Tetsuo Hashiba

42 total papers · 786 total citations
23 papers, 439 citations indexed

About

Tetsuo Hashiba is a scholar working on Genetics, Epidemiology and Surgery. According to data from OpenAlex, Tetsuo Hashiba has authored 23 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 7 papers in Epidemiology and 6 papers in Surgery. Recurrent topics in Tetsuo Hashiba's work include Glioma Diagnosis and Treatment (7 papers), Meningioma and schwannoma management (7 papers) and Pituitary Gland Disorders and Treatments (5 papers). Tetsuo Hashiba is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Meningioma and schwannoma management (7 papers) and Pituitary Gland Disorders and Treatments (5 papers). Tetsuo Hashiba collaborates with scholars based in Japan, United States and Italy. Tetsuo Hashiba's co-authors include Toshiki Yoshimine, Shuichi Izumoto, Naoki Kagawa, Naoya Hashimoto, Motohiko Maruno, Tsuyoshi Suzuki, Amami Kato, Manabu Kinoshita, Masahiro Nonaka and Akio Asai and has published in prestigious journals such as Stroke, Journal of neurosurgery and Neuro-Oncology.

In The Last Decade

Tetsuo Hashiba

19 papers receiving 433 citations

Author Peers

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

Author Last Decade Papers Cites
Tetsuo Hashiba 194 191 149 94 83 23 439
Daijun Wang 258 1.3× 160 0.8× 102 0.7× 48 0.5× 114 1.4× 42 461
Lianghong Teng 83 0.4× 96 0.5× 140 0.9× 115 1.2× 101 1.2× 31 398
Yoshinori Tanizaki 100 0.5× 79 0.4× 239 1.6× 85 0.9× 149 1.8× 20 470
Yugo Kishida 115 0.6× 71 0.4× 141 0.9× 49 0.5× 144 1.7× 28 414
Samer E. Kaba 116 0.6× 155 0.8× 84 0.6× 36 0.4× 73 0.9× 11 414
D. W. Ellison 164 0.8× 126 0.7× 174 1.2× 56 0.6× 170 2.0× 16 487
Calixto‐Hope G. Lucas 271 1.4× 197 1.0× 115 0.8× 99 1.1× 56 0.7× 46 423
Christian Mirian 179 0.9× 125 0.7× 91 0.6× 99 1.1× 42 0.5× 28 445
Sayaka Yuzawa 144 0.7× 92 0.5× 87 0.6× 35 0.4× 66 0.8× 42 366
Shunchang Ma 112 0.6× 90 0.5× 108 0.7× 98 1.0× 113 1.4× 41 408

Countries citing papers authored by Tetsuo Hashiba

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Hashiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuo Hashiba

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