Michelle Tickner

560 total citations
7 papers, 476 citations indexed

About

Michelle Tickner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Michelle Tickner has authored 7 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Oncology. Recurrent topics in Michelle Tickner's work include Angiogenesis and VEGF in Cancer (4 papers), Axon Guidance and Neuronal Signaling (4 papers) and Lymphatic System and Diseases (3 papers). Michelle Tickner is often cited by papers focused on Angiogenesis and VEGF in Cancer (4 papers), Axon Guidance and Neuronal Signaling (4 papers) and Lymphatic System and Diseases (3 papers). Michelle Tickner collaborates with scholars based in United Kingdom, Australia and Tanzania. Michelle Tickner's co-authors include Lili Cheng, Ian Zachary, David L. Selwood, Paul C. Driscoll, Ashley Jarvis, Haiyan Jia, Rehan Aqil, Basil Hartzoulakis, Huimin Jia and Giovanna M. D’Abaco and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry and British Journal of Cancer.

In The Last Decade

Michelle Tickner

7 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle Tickner United Kingdom 6 383 230 157 84 52 7 476
Shannon Duffy Australia 8 271 0.7× 151 0.7× 78 0.5× 69 0.8× 82 1.6× 9 383
Bernhard Eggimann Switzerland 7 313 0.8× 107 0.5× 73 0.5× 31 0.4× 47 0.9× 7 420
Beth A. Connolly United States 7 345 0.9× 91 0.4× 88 0.6× 42 0.5× 134 2.6× 10 496
Sam Wells United States 9 272 0.7× 105 0.5× 212 1.4× 35 0.4× 61 1.2× 11 475
Ashley Jarvis United Kingdom 5 295 0.8× 163 0.7× 122 0.8× 63 0.8× 64 1.2× 6 367
Jessica Charlet United States 10 543 1.4× 104 0.5× 86 0.5× 91 1.1× 118 2.3× 14 742
Jinhi Ahn Canada 11 417 1.1× 133 0.6× 75 0.5× 26 0.3× 103 2.0× 17 559
Neela K. Saxena United States 13 432 1.1× 89 0.4× 127 0.8× 99 1.2× 25 0.5× 14 541
M. D. Mostaqul Huq United States 16 484 1.3× 80 0.3× 70 0.4× 63 0.8× 40 0.8× 18 611
Erika M. Lisabeth United States 12 442 1.2× 297 1.3× 129 0.8× 46 0.5× 244 4.7× 17 712

Countries citing papers authored by Michelle Tickner

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Tickner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Tickner

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

All Works

7 of 7 papers shown
1.
Jia, Huimin, et al.. (2010). Neuropilin-1 antagonism in human carcinoma cells inhibits migration and enhances chemosensitivity. British Journal of Cancer. 102(3). 541–552. 83 indexed citations
2.
Jarvis, Ashley, C.K. Allerston, Haiyan Jia, et al.. (2010). Small Molecule Inhibitors of the Neuropilin-1 Vascular Endothelial Growth Factor A (VEGF-A) Interaction. Journal of Medicinal Chemistry. 53(5). 2215–2226. 165 indexed citations
3.
Frankel, Paul, Caroline Pellet‐Many, Pauliina Lehtolainen, et al.. (2008). Chondroitin sulphate‐modified neuropilin 1 is expressed in human tumour cells and modulates 3D invasion in the U87MG human glioblastoma cell line through a p130Cas‐mediated pathway. EMBO Reports. 9(10). 983–989. 77 indexed citations
4.
Jia, Haiyan, Azadeh Bagherzadeh, Basil Hartzoulakis, et al.. (2006). Characterization of a Bicyclic Peptide Neuropilin-1 (NP-1) Antagonist (EG3287) Reveals Importance of Vascular Endothelial Growth Factor Exon 8 for NP-1 Binding and Role of NP-1 in KDR Signaling. Journal of Biological Chemistry. 281(19). 13493–13502. 111 indexed citations
5.
Lamb, David, Michelle Tickner, Susanna M.O. Hourani, & Gordon A. Ferns. (2005). Dietary copper supplements modulate aortic superoxide dismutase, nitric oxide and atherosclerosis. International Journal of Experimental Pathology. 86(4). 247–255. 22 indexed citations
6.
Lamb, David, Michelle Tickner, Wafaa El-Sankary, et al.. (2003). Impairment of vascular function following BCG immunisation is associated with immune responses to HSP-60 in the cholesterol-fed rabbit. Atherosclerosis. 172(1). 13–20. 4 indexed citations
7.
Broekman, M. Johan, Terence L. Kirley, Silvia Diani-Moore, et al.. (2002). Cell-type specificity of ectonucleotidase expression and upregulation by 2,3,7,8-tetrachlorodibenzo-p-dioxin. Archives of Biochemistry and Biophysics. 407(1). 49–62. 14 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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