Keiko Miyano

1.7k citations
11 papers · 1.5k indexed · 1 hit paper · h-index 8
Topics
Liver physiology and pathology (6 papers)Stress Responses and Cortisol (1 paper)Cancer Research and Treatments (1 paper)
Partner nations
JapanIndia

In The Last Decade

Keiko Miyano

11 papers receiving 1.5k citations

Hit Papers

Growth of human hepatoma cells lines with differentiated ...198220261996201119824008001.2k

Peers

Keiko Miyano
Comparison fields: 5 of 98
  • Molecular Biology 631
  • Hepatology 544
  • Epidemiology 492
  • Oncology 219
  • Infectious Diseases 169
Replace Hidekazu Nakabayashi with:
Hidekazu Nakabayashi Japan
Harriet C. Isom United States
Hans Jörg Hacker Germany
Sylvie Rumin France
Jacques Le Seyec France
Takahiro Masaki Japan
Franco Turrini Italy
Lee F. Peng United States
J.R. Wands United States
Makoto Hijikata Japan
Keiko Miyano relative to Hidekazu Nakabayashi Japan Hidekazu Nakabayashi's profile →
Citations per field
00.5×1.5×
Hidekazu Nakabayashi · 1×
Citations per year

Countries citing papers authored by Keiko Miyano

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Miyano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Miyano

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Miyano. A scholar is included among the top collaborators of Keiko Miyano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keiko Miyano. Keiko Miyano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 82
2
Phenotypical stability of a human hepatoma cell line, HuH-7, in long-term culture with chemically defined medium.
120
3 19
4 14
5 7
6 4
7
Growth of human hepatoma cells lines with differentiated functions in chemically defined medium.breakdown →
1247
8 8
9 2
10 8
11 9

About Keiko Miyano

Keiko Miyano is a scholar working on Hepatology, Behavioral Neuroscience and Biochemistry, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver physiology and pathology (6 papers), Stress Responses and Cortisol (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Hepatology (544 citations), Virology (81 citations) and Epidemiology (492 citations). Keiko Miyano has collaborated with scholars based in Japan and India. Frequent co-authors include Jiro Sato, Kazuhisa Taketa, Hidekazu Nakabayashi, Takashi Yamane, Masahiro Miyazaki, Munehiro Oda, S A W Fadilah, Toshio Yabe, Akiharu Watanabe and Masayuki Shiraishi. Their work appears in journals such as International Journal of Cancer, Experimental Cell Research and Research in Experimental 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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