Jun Ishida

521 citations
58 papers · 371 · h-index 10

Impact in

  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Inflammatory Biomarkers in Disease Prognosis
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 17
    • Pancreatic and Hepatic Oncology Research 22

Jun Ishida

41 papers receiving 360 citations

Peers

Jun Ishida
Comparison fields: 5 of 26
  • Oncology 217
  • Hepatology 31
  • Internal Medicine 5
  • Surgery 69
  • Pulmonary and Respiratory Medicine 49
Replace Xiaoying Si with:
Xiaoying Si China
Kazuya Matsunaga Japan
Kazuhiro Toyota Japan
Ryota Nakano Japan
Atsushi Yamaguchi Japan
Vladislav Braşoveanu Romania
Susanna Fissi Italy
Yoshihide Nanno Japan
Kenta Sui Japan
Susumu Takamatsu Japan
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Citations per field
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Citations per year

Countries citing papers authored by Jun Ishida

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201566
2 201437
3 202236
4 202322
5 201619
6 201018
7 202016
8 201415
9 202112
10 201110
11 202110
12 202310
13 20219
14 20249
15 20217
16 20226
17 20236
18
[A Patient with Multiple Pancreatic Metastases Undergoing Total Pancreatectomy 18 Years after Renal Cell Carcinoma Resection].
20185
19 20195
20 20235

About Jun Ishida

Jun Ishida is a scholar working on Hepatology, Oncology, Surgery, Internal Medicine and Epidemiology, having authored 58 papers that have together received 371 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (22 papers), Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Neuroendocrine Tumor Research Advances (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Pancreatic function and diabetes (2 papers), Abdominal vascular conditions and treatments (2 papers) and Enhanced Recovery After Surgery (2 papers). The work is most often cited by research in Oncology (217 citations), Hepatology (31 citations), Internal Medicine (5 citations), Surgery (69 citations) and Pulmonary and Respiratory Medicine (49 citations). Jun Ishida has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Takumi Fukumoto, Tetsuo Ajiki, Hirochika Toyama, Sadaki Asari, Yonson Ku, Tadahiro Goto, Ippei Matsumoto, Makoto Shinzeki, Masahiro Kido and Salvador Rodriguez Franco. Their work appears in journals such as Surgery Today, Pancreatology, Anticancer Research, Annals of Gastroenterological Surgery and Annals of Surgical 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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