Seiji Ihara

501 citations
23 papers · 409 · h-index 12

Impact in

  • Parasitology top 10%
    • Parasitic Infections and Diagnostics
  • Epidemiology top 10%
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research

Papers in

    • RNA Interference and Gene Delivery 3
    • Glycosylation and Glycoproteins Research 2
    • Cytomegalovirus and herpesvirus research 7
    • Herpesvirus Infections and Treatments 5

Seiji Ihara

23 papers receiving 366 citations

Peers

Seiji Ihara
Comparison fields: 5 of 54
  • Parasitology 63
  • Epidemiology 204
  • Virology 15
  • Immunology 57
  • Infectious Diseases 46
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Citations per year

Countries citing papers authored by Seiji Ihara

Since Specialization
Citations

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

Fields of papers citing papers by Seiji Ihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198275
2 198365
3 200349
4 198447
5 199222
6 197921
7 197818
8 199913
9 197613
10 200312
11 200411
12 198211
13 197811
14 19769
15 19767
16 20027
17 20006
18 19855
19
Human cytomegalovirus-induced inhibition of exogenous thymidine uptake into cell DNA in HEL cells stimulated to proliferate with serum.
19802
20 19872

About Seiji Ihara

Seiji Ihara is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Surgery and Parasitology, having authored 23 papers that have together received 409 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (7 papers), Amoebic Infections and Treatments (6 papers), Parasitic Infections and Diagnostics (5 papers), Diagnosis and treatment of tuberculosis (5 papers), Herpesvirus Infections and Treatments (5 papers), RNA Interference and Gene Delivery (3 papers), Bacteriophages and microbial interactions (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Parasitology (63 citations), Epidemiology (204 citations), Virology (15 citations), Immunology (57 citations) and Infectious Diseases (46 citations). Seiji Ihara has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Tamar Ben‐Porat, Ruth Ann Veach, Beth F. Ladin, Yasushi Watanabe, H. Hampl, Masataka Takekoshi, Shigeaki Tanaka, Hiroshi Tachibana, M Ohtsuka and Fumio Imamoto. Their work appears in journals such as Virology, Cell Structure and Function, Parasitology Research, Clinical and Vaccine Immunology and Antiviral Research.

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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