Anne Crompton

2.4k total citations · 1 hit paper
9 papers, 2.0k citations indexed

About

Anne Crompton is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Anne Crompton has authored 9 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Oncology. Recurrent topics in Anne Crompton's work include Protein Kinase Regulation and GTPase Signaling (2 papers), Virus-based gene therapy research (2 papers) and Cellular transport and secretion (2 papers). Anne Crompton is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (2 papers), Virus-based gene therapy research (2 papers) and Cellular transport and secretion (2 papers). Anne Crompton collaborates with scholars based in United States, United Kingdom and South Korea. Anne Crompton's co-authors include Lewis C. Cantley, A. S. Fanning, Jia Xu, Shirin M. Marfatia, Zhou Songyang, Andrew C. Chan, Chenglai Fu, Athar H. Chishti, James M. Anderson and David H. Kirn and has published in prestigious journals such as Science, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

Anne Crompton

9 papers receiving 2.0k citations

Hit Papers

Recognition of Unique Carboxyl-Terminal Motifs by Distinc... 1997 2026 2006 2016 1997 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Crompton United States 8 1.5k 871 331 227 190 9 2.0k
Roymarie Ballester United States 18 2.1k 1.4× 706 0.8× 210 0.6× 235 1.0× 118 0.6× 25 2.9k
A. S. Fanning United States 8 1.6k 1.0× 764 0.9× 410 1.2× 156 0.7× 120 0.6× 9 2.2k
Sarang Kulkarni Canada 19 2.8k 1.8× 960 1.1× 375 1.1× 285 1.3× 205 1.1× 20 3.5k
Beth Murray United States 5 2.2k 1.4× 415 0.5× 315 1.0× 330 1.5× 226 1.2× 5 2.8k
Clinton Monfries Singapore 16 1.3k 0.8× 675 0.8× 402 1.2× 170 0.7× 87 0.5× 20 1.8k
Terry Copeland United States 15 1.9k 1.3× 518 0.6× 158 0.5× 260 1.1× 171 0.9× 19 2.5k
Andrei Khokhlatchev United States 16 2.3k 1.5× 832 1.0× 168 0.5× 366 1.6× 122 0.6× 20 2.7k
Zhuo-shen Zhao Singapore 10 1.7k 1.1× 892 1.0× 191 0.6× 409 1.8× 137 0.7× 10 2.2k
Heidi Okamura United States 12 2.0k 1.3× 446 0.5× 203 0.6× 311 1.4× 375 2.0× 17 2.4k
Karin Ridderstråle Sweden 6 1.9k 1.2× 448 0.5× 189 0.6× 426 1.9× 217 1.1× 6 2.5k

Countries citing papers authored by Anne Crompton

Since Specialization
Citations

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

Fields of papers citing papers by Anne Crompton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Crompton

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Crompton. A scholar is included among the top collaborators of Anne Crompton 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 Anne Crompton. Anne Crompton 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.
Spiby, Helen, Denis Walsh, Josephine Green, Anne Crompton, & George Bugg. (2013). Midwives' beliefs and concerns about telephone conversations with women in early labour. Midwifery. 30(9). 1036–1042. 23 indexed citations
2.
Hwang, Tae-Ho, Hyuk-Chan Kwon, Kelly Speth, et al.. (2007). A phase I-II clinical trial with JX-594, a targeted and GM-CSF-armed oncolytic poxvirus, by intratumoral injection in patients with liver tumors. Molecular Cancer Therapeutics. 6. 5 indexed citations
3.
Crompton, Anne & David H. Kirn. (2007). From ONYX-015 to Armed Vaccinia Viruses: The Education and Evolution of Oncolytic Virus Development. Current Cancer Drug Targets. 7(2). 133–139. 89 indexed citations
4.
Adams, Cynthia L., et al.. (2006). Compound Classification Using Image‐Based Cellular Phenotypes. Methods in enzymology on CD-ROM/Methods in enzymology. 414. 440–468. 38 indexed citations
5.
Sakowicz, Roman, Jeffrey T. Finer, Christophe Béraud, et al.. (2004). Antitumor Activity of a Kinesin Inhibitor. Cancer Research. 64(9). 3276–3280. 215 indexed citations
6.
Crompton, Anne, Louise H. Foley, Alexander W. Wood, et al.. (2000). Regulation of Tiam1 Nucleotide Exchange Activity by Pleckstrin Domain Binding Ligands. Journal of Biological Chemistry. 275(33). 25751–25759. 46 indexed citations
7.
Bollag, Gideon, et al.. (2000). Activation of Rac1 by human Tiam 1. Methods in enzymology on CD-ROM/Methods in enzymology. 325. 51–61. 9 indexed citations
8.
Rameh, Lucia E., Kermit L. Carraway, Anthony D. Couvillon, et al.. (1997). A Comparative Analysis of the Phosphoinositide Binding Specificity of Pleckstrin Homology Domains. Journal of Biological Chemistry. 272(35). 22059–22066. 404 indexed citations
9.
Songyang, Zhou, A. S. Fanning, Chenglai Fu, et al.. (1997). Recognition of Unique Carboxyl-Terminal Motifs by Distinct PDZ Domains. Science. 275(5296). 73–77. 1204 indexed citations breakdown →

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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