Lisa Blaydorn

21 total papers · 514 total citations
8 papers, 383 citations indexed

About

Lisa Blaydorn is a scholar working on Oncology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lisa Blaydorn has authored 8 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 2 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lisa Blaydorn's work include Pancreatic and Hepatic Oncology Research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and CAR-T cell therapy research (2 papers). Lisa Blaydorn is often cited by papers focused on Pancreatic and Hepatic Oncology Research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and CAR-T cell therapy research (2 papers). Lisa Blaydorn collaborates with scholars based in United States, Italy and United Kingdom. Lisa Blaydorn's co-authors include Glen J. Weiss, Vivek Khemka, Howard B. Urnovitz, Julia Beck, Kirsten Bornemann-Kolatzki, John Farley, Jiaxin Niu, Ashish Sangal, Cynthia A. Lynch and Ramesh K. Ramanathan and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Clinical Cancer Research.

In The Last Decade

Lisa Blaydorn

8 papers receiving 379 citations

Author Peers

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

Author Last Decade Papers Cites
Lisa Blaydorn 287 88 77 68 59 8 383
Eileen Shiuan 207 0.7× 80 0.9× 196 2.5× 55 0.8× 61 1.0× 10 440
Shelby Lennon 293 1.0× 204 2.3× 80 1.0× 63 0.9× 37 0.6× 10 440
Mengqi Shi 244 0.9× 58 0.7× 128 1.7× 121 1.8× 104 1.8× 10 412
Megan N. Thobe 154 0.5× 118 1.3× 265 3.4× 46 0.7× 39 0.7× 11 440
Jérémy Balland 211 0.7× 155 1.8× 151 2.0× 39 0.6× 72 1.2× 7 352
Frank El Ouriaghli 126 0.4× 154 1.8× 132 1.7× 34 0.5× 43 0.7× 10 388
Philip S. Hodkinson 257 0.9× 82 0.9× 200 2.6× 50 0.7× 53 0.9× 7 433
Ugur Aytac 239 0.8× 25 0.3× 144 1.9× 37 0.5× 62 1.1× 13 334
Purvaba J. Sarvaiya 237 0.8× 143 1.6× 154 2.0× 41 0.6× 91 1.5× 8 415
Steve De Vos 133 0.5× 87 1.0× 97 1.3× 25 0.4× 16 0.3× 11 351

Countries citing papers authored by Lisa Blaydorn

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Blaydorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Blaydorn

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Blaydorn. A scholar is included among the top collaborators of Lisa Blaydorn 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 Lisa Blaydorn. Lisa Blaydorn 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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