Alexi P. Surette

607 total citations
8 papers, 502 citations indexed

About

Alexi P. Surette is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Alexi P. Surette has authored 8 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Alexi P. Surette's work include S100 Proteins and Annexins (5 papers), Protease and Inhibitor Mechanisms (5 papers) and HER2/EGFR in Cancer Research (3 papers). Alexi P. Surette is often cited by papers focused on S100 Proteins and Annexins (5 papers), Protease and Inhibitor Mechanisms (5 papers) and HER2/EGFR in Cancer Research (3 papers). Alexi P. Surette collaborates with scholars based in Canada, Sweden and Portugal. Alexi P. Surette's co-authors include David M. Waisman, Paul A. O’Connell, Kyle D. Phipps, Patrícia A. Madureira, Victoria A. Miller, Per Svenningsson, Robert Liwski, Gillian Bethune, Tallal Younis and Kirill V. Rosen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Cancer Research.

In The Last Decade

Alexi P. Surette

8 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexi P. Surette Canada	8	352	235	131	125	61	8	502
Günther Bode Germany	7	234 0.7×	76 0.3×	115 0.9×	48 0.4×	34 0.6×	7	359
Juo-Chin Yao United States	10	343 1.0×	108 0.5×	112 0.9×	79 0.6×	54 0.9×	17	500
S J Klaus United States	8	138 0.4×	152 0.6×	319 2.4×	76 0.6×	22 0.4×	8	600
Kazuaki Yokoyama Japan	11	140 0.4×	132 0.6×	52 0.4×	168 1.3×	37 0.6×	54	411
Haitao Bai China	14	474 1.3×	293 1.2×	121 0.9×	173 1.4×	27 0.4×	46	754
Mousheng Xu United States	11	300 0.9×	53 0.2×	63 0.5×	97 0.8×	62 1.0×	14	577
Jason H. Kurzer United States	13	233 0.7×	52 0.2×	61 0.5×	218 1.7×	30 0.5×	28	633
Xiaoqi Gong United States	12	194 0.6×	44 0.2×	152 1.2×	93 0.7×	100 1.6×	20	625
Dres Damgaard Denmark	15	191 0.5×	91 0.4×	233 1.8×	36 0.3×	102 1.7×	25	586
Claudia H.D. Metz Germany	10	375 1.1×	97 0.4×	228 1.7×	34 0.3×	63 1.0×	15	836

Countries citing papers authored by Alexi P. Surette

Since Specialization

Citations

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

Fields of papers citing papers by Alexi P. Surette

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexi P. Surette. 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 Alexi P. Surette. The network helps show where Alexi P. Surette may publish in the future.

Co-authorship network of co-authors of Alexi P. Surette

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

All Works

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8 of 8 papers shown

Rasmussen, Sean A., Valerie Jones Taylor, Alexi P. Surette, Penny J. Barnes, & Gillian Bethune. (2022). Using Deep Learning to Predict Final HER2 Status in Invasive Breast Cancers That are Equivocal (2+) by Immunohistochemistry. Applied immunohistochemistry & molecular morphology. 30(10). 668–673. 7 indexed citations

Surette, Alexi P., Byong Hoon Yoo, Tallal Younis, et al.. (2021). Tumor levels of the mediators of ErbB2-driven anoikis resistance correlate with breast cancer relapse in patients receiving trastuzumab-based therapies. Breast Cancer Research and Treatment. 187(3). 743–758. 8 indexed citations

Yoo, Byong Hoon, Olivier Masson, Alexi P. Surette, et al.. (2018). ErbB2-driven downregulation of the transcription factor Irf6 in breast epithelial cells is required for their 3D growth. Breast Cancer Research. 20(1). 151–151. 11 indexed citations

Madureira, Patrícia A., Paul A. O’Connell, Alexi P. Surette, Victoria A. Miller, & David M. Waisman. (2012). The Biochemistry and Regulation of S100A10: A Multifunctional Plasminogen Receptor Involved in Oncogenesis. SHILAP Revista de lepidopterología. 2012. 1–21. 83 indexed citations

Phipps, Kyle D., Alexi P. Surette, Paul A. O’Connell, & David M. Waisman. (2011). Plasminogen Receptor S100A10 Is Essential for the Migration of Tumor-Promoting Macrophages into Tumor Sites. Cancer Research. 71(21). 6676–6683. 86 indexed citations

Madureira, Patrícia A., et al.. (2011). The role of the annexin A2 heterotetramer in vascular fibrinolysis. Blood. 118(18). 4789–4797. 100 indexed citations

Surette, Alexi P., Patrícia A. Madureira, Kyle D. Phipps, et al.. (2011). Regulation of fibrinolysis by S100A10 in vivo. Blood. 118(11). 3172–3181. 88 indexed citations

O’Connell, Paul A., Alexi P. Surette, Robert Liwski, Per Svenningsson, & David M. Waisman. (2010). S100A10 regulates plasminogen-dependent macrophage invasion. Blood. 116(7). 1136–1146. 119 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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