Katsuya Toshida

441 citations
41 papers · 301 · h-index 10

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Cancer, Lipids, and Metabolism
    • Cancer-related molecular mechanisms research

Papers in

    • Organ Transplantation Techniques and Outcomes 9
    • Cholangiocarcinoma and Gallbladder Cancer Studies 4
    • Pediatric Hepatobiliary Diseases and Treatments 2
    • Hepatocellular Carcinoma Treatment and Prognosis 5
    • Liver Disease and Transplantation 3

Katsuya Toshida

37 papers receiving 300 citations

Peers

Katsuya Toshida
Comparison fields: 5 of 46
  • Hepatology 55
  • Cancer Research 71
  • Pulmonary and Respiratory Medicine 104
  • Oncology 56
  • Pathology and Forensic Medicine 19
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Citations per field
00.5×1.7×
Akinari Morinaga · 1×
Citations per year

Countries citing papers authored by Katsuya Toshida

Since Specialization
Citations

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

Fields of papers citing papers by Katsuya Toshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
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11 20239
12 20248
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17 20245
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19 20234
20 20244

About Katsuya Toshida

Katsuya Toshida is a scholar working on Surgery, Hepatology, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 41 papers that have together received 301 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (9 papers), Ferroptosis and cancer prognosis (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Liver Disease and Transplantation (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Pediatric Hepatobiliary Diseases and Treatments (2 papers). The work is most often cited by research in Hepatology (55 citations), Cancer Research (71 citations), Pulmonary and Respiratory Medicine (104 citations), Oncology (56 citations) and Pathology and Forensic Medicine (19 citations). Katsuya Toshida has collaborated with scholars based in Japan and United States. Frequent co-authors include Tomoharu Yoshizumi, Shinji Itoh, Noboru Harada, Yoshihiro Nagao, Takeo Toshima, Takahiro Tomiyama, Takeshi Kurihara, Norifumi Iseda, Takahiro Tomino and Akinari Morinaga. Their work appears in journals such as Hepatology Research, Annals of Surgical Oncology, Surgery Today, Cancer Science and Annals of Gastroenterological Surgery.

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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