Lora A. Tucker

24 total papers · 691 total citations
15 papers, 569 citations indexed

About

Lora A. Tucker is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Lora A. Tucker has authored 15 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Lora A. Tucker's work include HER2/EGFR in Cancer Research (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Cancer-related Molecular Pathways (3 papers). Lora A. Tucker is often cited by papers focused on HER2/EGFR in Cancer Research (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Cancer-related Molecular Pathways (3 papers). Lora A. Tucker collaborates with scholars based in United States, United Kingdom and France. Lora A. Tucker's co-authors include Jieyi Wang, Mark G. Anderson, George S. Sheppard, Anatol Oleksijew, Qian Zhang, Louie Naumovski, Edward B. Reilly, Randy L. Bell, Kedar S. Vaidya and Erwin R. Boghaert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

Lora A. Tucker

15 papers receiving 551 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lora A. Tucker 325 243 88 83 75 15 569
Yi Wang 376 1.2× 224 0.9× 113 1.3× 246 3.0× 74 1.0× 16 649
Christopher Toth 229 0.7× 206 0.8× 53 0.6× 54 0.7× 18 0.2× 15 581
Göran Dahl 457 1.4× 146 0.6× 31 0.4× 31 0.4× 68 0.9× 22 673
H Naundorf 283 0.9× 222 0.9× 47 0.5× 37 0.4× 73 1.0× 32 496
Siham Djelloul 248 0.8× 311 1.3× 64 0.7× 101 1.2× 48 0.6× 8 555
Taekyoung Kwak 399 1.2× 163 0.7× 60 0.7× 33 0.4× 25 0.3× 21 682
Jim Nonomiya 390 1.2× 127 0.5× 33 0.4× 52 0.6× 110 1.5× 18 659
Elena Casanova 285 0.9× 150 0.6× 114 1.3× 46 0.6× 72 1.0× 23 505
Sebastian Trousil 342 1.1× 202 0.8× 202 2.3× 43 0.5× 20 0.3× 18 620
Margaux Fresnais 302 0.9× 136 0.6× 62 0.7× 79 1.0× 15 0.2× 26 589

Countries citing papers authored by Lora A. Tucker

Since Specialization
Citations

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

Fields of papers citing papers by Lora A. Tucker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lora A. Tucker. 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 Lora A. Tucker. The network helps show where Lora A. Tucker may publish in the future.

Co-authorship network of co-authors of Lora A. Tucker

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

All Works

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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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