Iku Ise

16 papers receiving 1.1k citations

Peers

Iku Ise
Comparison fields: 5 of 59
  • Cardiology and Cardiovascular Medicine 675
  • Infectious Diseases 547
  • Animal Science and Zoology 110
  • Immunology 160
  • Agronomy and Crop Science 80
Replace Hyunwook Lee with:
Hyunwook Lee United States
Dennis G. Macejak United States
Jens‐Jörg Schnorr Germany
Iván Ventoso Spain
Ryan Kuzmickas United States
David C. Ansardi United States
F Horodniceanu France
Jean‐Luc Darlix France
Diane O. Etchison United States
Daniel E. Hassett United States
Iku Ise relative to Hyunwook Lee United States Hyunwook Lee's profile →
Citations per field
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Hyunwook Lee · 1×
Citations per year

Countries citing papers authored by Iku Ise

Since Specialization
Citations

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

Fields of papers citing papers by Iku Ise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1990297
2 1991257
3 1997113
4 199199
5 199489
6 199478
7 199256
8 199444
9 198235
10
Poliovirus-sensitive transgenic mice as a new animal model.
199317
11 198813
12
Seroprevalence of Entamoeba histolytica infection in female outpatients at a sexually transmitted disease sentinel clinic in Tokyo, Japan.
200811
13
Small and large forms of hepatitis B e antigen in the serum: determination by two-site sandwich radioimmunoassay with monoclonal antibodies.
198610
14 19869
15 20085
16 19801

About Iku Ise

Iku Ise is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Genetics, Epidemiology and Hematology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (8 papers), Viral Infections and Immunology Research (8 papers), Hepatitis B Virus Studies (5 papers), Virus-based gene therapy research (4 papers), Blood groups and transfusion (3 papers), Diagnosis and treatment of tuberculosis (2 papers), Parasitic Infections and Diagnostics (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (675 citations), Infectious Diseases (547 citations), Animal Science and Zoology (110 citations), Immunology (160 citations) and Agronomy and Crop Science (80 citations). Iku Ise has collaborated with scholars based in Japan, Tunisia and Croatia. Frequent co-authors include Satoshi Koike, Akio Nomoto, Hiromichi Yonekawa, Choji Taya, Takayasu Kurata, Satoshi Abe, Harumi Horie, Junken Aoki, Narushi Iizuka and Tsutomu Takegami. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Archives of Virology, Experimental Cell Research and Journal of Biological Chemistry.

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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