Hiroki Masumoto

416 total citations
13 papers, 231 citations indexed

About

Hiroki Masumoto is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hiroki Masumoto has authored 13 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ophthalmology, 7 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hiroki Masumoto's work include Glaucoma and retinal disorders (5 papers), Retinal Imaging and Analysis (4 papers) and Retinal Diseases and Treatments (3 papers). Hiroki Masumoto is often cited by papers focused on Glaucoma and retinal disorders (5 papers), Retinal Imaging and Analysis (4 papers) and Retinal Diseases and Treatments (3 papers). Hiroki Masumoto collaborates with scholars based in Japan, United States and Germany. Hiroki Masumoto's co-authors include Hitoshi Tabuchi, Daisuke Nagasato, Yoshinori Mitamura, Naofumi Ishitobi, Hideharu Ohsugi, Hiroki Enno, Masanori Niki, Mao Tanabe, Yasushi Ikuno and Toshihiko Nagasawa and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of General Virology.

In The Last Decade

Hiroki Masumoto

13 papers receiving 226 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hiroki Masumoto Japan 9 169 149 29 27 20 13 231
Joanna Gołębiewska Poland 10 221 1.3× 296 2.0× 12 0.4× 37 1.4× 18 0.9× 36 373
Manisha Agarwal India 9 210 1.2× 308 2.1× 12 0.4× 32 1.2× 8 0.4× 47 378
Robert Equi United States 10 143 0.8× 470 3.2× 28 1.0× 33 1.2× 16 0.8× 14 534
Bhavana Sharma India 12 133 0.8× 202 1.4× 74 2.6× 43 1.6× 5 0.3× 53 330
Atul Arora India 8 147 0.9× 209 1.4× 17 0.6× 30 1.1× 12 0.6× 41 270
J.M. Gallardo Spain 8 85 0.5× 120 0.8× 31 1.1× 17 0.6× 7 0.3× 15 199
Yves Robert Switzerland 9 233 1.4× 275 1.8× 75 2.6× 121 4.5× 5 0.3× 23 387
Ricardo Cuiña‐Sardiña Spain 9 215 1.3× 250 1.7× 30 1.0× 59 2.2× 10 0.5× 20 292
Rahul Rachwani‐Anil Spain 10 159 0.9× 169 1.1× 60 2.1× 90 3.3× 6 0.3× 38 276
Eli Pradhan Nepal 7 107 0.6× 124 0.8× 14 0.5× 28 1.0× 5 0.3× 34 201

Countries citing papers authored by Hiroki Masumoto

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Masumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroki Masumoto

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroki Masumoto. A scholar is included among the top collaborators of Hiroki Masumoto 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 Hiroki Masumoto. Hiroki Masumoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Tabuchi, Hitoshi, Daisuke Nagasato, Mao Tanabe, et al.. (2022). Automated detection of enlarged extraocular muscle in Graves’ ophthalmopathy with computed tomography and deep neural network. Scientific Reports. 12(1). 16036–16036. 20 indexed citations
2.
Hayashi, Takahiko, Mario Matthaei, Silvia Schrittenlocher, et al.. (2022). Transferability of an Artificial Intelligence Algorithm Predicting Rebubblings After Descemet Membrane Endothelial Keratoplasty. Cornea. 42(5). 544–548. 10 indexed citations
3.
Hayashi, Takahiko, Hiroki Masumoto, Hitoshi Tabuchi, et al.. (2021). A deep learning approach for successful big-bubble formation prediction in deep anterior lamellar keratoplasty. Scientific Reports. 11(1). 18559–18559. 8 indexed citations
4.
Imamura, Hitoshi, et al.. (2021). Automatic screening of tear meniscus from lacrimal duct obstructions using anterior segment optical coherence tomography images by deep learning. Graefe s Archive for Clinical and Experimental Ophthalmology. 259(6). 1569–1577. 6 indexed citations
5.
Tabuchi, Hitoshi, Daisuke Nagasato, Hiroki Masumoto, et al.. (2021). Developing an iOS application that uses machine learning for the automated diagnosis of blepharoptosis. Graefe s Archive for Clinical and Experimental Ophthalmology. 260(4). 1329–1335. 11 indexed citations
6.
Kato, Naoko, Hiroki Masumoto, Mao Tanabe, et al.. (2021). Predicting Keratoconus Progression and Need for Corneal Crosslinking Using Deep Learning. Journal of Clinical Medicine. 10(4). 844–844. 24 indexed citations
7.
Tabuchi, Hitoshi, et al.. (2020). Real-world testing of artificial intelligence system for surgical safety management. Investigative Ophthalmology & Visual Science. 61(7). 2032–2032. 1 indexed citations
8.
Tabuchi, Hitoshi, Daisuke Nagasato, Hiroki Masumoto, et al.. (2020). Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography. PLoS ONE. 15(4). e0227240–e0227240. 48 indexed citations
9.
Nagasato, Daisuke, Hitoshi Tabuchi, Hiroki Masumoto, et al.. (2020). Prediction of age and brachial-ankle pulse-wave velocity using ultra-wide-field pseudo-color images by deep learning. Scientific Reports. 10(1). 19369–19369. 15 indexed citations
10.
Nagasato, Daisuke, Hitoshi Tabuchi, Hiroki Masumoto, et al.. (2019). Automated detection of a nonperfusion area caused by retinal vein occlusion in optical coherence tomography angiography images using deep learning. PLoS ONE. 14(11). e0223965–e0223965. 39 indexed citations
11.
Nagasawa, Toshihiko, Hitoshi Tabuchi, Hiroki Masumoto, et al.. (2018). Accuracy of deep learning, a machine learning technology, using ultra-wide-field fundus ophthalmoscopy for detecting idiopathic macular holes. PeerJ. 6. e5696–e5696. 31 indexed citations
12.
Yoshii, Kentaro, Ryo Nakao, R. Hofstetter, et al.. (2015). Isolation of the Thogoto virus from a Haemaphysalis longicornis in Kyoto City, Japan. Journal of General Virology. 96(8). 2099–2103. 17 indexed citations
13.
Nishida, Shinichi, et al.. (1982). . JOURNAL OF THE JAPAN WELDING SOCIETY. 51(7). 599–604. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026