Christopher A. Aoki

993 citations
19 papers · 760 · h-index 13

Impact in

  • Hepatology top 5%
    • Liver Diseases and Immunity
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • Liver Diseases and Immunity 4
    • Hepatocellular Carcinoma Treatment and Prognosis 3
    • Liver Disease Diagnosis and Treatment 5

Christopher A. Aoki

18 papers receiving 738 citations

Peers

Christopher A. Aoki
Comparison fields: 5 of 91
  • Hepatology 250
  • Immunology 164
  • Rheumatology 103
  • Epidemiology 184
  • Hematology 61
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Christopher A. Aoki relative to Hiroaki Haga Japan Hiroaki Haga's profile →
Citations per field
00.5×3.4×
Hiroaki Haga · 1×
Citations per year

Countries citing papers authored by Christopher A. Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Christopher A. Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher A. Aoki. 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 Christopher A. Aoki. The network helps show where Christopher A. Aoki may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2006140
2 200598
3 200594
4 200579
5
Liver hepcidin mRNA correlates with iron stores, but not inflammation, in patients with chronic hepatitis C.
200562
6 200558
7 200458
8 201035
9 200334
10 200526
11 201022
12 200819
13 200613
14 200810
15 20055
16 19884
17
[A case of advanced hepatocellular carcinoma (Vp3) with right adrenal gland metastasis successfully treated with repeated arterial infusion chemotherapy using low dose CDDP and 5-FU through an implanted reservoir].
20012
18 20031
19 20210

About Christopher A. Aoki

Christopher A. Aoki is a scholar working on Hepatology, Epidemiology, Rheumatology, Genetics and Hematology, having authored 19 papers that have together received 760 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Liver Diseases and Immunity (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Diabetes and associated disorders (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Embedded Systems Design Techniques (2 papers), Systemic Lupus Erythematosus Research (2 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Hepatology (250 citations), Immunology (164 citations), Rheumatology (103 citations), Epidemiology (184 citations) and Hematology (61 citations). Christopher A. Aoki has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include M. Eric Gershwin, Christopher L. Bowlus, Aftab A. Ansari, C.W. Keen, Angela Borchers, Yehuda Shoenfeld, Chaim M. Roifman, Gary L. Norman, Zhe‐Xiong Lian and Lorenzo Rossaro. Their work appears in journals such as Autoimmunity Reviews, The American Journal of Gastroenterology, Cancer Epidemiology Biomarkers & Prevention, Obesity and Telemedicine Journal and e-Health.

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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