I Ise

16 papers receiving 1.0k citations

Peers

I Ise
Comparison fields: 5 of 59
  • Infectious Diseases 515
  • Cardiology and Cardiovascular Medicine 629
  • Animal Science and Zoology 94
  • Immunology 159
  • Genetics 177
Replace Dennis G. Macejak with:
Dennis G. Macejak United States
Hyunwook Lee United States
Jens‐Jörg Schnorr Germany
Jean‐Luc Darlix France
Ryan Kuzmickas United States
F Horodniceanu France
Stephanie Harkins United States
Daniel E. Hassett United States
D C Ansardi United States
Yingpu Yu United States
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Citations per field
00.5×2.6×
Dennis G. Macejak · 1×
Citations per year

Countries citing papers authored by I Ise

Since Specialization
Citations

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

Fields of papers citing papers by I Ise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1990282
2 1991228
3 1997110
4 199190
5 199482
6 199473
7 199251
8 199441
9 198235
10
Poliovirus-sensitive transgenic mice as a new animal model.
199316
11 198812
12
Seroprevalence of Entamoeba histolytica infection in female outpatients at a sexually transmitted disease sentinel clinic in Tokyo, Japan.
200811
13 19869
14
Small and large forms of hepatitis B e antigen in the serum: determination by two-site sandwich radioimmunoassay with monoclonal antibodies.
19869
15 20085
16 19801

About I Ise

I Ise is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology, Genetics and Molecular Biology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (8 papers), Viral gastroenteritis research and epidemiology (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), Monoclonal and Polyclonal Antibodies Research (2 papers) and Parasitic Infections and Diagnostics (2 papers). The work is most often cited by research in Infectious Diseases (515 citations), Cardiology and Cardiovascular Medicine (629 citations), Animal Science and Zoology (94 citations), Immunology (159 citations) and Genetics (177 citations). I Ise has collaborated with scholars based in Japan, Russia and Tunisia. Frequent co-authors include Satoshi Koike, Akio Nomoto, Hiromichi Yonekawa, Choji Taya, Takayasu Kurata, H. Horie, Satoshi Abe, Junken Aoki, Akira Okitsu and Minoru Yoshida. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, The EMBO Journal, Journal of Biological Chemistry and The Lancet.

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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