Masaki Hara

344 total papers · 6.6k total citations
224 papers, 5.2k citations indexed

About

Masaki Hara is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Masaki Hara has authored 224 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Pulmonary and Respiratory Medicine, 49 papers in Radiology, Nuclear Medicine and Imaging and 43 papers in Surgery. Recurrent topics in Masaki Hara's work include Lung Cancer Diagnosis and Treatment (25 papers), Medical Imaging and Pathology Studies (20 papers) and Myasthenia Gravis and Thymoma (19 papers). Masaki Hara is often cited by papers focused on Lung Cancer Diagnosis and Treatment (25 papers), Medical Imaging and Pathology Studies (20 papers) and Myasthenia Gravis and Thymoma (19 papers). Masaki Hara collaborates with scholars based in Japan, United States and United Kingdom. Masaki Hara's co-authors include Yuta Shibamoto, Kathryn J. Wood, Peter J. Morris, Toshio Onitsuka, Masaki Tomita, Toshiyuki Sameshima, Stuart E. Turvey, Cherry Kingsley, Tetsuya Shimizu and Masanori Niimi and has published in prestigious journals such as Science, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Masaki Hara

206 papers receiving 5.0k citations

Hit Papers

IL-10 Is Required for Reg... 2001 2026 2009 2017 2001 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Masaki Hara 1.2k 1.1k 1.1k 813 782 224 5.2k
M. Landthaler 1.1k 0.9× 487 0.5× 918 0.9× 1.9k 2.4× 1.1k 1.4× 245 7.9k
Thomas J. Flotte 1.5k 1.2× 1.0k 1.0× 711 0.7× 1.8k 2.3× 1.5k 2.0× 205 9.0k
Masashi Takahashi 1.7k 1.3× 317 0.3× 1.4k 1.4× 647 0.8× 464 0.6× 333 5.5k
Chyong‐Huey Lai 956 0.8× 576 0.5× 2.3k 2.2× 1.3k 1.6× 1.5k 1.9× 380 10.4k
Mario Petrini 673 0.5× 826 0.8× 643 0.6× 475 0.6× 1.4k 1.8× 319 7.2k
Pierre Bongrand 915 0.7× 1.8k 1.7× 577 0.5× 686 0.8× 1.9k 2.4× 242 8.1k
Jun Suzuki 892 0.7× 1.3k 1.3× 552 0.5× 401 0.5× 2.1k 2.7× 241 5.5k
Moritz Wildgruber 579 0.5× 1.2k 1.2× 1.1k 1.1× 849 1.0× 962 1.2× 227 5.5k
Shunsuke Mori 914 0.7× 727 0.7× 515 0.5× 185 0.2× 848 1.1× 234 6.3k
Aryan Vink 1.9k 1.5× 1.1k 1.1× 1.4k 1.3× 565 0.7× 1.3k 1.7× 171 6.4k

Countries citing papers authored by Masaki Hara

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Hara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Hara

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