Mie Inao

1.3k citations
48 papers · 913 · h-index 16

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • Bone and Dental Protein Studies

Papers in

    • Hepatitis C virus research 13
    • Liver physiology and pathology 11
    • Liver Disease and Transplantation 7
    • Liver Disease Diagnosis and Treatment 13
    • Hepatitis B Virus Studies 8

Mie Inao

46 papers receiving 898 citations

Peers

Mie Inao
Comparison fields: 5 of 100
  • Hepatology 486
  • Rheumatology 198
  • Epidemiology 381
  • Pharmacology 93
  • Pathology and Forensic Medicine 93
Replace Akihiko Ohno with:
Akihiko Ohno Japan
Lydia M. Petrovic United States
Christian J. Steib Germany
Khaled Zalata Egypt
Georgia Kafiri Greece
Sabrina Pastacaldi Italy
Raffaella DeFranco Italy
Philipp Lutz Germany
Özden Uzunalımoǧlu Türkiye
Dekai Qiu China
Mie Inao relative to Akihiko Ohno Japan Akihiko Ohno's profile →
Citations per field
00.5×9.7×
Akihiko Ohno · 1×
Citations per year

Countries citing papers authored by Mie Inao

Since Specialization
Citations

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

Fields of papers citing papers by Mie Inao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999131
2 200491
3 199972
4 200558
5 200156
6 200343
7 200041
8 201239
9 201533
10 199828
11 201626
12 200422
13 200418
14 201118
15 201318
16 201517
17 201615
18 200515
19 199914
20 201512

About Mie Inao

Mie Inao is a scholar working on Hepatology, Epidemiology, Surgery, Rheumatology and Molecular Biology, having authored 48 papers that have together received 913 indexed citations. Recurring topics across this work include Hepatitis C virus research (13 papers), Liver Disease Diagnosis and Treatment (13 papers), Liver physiology and pathology (11 papers), Hepatitis B Virus Studies (8 papers), Bone and Dental Protein Studies (8 papers), Liver Disease and Transplantation (7 papers), HIV/AIDS drug development and treatment (6 papers) and Organ Transplantation Techniques and Outcomes (5 papers). The work is most often cited by research in Hepatology (486 citations), Rheumatology (198 citations), Epidemiology (381 citations), Pharmacology (93 citations) and Pathology and Forensic Medicine (93 citations). Mie Inao has collaborated with scholars based in Japan and United States. Frequent co-authors include Satoshi Mochida, Kenji Fujiwara, Atsushi Matsui, Sumiko Nagoshi, Satoshi Mochida, Keiko Ishikawa, Nobuaki Nakayama, Akihiko Ohno, Hitoshi Ikeda and Kayoko Naiki. Their work appears in journals such as Hepatology Research, Journal of Gastroenterology, Biochemical and Biophysical Research Communications, Journal of Gastroenterology and Hepatology and Life Sciences.

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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