Anthony C. Bishop

487 total citations
11 papers, 392 citations indexed

About

Anthony C. Bishop is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Anthony C. Bishop has authored 11 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Epidemiology. Recurrent topics in Anthony C. Bishop's work include Pancreatic and Hepatic Oncology Research (3 papers), Protein Structure and Dynamics (3 papers) and Neuroendocrine Tumor Research Advances (2 papers). Anthony C. Bishop is often cited by papers focused on Pancreatic and Hepatic Oncology Research (3 papers), Protein Structure and Dynamics (3 papers) and Neuroendocrine Tumor Research Advances (2 papers). Anthony C. Bishop collaborates with scholars based in United States, Australia and United Kingdom. Anthony C. Bishop's co-authors include Laurie Witucki, Kevan M. Shokat, Eiji Shimizu, Brian Kraybill, Kevan M. Shokat, Justin D. Blethrow, Yi Liu, Kavita Shah, Joe Z. Tsien and David O. Morgan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Anthony C. Bishop

11 papers receiving 383 citations

Peers

Anthony C. Bishop
Xiaming Pang United States
Marieke Lamers United Kingdom
Patrick R. Cushing United States
Chan-I Chung United States
Catherine Stace United Kingdom
Matthew J. Henley United States
Anthony C. Bishop
Citations per year, relative to Anthony C. Bishop Anthony C. Bishop (= 1×) peers Neta Gurwicz

Countries citing papers authored by Anthony C. Bishop

Since Specialization
Citations

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

Fields of papers citing papers by Anthony C. Bishop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony C. Bishop

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

All Works

11 of 11 papers shown
1.
Burns, Christopher J., Terrie‐Anne Cock, Anthony C. Bishop, et al.. (2024). Phase 1b/2a of narmafotinib (AMP945) in combination with gemcitabine and nab-paclitaxel in first-line patients with advanced pancreatic cancer (ACCENT trial): Interim analysis.. Journal of Clinical Oncology. 42(16_suppl). e16337–e16337. 1 indexed citations
3.
Bishop, Anthony C., et al.. (2023). Robust automated backbone triple resonance NMR assignments of proteins using Bayesian-based simulated annealing. Nature Communications. 14(1). 1556–1556. 9 indexed citations
4.
Gor, Jayesh, et al.. (2022). A solution structure analysis reveals a bent collagen triple helix in the complement activation recognition molecule mannan-binding lectin. Journal of Biological Chemistry. 299(2). 102799–102799. 5 indexed citations
5.
Lambert, John, et al.. (2022). Abstract A015: Rationale for the use of pulsed rather than continual dosing of the novel Focal Adhesion Kinase inhibitor AMP945 in pancreatic cancer. Cancer Research. 82(22_Supplement). A015–A015. 1 indexed citations
6.
Bishop, Anthony C., et al.. (2020). Sequence-independent recognition of the amyloid structural motif by GFP protein family. Proceedings of the National Academy of Sciences. 117(36). 22122–22127. 7 indexed citations
7.
Nan, Ruodan, David W. Wright, Jayesh Gor, et al.. (2017). Non-linearity of the collagen triple helix in solution and implications for collagen function. Biochemical Journal. 474(13). 2203–2217. 19 indexed citations
8.
Bishop, Anthony C., et al.. (2013). Bacterial expression and purification of the amyloidogenic peptide PAPf39 for multidimensional NMR spectroscopy. Protein Expression and Purification. 88(2). 196–200. 6 indexed citations
9.
Liu, Yi, Anthony C. Bishop, Laurie Witucki, et al.. (1999). Structural basis for selective inhibition of Src family kinases by PP1. Chemistry & Biology. 6(9). 671–678. 211 indexed citations
10.
Bishop, Anthony C., et al.. (1999). Generation of Monospecific Nanomolar Tyrosine Kinase Inhibitors via a Chemical Genetic Approach. Journal of the American Chemical Society. 121(4). 627–631. 124 indexed citations
11.
Bishop, Anthony C., et al.. (1997). Screening a hydroxystilbene library for selective inhibition of the B cell antigen receptor kinase cascade. Tetrahedron. 53(35). 11995–12004. 7 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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