Hideyuki Kojima

1.6k citations
57 papers · 1.2k · h-index 21

Impact in

  • Hepatology top 2%
    • Liver Disease and Transplantation
    • Liver Diseases and Immunity
    • Liver physiology and pathology
    • Liver Disease Diagnosis and Treatment

Papers in

    • Liver Disease Diagnosis and Treatment 16
    • Liver Disease and Transplantation 11
    • Liver Diseases and Immunity 5

Hideyuki Kojima

53 papers receiving 1.2k citations

Peers

Hideyuki Kojima
Comparison fields: 5 of 90
  • Hepatology 340
  • Epidemiology 476
  • Pathology and Forensic Medicine 177
  • Pharmacology 60
  • Oncology 163
Replace Kei Moriya with:
Kei Moriya Japan
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Jaideep Behari United States
Renata Salzano Italy
Nicholas J. Skill United States
Tatsunori Miyata Japan
Hideyuki Kojima relative to Kei Moriya Japan Kei Moriya's profile →
Citations per field
00.5×5.9×
Kei Moriya · 1×
Citations per year

Countries citing papers authored by Hideyuki Kojima

Since Specialization
Citations

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

Fields of papers citing papers by Hideyuki Kojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000153
2 2003134
3 2006122
4 200778
5 200149
6 200640
7 200539
8 200238
9 200734
10 200733
11 200033
12 199832
13 200529
14 199429
15 200528
16 200828
17 200628
18 200722
19 199922
20 198022

About Hideyuki Kojima

Hideyuki Kojima is a scholar working on Epidemiology, Hepatology, Surgery, Pathology and Forensic Medicine and Oncology, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (16 papers), Liver Disease and Transplantation (11 papers), Alcohol Consumption and Health Effects (6 papers), Liver Diseases and Immunity (5 papers), Diagnosis and treatment of tuberculosis (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Eicosanoids and Hypertension Pharmacology (2 papers). The work is most often cited by research in Hepatology (340 citations), Epidemiology (476 citations), Pathology and Forensic Medicine (177 citations), Pharmacology (60 citations) and Oncology (163 citations). Hideyuki Kojima has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Hiroshi Fukui, Masahito Uemura, Shinya Sakurai, Hitoshi Yoshiji, Masao Fujimoto, Dietrich Keppler, Tatsuhiro Tsujimoto, Ryuichi Noguchi, Akira Takaya and Tadashi Namisaki. Their work appears in journals such as Journal of Gastroenterology, Alcoholism Clinical and Experimental Research, Journal of Hepatology, Journal of Gastroenterology and Hepatology and 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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