Zachary D. Travis

35 total papers · 1.3k total citations
24 papers, 871 citations indexed

About

Zachary D. Travis is a scholar working on Neurology, Neurology and Molecular Biology. According to data from OpenAlex, Zachary D. Travis has authored 24 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 6 papers in Neurology and 5 papers in Molecular Biology. Recurrent topics in Zachary D. Travis's work include Intracerebral and Subarachnoid Hemorrhage Research (9 papers), Intracranial Aneurysms: Treatment and Complications (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Zachary D. Travis is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (9 papers), Intracranial Aneurysms: Treatment and Complications (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Zachary D. Travis collaborates with scholars based in United States, China and Japan. Zachary D. Travis's co-authors include John H. Zhang, Jiping Tang, Umut Ocak, Takeshi Okada, Lei Huang, Hidenori Suzuki, Budbazar Enkhjargal, Weilin Xu, Tongyu Zhang and Guangyu Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Free Radical Biology and Medicine and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Zachary D. Travis

24 papers receiving 869 citations

Author Peers

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

Author Last Decade Papers Cites
Zachary D. Travis 303 295 237 114 111 24 871
Changping Yao 226 0.7× 369 1.3× 186 0.8× 95 0.8× 166 1.5× 19 867
Carmen Martínez 349 1.2× 264 0.9× 107 0.5× 150 1.3× 49 0.4× 34 873
Hans‐Georg König 119 0.4× 526 1.8× 142 0.6× 226 2.0× 100 0.9× 29 877
Min Seong Kwon 220 0.7× 452 1.5× 145 0.6× 98 0.9× 89 0.8× 27 1.0k
Amanda L. Trout 85 0.3× 515 1.7× 288 1.2× 53 0.5× 103 0.9× 34 967
Manuel Zeitelhofer 105 0.3× 458 1.6× 221 0.9× 111 1.0× 226 2.0× 33 1.1k
Valentina Fedele 288 1.0× 566 1.9× 86 0.4× 211 1.9× 50 0.5× 21 929
Sara Haghighi 266 0.9× 316 1.1× 126 0.5× 114 1.0× 155 1.4× 35 941
Jeremy Seto 81 0.3× 439 1.5× 313 1.3× 173 1.5× 184 1.7× 16 994
Karin Hochrainer 129 0.4× 451 1.5× 246 1.0× 68 0.6× 153 1.4× 22 959

Countries citing papers authored by Zachary D. Travis

Since Specialization
Citations

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

Fields of papers citing papers by Zachary D. Travis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zachary D. Travis

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