H. Kikuta

692 citations
16 papers · 433 indexed · h-index 11
Topics
Viral-associated cancers and disorders (5 papers)Parvovirus B19 Infection Studies (3 papers)Immune Cell Function and Interaction (3 papers)
Partner nations
JapanBrazilSlovakia

In The Last Decade

H. Kikuta

16 papers receiving 413 citations

Peers

H. Kikuta
Comparison fields: 5 of 56
  • Epidemiology 160
  • Infectious Diseases 147
  • Immunology 145
  • Oncology 131
  • Hematology 69
Replace Niga Nawroly with:
Niga Nawroly United Kingdom
Takako Nakahara Japan
Gilhen Rodriguez United States
Sambasivan Venkatasubramanian United States
I Keser Türkiye
M. Michallet France
Beata Wolska‐Kuśnierz Poland
Hind Hamzeh France
AJ Cant United Kingdom
K Heyne Germany
H. Kikuta relative to Niga Nawroly United Kingdom Niga Nawroly's profile →
Citations per field
00.5×1.5×2.2×
Niga Nawroly · 1×
Citations per year

Countries citing papers authored by H. Kikuta

Since Specialization
Citations

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

Fields of papers citing papers by H. Kikuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Kikuta

This figure shows the co-authorship network connecting the top 25 collaborators of H. Kikuta. A scholar is included among the top collaborators of H. Kikuta 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 H. Kikuta. H. Kikuta 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 24
2 64
3 23
4 8
5 2
6 12
7 31
8 33
9 29
10
Epstein-Barr virus genome-positive tubulointerstitial nephritis associated with Kawasaki disease-like coronary aneurysms.
22
11 111
12 15
13 44
14
Kawasaki disease and Epstein-Barr virus infection.
2
15
[IFN production by Epstein-Barr virus in human mononuclear leukocytes and suppression of the virus-induced transformation by the endogenous interferon].
4
16 9

About H. Kikuta

H. Kikuta is a scholar working on Immunology, Infectious Diseases and Oncology, having authored 16 papers that have together received 433 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (5 papers), Parvovirus B19 Infection Studies (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Infectious Diseases (147 citations), Immunology (145 citations) and Hematology (69 citations). H. Kikuta has collaborated with scholars based in Japan, Brazil and Slovakia. Frequent co-authors include Osamu Itakura, Tohru Nakano, Shingo Matsumoto, Yukio Sakiyama, Kanji Hirai, Takahiro Oka, Takashi Hironaka, Shuzo Matsumoto, Mitsuo Narita and T Togashi. Their work appears in journals such as Blood, Clinical Infectious Diseases and The Journal of Infectious Diseases.

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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