Masato Kishida

500 citations
18 papers · 440 · h-index 10

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Hepatitis C virus research
  • Physiology top 10%
    • Nutrition and Health in Aging

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 5
    • Liver Disease and Transplantation 1
    • Nutrition and Health in Aging 6

Masato Kishida

17 papers receiving 431 citations

Peers

Masato Kishida
Comparison fields: 5 of 63
  • Hepatology 133
  • Physiology 201
  • Geriatrics and Gerontology 22
  • Geochemistry and Petrology 20
  • Epidemiology 79
Replace Mika Ogawa with:
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Masato Kishida relative to Mika Ogawa Japan Mika Ogawa's profile →
Citations per field
00.5×5×11.2×
Mika Ogawa · 1×
Citations per year

Countries citing papers authored by Masato Kishida

Since Specialization
Citations

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

Fields of papers citing papers by Masato Kishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2017118
2 201686
3 200256
4 201927
5 201826
6 201722
7 201722
8 201719
9 201918
10 201813
11 20117
12 20197
13 19746
14 19906
15 20175
16 20191
17 20211
18 20170

About Masato Kishida

Masato Kishida is a scholar working on Hepatology, Physiology, Geochemistry and Petrology, Speech and Hearing and Clinical Biochemistry, having authored 18 papers that have together received 440 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Cancer Mechanisms and Therapy (1 paper), Liver Disease and Transplantation (1 paper), Dysphagia Assessment and Management (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Cardiac pacing and defibrillation studies (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Hepatology (133 citations), Physiology (201 citations), Geriatrics and Gerontology (22 citations), Geochemistry and Petrology (20 citations) and Epidemiology (79 citations). Masato Kishida has collaborated with scholars based in Japan. Frequent co-authors include Ryuji Tamura, Yoshihiko Yokoyama, Sachiko Takeuchi, Yasushi Kamimura, J. Q. Guo, Taku Sato, A.‐P. Tsai, Keiichi Edagawa, Bunzo Matsuura and Kenichiro Mori. Their work appears in journals such as Hepatology Research, Oncology, Journal of Gastroenterology and Hepatology, QJM and European Journal of Gastroenterology & Hepatology.

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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