Kenji Abe

7.9k citations
258 papers · 6.5k · h-index 45

Impact in

  • Hepatology top 0.2%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Venous Thromboembolism Diagnosis and Management

Papers in

    • Hepatitis B Virus Studies 73
    • Liver Disease Diagnosis and Treatment 46
    • Hepatitis C virus research 56
    • Hepatitis Viruses Studies and Epidemiology 14

Kenji Abe

251 papers receiving 6.2k citations

Peers

Kenji Abe
Comparison fields: 5 of 147
  • Hepatology 2.0k
  • Internal Medicine 294
  • Epidemiology 2.5k
  • Virology 211
  • Infectious Diseases 770
Replace Naoya Sakamoto with:
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Kenji Abe relative to Naoya Sakamoto Japan Naoya Sakamoto's profile →
Citations per field
00.5×5×10×15×20×24.5×
Naoya Sakamoto · 1×
Citations per year

Countries citing papers authored by Kenji Abe

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 258 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001242
2 1977238
3 2008217
4 2006136
5 2013120
6 1998112
7 2004109
8 2014109
9 1984100
10 200296
11 200393
12 201588
13 199087
14 199986
15 200385
16 199284
17 200782
18 201481
19 200081
20 199177

About Kenji Abe

Kenji Abe is a scholar working on Epidemiology, Hepatology, Molecular Biology, Physiology and Infectious Diseases, having authored 258 papers that have together received 6.5k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (73 papers), Hepatitis C virus research (56 papers), Liver Disease Diagnosis and Treatment (46 papers), Viral gastroenteritis research and epidemiology (18 papers), Animal Virus Infections Studies (16 papers), Pain Mechanisms and Treatments (16 papers), Neuroscience and Neuropharmacology Research (14 papers) and Hepatitis Viruses Studies and Epidemiology (14 papers). The work is most often cited by research in Hepatology (2.0k citations), Internal Medicine (294 citations), Epidemiology (2.5k citations), Virology (211 citations) and Infectious Diseases (770 citations). Kenji Abe has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Toshio Shikata, Hideo Naito, Shigeki Hayashi, Kyoji Taguchi, Trinh Thi Bich Ngoc, Iku Utsunomiya, Nami Konomi, Khin Maung Win, Tetsutaro Sata and Geneviève Inchauspé. Their work appears in journals such as Journal of Clinical Microbiology, Journal of General Virology, Journal of Medical Virology, The Journal of Antibiotics and Biological and Pharmaceutical Bulletin.

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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