Jun Watanabe

2.0k citations
143 papers · 1.3k · h-index 19

Impact in

Papers in

    • Colorectal Cancer Surgical Treatments 11
    • Pancreatic and Hepatic Oncology Research 7
    • Colorectal Cancer Screening and Detection 6

Jun Watanabe

126 papers receiving 1.3k citations

Peers

Jun Watanabe
Comparison fields: 5 of 110
  • Clinical Biochemistry 152
  • Endocrinology, Diabetes and Metabolism 241
  • Biochemistry 80
  • Biochemistry 75
  • Physiology 248
Replace Motoh Iwasa with:
Motoh Iwasa Japan
Hülya Yılmaz Türkiye
Lars P. Bechmann Germany
Hans Blokzijl Netherlands
Natale Vazzana Italy
Sergio Martínez‐Hervás Spain
Josephine Cooney United Kingdom
Manfred W. Baumstark Germany
Stefano Ginanni Corradini Italy
R. Siekmeier Germany
Jun Watanabe relative to Motoh Iwasa Japan Motoh Iwasa's profile →
Citations per field
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Motoh Iwasa · 1×
Citations per year

Countries citing papers authored by Jun Watanabe

Since Specialization
Citations

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

Fields of papers citing papers by Jun Watanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011141
2 199572
3 201455
4 198851
5 202348
6 198448
7 201641
8 201131
9 202029
10 201628
11 200227
12 200125
13 198825
14 202125
15 198921
16 199321
17 198620
18 202119
19 201919
20 202118

About Jun Watanabe

Jun Watanabe is a scholar working on Surgery, Oncology, Pulmonary and Respiratory Medicine, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 143 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (11 papers), Colorectal Cancer Surgical Treatments (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Liver Disease Diagnosis and Treatment (8 papers), Pancreatic and Hepatic Oncology Research (7 papers), Nutrition and Health in Aging (7 papers), Paraoxonase enzyme and polymorphisms (6 papers) and Colorectal Cancer Screening and Detection (6 papers). The work is most often cited by research in Clinical Biochemistry (152 citations), Endocrinology, Diabetes and Metabolism (241 citations), Biochemistry (80 citations), Biochemistry (75 citations) and Physiology (248 citations). Jun Watanabe has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Kazuhiko Kotani, Masakazu Haneda, Yumi Takiyama, Yuichi Makino, Yukihiro Fujita, Fumio Umeda, F. Umeda, Hajime Nawata, Shinsuke Kanamura and Hiroshi Ibayashi. Their work appears in journals such as Cochrane Database of Systematic Reviews, Diabetes Research and Clinical Practice, Journal of Histochemistry & Cytochemistry, Diabetes and Journal of Clinical Medicine.

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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