Junji Murakami

2.9k citations
61 papers · 1.8k · h-index 23

Impact in

Papers in

Junji Murakami

59 papers receiving 1.7k citations

Peers

Junji Murakami
Comparison fields: 5 of 105
  • Radiology, Nuclear Medicine and Imaging 707
  • Geriatrics and Gerontology 106
  • Pulmonary and Respiratory Medicine 662
  • Pathology and Forensic Medicine 268
  • Toxicology 43
Replace Richard L. Cumberlin with:
Richard L. Cumberlin United States
Nam P. Nguyen United States
Stephen Broderick United States
Soon Ho Yoon South Korea
Abhinav Chandra United States
Nicolas Janus France
Kyung Nyeo Jeon South Korea
Jonas Lundkvist Sweden
Edward P. Balaban United States
Samir Narayan United States
Junji Murakami relative to Richard L. Cumberlin United States Richard L. Cumberlin's profile →
Citations per field
00.5×5.6×
Richard L. Cumberlin · 1×
Citations per year

Countries citing papers authored by Junji Murakami

Since Specialization
Citations

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

Fields of papers citing papers by Junji Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junji Murakami, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junji Murakami Line = papers co-authored together Junji Murakami links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996387
2 1990217
3 2010118
4 199979
5 199768
6 199760
7 199258
8 201253
9 199246
10 199546
11 199941
12 198241
13 199734
14 199734
15 199334
16 200631
17 201125
18 199225
19 199625
20 199525

About Junji Murakami

Junji Murakami is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Radiology, Nuclear Medicine and Imaging, Epidemiology and Pathology and Forensic Medicine, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (10 papers), Medical Imaging and Pathology Studies (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), MRI in cancer diagnosis (6 papers), Atomic and Subatomic Physics Research (5 papers), Trauma Management and Diagnosis (4 papers), Medical Imaging Techniques and Applications (4 papers) and Tracheal and airway disorders (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (707 citations), Geriatrics and Gerontology (106 citations), Pulmonary and Respiratory Medicine (662 citations), Pathology and Forensic Medicine (268 citations) and Toxicology (43 citations). Junji Murakami has collaborated with scholars based in Japan, United States and South Sudan. Frequent co-authors include Sadayuki Murayama, Norihisa Hashiguchi, Kouji Masuda, K. Masuda, Lawrence Danso Buadu, Shinji Ohno, Shin-Ichiro Kuroki, S Toyoshima, S. Sakai and Shuji Sakai. Their work appears in journals such as Journal of Computer Assisted Tomography, Acta Radiologica, Journal of Thoracic Imaging, Radiology and Breast Cancer.

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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