John Latigo

655 total citations
9 papers, 546 citations indexed

About

John Latigo is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, John Latigo has authored 9 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in John Latigo's work include Cancer, Hypoxia, and Metabolism (3 papers), Medical Imaging Techniques and Applications (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). John Latigo is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Medical Imaging Techniques and Applications (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). John Latigo collaborates with scholars based in United Kingdom, Sweden and India. John Latigo's co-authors include Eric O. Aboagye, Meg Perumal, Henryk Barthel, Qimin He, David M. Vigushin, John P. Alao, Frank Brady, Sajinder K. Luthra, Nicholas R. Lemoine and Radhakrishna G. Pillai and has published in prestigious journals such as Cancer Research, Drug Metabolism and Disposition and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

John Latigo

9 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Latigo United Kingdom 8 257 175 138 126 89 9 546
Patrizia Alessi Italy 16 332 1.3× 126 0.7× 131 0.9× 114 0.9× 77 0.9× 16 664
Michael A. Dengler Germany 14 455 1.8× 51 0.3× 109 0.8× 143 1.1× 118 1.3× 24 706
Annemarie M.A. de Graaf Netherlands 7 432 1.7× 57 0.3× 128 0.9× 135 1.1× 89 1.0× 10 583
Shenghua Wen United States 11 396 1.5× 108 0.6× 202 1.5× 142 1.1× 89 1.0× 21 616
Hitomi Sudo Japan 17 246 1.0× 289 1.7× 235 1.7× 100 0.8× 167 1.9× 56 766
S-H Chang South Korea 7 315 1.2× 79 0.5× 148 1.1× 144 1.1× 81 0.9× 8 637
Desirée L. Bos Netherlands 15 159 0.6× 216 1.2× 149 1.1× 34 0.3× 93 1.0× 33 573
Wenny J.M. Peeters Netherlands 15 206 0.8× 285 1.6× 137 1.0× 307 2.4× 156 1.8× 23 683
Sherry Yang United States 10 210 0.8× 65 0.4× 305 2.2× 115 0.9× 60 0.7× 32 645
Oussama Karroum Belgium 11 217 0.8× 134 0.8× 136 1.0× 208 1.7× 52 0.6× 15 725

Countries citing papers authored by John Latigo

Since Specialization
Citations

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

Fields of papers citing papers by John Latigo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Latigo

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

All Works

9 of 9 papers shown
1.
Kaliszczak, Maciej, Laurence Carroll, Zachary T. Schug, et al.. (2020). Tracing Nutrient Flux Following Monocarboxylate Transporter-1 Inhibition with AZD3965. Cancers. 12(6). 1703–1703. 15 indexed citations
2.
Troy, Helen, Yuen‐Li Chung, Paul M.J. McSheehy, et al.. (2011). Adaptation to HIF-1 deficiency by upregulation of the AMP/ATP ratio and phosphofructokinase activation in hepatomas. BMC Cancer. 11(1). 198–198. 24 indexed citations
3.
Pardo, Olivier E., John Latigo, Rosemary Jeffery, et al.. (2009). The Fibroblast Growth Factor Receptor Inhibitor PD173074 Blocks Small Cell Lung Cancer Growth In vitro and In vivo. Cancer Research. 69(22). 8645–8651. 134 indexed citations
4.
Leyton, Julius, John P. Alao, Marco Da Costa, et al.. (2006). In vivoBiological Activity of the Histone Deacetylase Inhibitor LAQ824 Is detectable with 3′-Deoxy-3′-[18F]Fluorothymidine Positron Emission Tomography. Cancer Research. 66(15). 7621–7629. 59 indexed citations
5.
Perumal, Meg, Radhakrishna G. Pillai, Henryk Barthel, et al.. (2006). Redistribution of Nucleoside Transporters to the Cell Membrane Provides a Novel Approach for Imaging Thymidylate Synthase Inhibition by Positron Emission Tomography. Cancer Research. 66(17). 8558–8564. 80 indexed citations
6.
Sanderson, Lisa, Graham W. Taylor, Eric O. Aboagye, et al.. (2004). PLASMA PHARMACOKINETICS AND METABOLISM OF THE HISTONE DEACETYLASE INHIBITOR TRICHOSTATIN A AFTER INTRAPERITONEAL ADMINISTRATION TO MICE. Drug Metabolism and Disposition. 32(10). 1132–1138. 74 indexed citations
7.
Barthel, Henryk, Meg Perumal, John Latigo, et al.. (2004). The uptake of 3?-deoxy-3?-[18F]fluorothymidine into L5178Y tumours in vivo is dependent on thymidine kinase 1 protein levels. European Journal of Nuclear Medicine and Molecular Imaging. 32(3). 257–263. 106 indexed citations
8.
9.
Gianasi, Elisabetta, et al.. (2002). HPMA Copolymers Platinates Containing Dicarboxylato Ligands. Preparation, Characterisation and In Vitro and In Vivo Evaluation. Journal of drug targeting. 10(7). 549–556. 49 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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