Jun Tomoda

773 citations
45 papers · 612 indexed · h-index 12

Jun Tomoda

44 papers receiving 598 citations

Peers

Jun Tomoda
Comparison fields: 5 of 77
  • Gastroenterology 153
  • Pulmonary and Respiratory Medicine 297
  • Surgery 297
  • Oncology 128
  • Pathology and Forensic Medicine 80
Replace K Jaśkiewicz with:
K Jaśkiewicz South Africa
S. Post Germany
Joanne Lopes Portugal
Eiji Noda Japan
Hiroaki Shimizu Japan
Sooyeon Oh South Korea
Nicolò Bassi Italy
Takahiro Ichikawa Japan
Koichi Kurahara Japan
Mingwei Zheng China
Jun Tomoda relative to K Jaśkiewicz South Africa K Jaśkiewicz's profile →
Citations per field
00.5×3.6×
K Jaśkiewicz · 1×
Citations per year

Countries citing papers authored by Jun Tomoda

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tomoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jun Tomoda, 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 Jun Tomoda Line = papers co-authored together Jun Tomoda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20167
2 201521
3 201457
4 20121
5 20123
6 2011144
7 201034
8 20107
9 20052
10 200114
11
A case of mesenteric panniculitis that CT diagnosis was useful
20011
12 200030
13 199914
14 199711
15 19971
16 19960
17 19962
18 19891
19 19871
20 19821

About Jun Tomoda

Jun Tomoda is a scholar working on Gastroenterology, Hepatology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Applied Microbiology and Biotechnology, having authored 45 papers that have together received 612 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (12 papers), Gastrointestinal Tumor Research and Treatment (7 papers), Metastasis and carcinoma case studies (7 papers), Genetic factors in colorectal cancer (6 papers), Glycosylation and Glycoproteins Research (5 papers), Colorectal Cancer Screening and Detection (5 papers), Liver Disease and Transplantation (5 papers) and Esophageal and GI Pathology (4 papers). The work is most often cited by research in Gastroenterology (153 citations), Pulmonary and Respiratory Medicine (297 citations), Surgery (297 citations), Oncology (128 citations) and Pathology and Forensic Medicine (80 citations). Jun Tomoda has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Motowo Mizuno, Takao Tsuji, Joichiro Horii, Tatsuya Toyokawa, Isao Fujita, Akiko Okamoto, Kazuo Watanabe, Tamiya Morikawa, Tomoki Inaba and Koichi Izumikawa. Their work appears in journals such as Journal of Gastroenterology and Hepatology, Journal of Gastroenterology, Digestion, Medicine and Japanese Journal of Clinical Oncology.

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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