Akiko Izawa

612 citations
16 papers · 537 indexed · h-index 11
Topics
Liver physiology and pathology (2 papers)Liver Disease Diagnosis and Treatment (2 papers)HER2/EGFR in Cancer Research (2 papers)
Partner nations
JapanUnited StatesTaiwan

In The Last Decade

Akiko Izawa

16 papers receiving 529 citations

Peers

Akiko Izawa
Comparison fields: 5 of 74
  • Molecular Biology 250
  • Immunology 169
  • Oncology 132
  • Epidemiology 70
  • Pulmonary and Respiratory Medicine 62
Replace Murat Serilmez with:
Murat Serilmez Türkiye
Mi-Yeon Jung South Korea
H J Gruss Germany
Morihiro Watanabe Japan
Masayasu Kitano Japan
Louis Savas United States
Veena Shah United States
Xin Maggie Wang Australia
Jan A. Bruijn Netherlands
Taichiro Miyashita Japan
Akiko Izawa relative to Murat Serilmez Türkiye Murat Serilmez's profile →
Citations per field
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Murat Serilmez · 1×
Citations per year

Countries citing papers authored by Akiko Izawa

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Izawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Izawa

This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Izawa. A scholar is included among the top collaborators of Akiko Izawa 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 Akiko Izawa. Akiko Izawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 12
3 10
4 13
5 3
6 31
7 79
8 4
9 28
10 66
11
Relevance of c-erbB2, PLU-1 and survivin mRNA expression to diagnostic assessment of breast cancer.
13
12
Survivin mRNA expression in patients with breast cancer.
47
13 67
14
Hematopoietic progenitor cell counts performed by the Sysmex SE-9000 analyzer can guide timing of peripheral blood stem cell harvest.
6
15
Functional hierarchy of c-kit and c-fms in intramarrow production of CFU-M.
150
16 7

About Akiko Izawa

Akiko Izawa is a scholar working on Hepatology, Hematology and Immunology and Allergy, having authored 16 papers that have together received 537 indexed citations. Recurring topics across this work include Liver physiology and pathology (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Immunology (169 citations), Hepatology (39 citations) and Oncology (132 citations). Akiko Izawa has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Noriko Ohno, Hiroshi Kataoka, T Sudo, Minetaro Ogawa, Shimpei Nishikawa, Seiji Hayashi, Masahiro Takahashi, Masakazu Hattori, Hirohiko Ise and Tetsuo Sudo. Their work appears in journals such as Cardiovascular Research, Stem Cells and Cancer Letters.

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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