Junki Maehara

21 total papers · 675 total citations
17 papers, 455 citations indexed

About

Junki Maehara is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Junki Maehara has authored 17 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 5 papers in Surgery and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Junki Maehara's work include Liver Disease Diagnosis and Treatment (3 papers), MRI in cancer diagnosis (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Junki Maehara is often cited by papers focused on Liver Disease Diagnosis and Treatment (3 papers), MRI in cancer diagnosis (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Junki Maehara collaborates with scholars based in Japan and United States. Junki Maehara's co-authors include Hidenori Ojima, Hanako Tsujikawa, Masahiro Shinoda, Michiie Sakamoto, Yutaka Kurebayashi, Yuko Kitagawa, Minoru Kitago, Yuta Abe, Naoto Kubota and Koji Yamashita and has published in prestigious journals such as Hepatology, Scientific Reports and American Journal of Neuroradiology.

In The Last Decade

Junki Maehara

16 papers receiving 455 citations

Hit Papers

Landscape of immune micro... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Junki Maehara 188 171 145 104 100 17 455
Petros Fessas 338 1.8× 132 0.8× 165 1.1× 62 0.6× 141 1.4× 14 523
Gerry Gin Wai Kwok 339 1.8× 108 0.6× 106 0.7× 48 0.5× 129 1.3× 10 508
Bihui Cao 271 1.4× 105 0.6× 124 0.9× 75 0.7× 222 2.2× 19 526
Valérie Dessirier 125 0.7× 74 0.4× 60 0.4× 84 0.8× 158 1.6× 14 528
Elizabeth Smyth 202 1.1× 92 0.5× 78 0.5× 90 0.9× 31 0.3× 20 436
Chuyu Jing 211 1.1× 79 0.5× 89 0.6× 137 1.3× 61 0.6× 23 430
B. Adam 139 0.7× 257 1.5× 97 0.7× 45 0.4× 40 0.4× 13 513
Lalit Pallan 93 0.5× 89 0.5× 231 1.6× 78 0.8× 66 0.7× 19 447
Xiang-yuan Wu 313 1.7× 90 0.5× 99 0.7× 148 1.4× 105 1.1× 25 486
Linda Nicolardi 144 0.8× 184 1.1× 33 0.2× 74 0.7× 91 0.9× 20 533

Countries citing papers authored by Junki Maehara

Since Specialization
Citations

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

Fields of papers citing papers by Junki Maehara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junki Maehara

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