N. Tono

632 citations
18 papers · 494 · h-index 10

Impact in

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

Papers in

    • Hepatitis C virus research 7
    • Hepatocellular Carcinoma Treatment and Prognosis 3
    • Liver Disease and Transplantation 2
    • Liver Diseases and Immunity 1
    • Hepatitis B Virus Studies 6
    • Liver Disease Diagnosis and Treatment 6

N. Tono

15 papers receiving 475 citations

Peers

N. Tono
Comparison fields: 5 of 57
  • Hepatology 259
  • Epidemiology 226
  • Cancer Research 40
  • Biological Psychiatry 3
  • Molecular Biology 88
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Katherine Walwyn-Brown United Kingdom
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N. Tono relative to Naruyasu Kakita Japan Naruyasu Kakita's profile →
Citations per field
00.5×1.5×
Naruyasu Kakita · 1×
Citations per year

Countries citing papers authored by N. Tono

Since Specialization
Citations

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

Fields of papers citing papers by N. Tono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2005151
2 200665
3 201059
4 200443
5 201043
6 200833
7 200821
8 201219
9 200513
10 201312
11 20138
12 20088
13 20048
14 20096
15 20125
16 20090
17 20090
18 20080

About N. Tono

N. Tono is a scholar working on Hepatology, Epidemiology, Molecular Biology, Infectious Diseases and Animal Science and Zoology, having authored 18 papers that have together received 494 indexed citations. Recurring topics across this work include Hepatitis C virus research (7 papers), Hepatitis B Virus Studies (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Liver Disease and Transplantation (2 papers), Immune Cell Function and Interaction (1 paper), Liver Diseases and Immunity (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Hepatology (259 citations), Epidemiology (226 citations), Cancer Research (40 citations), Biological Psychiatry (3 citations) and Molecular Biology (88 citations). N. Tono has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Patrizia Pontisso, Angelo Gatta, Giorgio Fassina, L. Beneduce, Giovanni Raimondo, Carlo Saitta, Giovanni Squadrito, Anna Maria Maina, Antonina Smedile and Maurizia Rossana Brunetto. Their work appears in journals such as Digestive and Liver Disease, Hepatology, Journal of Medical Virology, The International Journal of Biological Markers and Experimental Biology and 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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