Travis W. Day

10 total papers · 477 total citations
8 papers, 398 citations indexed

About

Travis W. Day is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Travis W. Day has authored 8 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Travis W. Day's work include Cell death mechanisms and regulation (6 papers), Cancer-related Molecular Pathways (4 papers) and Microtubule and mitosis dynamics (2 papers). Travis W. Day is often cited by papers focused on Cell death mechanisms and regulation (6 papers), Cancer-related Molecular Pathways (4 papers) and Microtubule and mitosis dynamics (2 papers). Travis W. Day collaborates with scholars based in United States. Travis W. Day's co-authors include Ahmad R. Safa, Su Huang, Amelia D. Tomlinson, Clay Fuqua, Peter M. Merritt, Bronwyn Ramey-Hartung, Mi-Ran Choi, Anthony L. Sinn, Karen E. Pollok and George E. Sandusky and has published in prestigious journals such as Biochemical Pharmacology, Molecular Pharmacology and Microbiology.

In The Last Decade

Travis W. Day

8 papers receiving 395 citations

Author Peers

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

Author Last Decade Papers Cites
Travis W. Day 309 99 71 52 52 8 398
Leslie A. Rivera Rosado 306 1.0× 106 1.1× 126 1.8× 42 0.8× 70 1.3× 12 435
Bipin C. Dash 253 0.8× 127 1.3× 28 0.4× 62 1.2× 53 1.0× 10 443
Shishi Tao 236 0.8× 74 0.7× 68 1.0× 33 0.6× 61 1.2× 10 384
Teresa A. Chiaverotti 293 0.9× 83 0.8× 45 0.6× 41 0.8× 68 1.3× 12 442
Sabine Pietkiewicz 253 0.8× 68 0.7× 105 1.5× 62 1.2× 36 0.7× 12 440
Tzu-Hao Cheng 304 1.0× 82 0.8× 28 0.4× 33 0.6× 47 0.9× 13 395
Cécile Saucier 281 0.9× 88 0.9× 99 1.4× 37 0.7× 35 0.7× 11 442
Carla Zimmerman 235 0.8× 61 0.6× 68 1.0× 30 0.6× 70 1.3× 11 404
Tomiko Shimada 226 0.7× 99 1.0× 29 0.4× 31 0.6× 129 2.5× 11 418
Nadav Askari 304 1.0× 70 0.7× 79 1.1× 30 0.6× 37 0.7× 10 437

Countries citing papers authored by Travis W. Day

Since Specialization
Citations

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

Fields of papers citing papers by Travis W. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis W. Day. 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 Travis W. Day. The network helps show where Travis W. Day may publish in the future.

Co-authorship network of co-authors of Travis W. Day

This figure shows the co-authorship network connecting the top 25 collaborators of Travis W. Day. A scholar is included among the top collaborators of Travis W. Day 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 Travis W. Day. Travis W. Day 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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