Aki Abe

693 citations
10 papers · 594 · h-index 7

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
  • Epidemiology top 10%
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis B Virus Studies 4
    • Liver Disease Diagnosis and Treatment 3
    • Hepatitis C virus research 3

Aki Abe

10 papers receiving 575 citations

Peers

Aki Abe
Comparison fields: 5 of 67
  • Hepatology 414
  • Epidemiology 430
  • Virology 35
  • Infectious Diseases 98
  • Animal Science and Zoology 32
Replace Maria Grazia Ruvoletto with:
Maria Grazia Ruvoletto Italy
Judith Fresquet France
Stefanie Grethe Germany
Allan G. N. Angus United Kingdom
Bridget M. Donovan United States
James W. Scheffel United States
Françoise Berby France
Michie Hashimoto Japan
Hisao Lizuka Japan
Klaus‐Hinrich Heermann Germany
Aki Abe relative to Maria Grazia Ruvoletto Italy Maria Grazia Ruvoletto's profile →
Citations per field
00.5×7.5×
Maria Grazia Ruvoletto · 1×
Citations per year

Countries citing papers authored by Aki Abe

Since Specialization
Citations

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

Fields of papers citing papers by Aki Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1999256
2 1999238
3 200335
4 200515
5
[Correlation of quantification of major bcr-abl mRNA between TMA (transcription mediated amplification) method and real-time quantitative PCR].
200915
6 200912
7 20229
8 20046
9 20014
10 20024

About Aki Abe

Aki Abe is a scholar working on Epidemiology, Hepatology, Molecular Biology, Geochemistry and Petrology and Rheumatology, having authored 10 papers that have together received 594 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (4 papers), Hepatitis C virus research (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Coal and Its By-products (2 papers), Molecular Biology Techniques and Applications (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Alzheimer's disease research and treatments (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hepatology (414 citations), Epidemiology (430 citations), Virology (35 citations), Infectious Diseases (98 citations) and Animal Science and Zoology (32 citations). Aki Abe has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Michinori Kohara, Takeshi Tanaka, Ryuji Kawaguchi, Kazuaki Inoue, Kyoko Tsukiyama–Kohara, Makoto Yoshiba, Satoshi Tanaka, Tomoko Takeuchi, Naoki Kajiyama and Satoshi Tanaka. Their work appears in journals such as Energy & Fuels, Clinical Gastroenterology and Hepatology, Journal of Clinical Microbiology, Journal of Medical Virology and Transfusion Medicine.

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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