of Medicinal Chemistry. 42(8). 1459–1465. 70 indexed citations
14.
Pettit, George R., Brian E. Toki, Jun‐Ping Xu, & Daniel C. Brune. (1999). Synthesis of the Marine Sponge Cycloheptapeptide Phakellistatin 5. Journal of Natural Products. 63(1). 22–28. 31 indexed citations
15.
Pettit, George R., Brian E. Toki, Delbert L. Herald, et al.. (1998). Antineoplastic Agents. 379. Synthesis of Phenstatin Phosphate1a,. Journal of Medicinal Chemistry. 41(10). 1688–1695. 214 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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