W. Brad Hubbard

51 total papers · 1.1k total citations
37 papers, 671 citations indexed

About

W. Brad Hubbard is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, W. Brad Hubbard has authored 37 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Neurology, 19 papers in Epidemiology and 18 papers in Molecular Biology. Recurrent topics in W. Brad Hubbard's work include Traumatic Brain Injury and Neurovascular Disturbances (24 papers), Traumatic Brain Injury Research (16 papers) and Mitochondrial Function and Pathology (15 papers). W. Brad Hubbard is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (24 papers), Traumatic Brain Injury Research (16 papers) and Mitochondrial Function and Pathology (15 papers). W. Brad Hubbard collaborates with scholars based in United States, Lebanon and China. W. Brad Hubbard's co-authors include Patrick G. Sullivan, Hemendra J. Vekaria, Pamela J. VandeVord, Kathryn E. Saatman, Venkata Siva Sai Sujith Sajja, Malinda L Spry, Gopal V. Velmurugan, Erin Lavik, John G. Geisler and Werner J. Geldenhuys and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain.

In The Last Decade

W. Brad Hubbard

33 papers receiving 665 citations

Author Peers

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

Author Last Decade Papers Cites
W. Brad Hubbard 365 325 274 123 61 37 671
Ying Deng‐Bryant 424 1.2× 282 0.9× 247 0.9× 134 1.1× 63 1.0× 25 704
Krisztina Amrein 502 1.4× 318 1.0× 345 1.3× 161 1.3× 76 1.2× 27 743
Dongxia Feng 259 0.7× 202 0.6× 188 0.7× 38 0.3× 217 3.6× 31 748
Qian Gu 270 0.7× 375 1.2× 162 0.6× 61 0.5× 35 0.6× 27 750
Eilam Palzur 269 0.7× 161 0.5× 121 0.4× 58 0.5× 66 1.1× 40 583
Pil Woo Huh 312 0.9× 135 0.4× 205 0.7× 87 0.7× 109 1.8× 25 761
Maria Daglas 215 0.6× 261 0.8× 125 0.5× 41 0.3× 135 2.2× 20 698
Yichao Jin 210 0.6× 184 0.6× 134 0.5× 36 0.3× 79 1.3× 39 560
Zhangjie Su 251 0.7× 172 0.5× 154 0.6× 78 0.6× 75 1.2× 32 708
Sai Zhang 190 0.5× 225 0.7× 115 0.4× 109 0.9× 64 1.0× 41 740

Countries citing papers authored by W. Brad Hubbard

Since Specialization
Citations

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

Fields of papers citing papers by W. Brad Hubbard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Brad Hubbard

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