Kenji Shibuta

1.7k citations
41 papers · 1.4k indexed · h-index 20
Topics
Immunotherapy and Immune Responses (9 papers)Chemokine receptors and signaling (9 papers)Genetic factors in colorectal cancer (5 papers)
Partner nations
JapanUnited States

In The Last Decade

Kenji Shibuta

40 papers receiving 1.4k citations

Peers

Kenji Shibuta
Comparison fields: 5 of 76
  • Oncology 703
  • Molecular Biology 573
  • Immunology 499
  • Cancer Research 280
  • Surgery 159
Replace Beryl Y. Eve with:
Beryl Y. Eve United States
B E Elliott Canada
Thomas Jamieson United Kingdom
Takayuki Mizoi Japan
Baiyong Li China
Geralyn M. Meny United States
Kuniaki Aridome Japan
Hiroki Hashida Japan
Yasushi Kasai Japan
Giuliana Cavalloni Italy
Kenji Shibuta relative to Beryl Y. Eve United States Beryl Y. Eve's profile →
Citations per field
00.5×1.5×2.2×
Beryl Y. Eve · 1×
Citations per year

Countries citing papers authored by Kenji Shibuta

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Shibuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Shibuta

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 30
2 32
3 62
4 77
5 34
6 48
7 14
8
Association between restriction fragment length polymorphism of the L-myc gene and susceptibility to gastric cancer
12
9 58
10 39
11 3
12 28
13 67
14 16
15 14
16 39
17 90
18 0
19
Methods in pathology. An improved method for DNA diagnosis of leprosy using formaldehyde-fixed, paraffin-embedded skin biopsies.
6
20 33

About Kenji Shibuta

Kenji Shibuta is a scholar working on Oncology, Cancer Research and Biochemistry, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), Chemokine receptors and signaling (9 papers) and Genetic factors in colorectal cancer (5 papers). The work is most often cited by research in Oncology (703 citations), Immunology (499 citations) and Cancer Research (280 citations). Kenji Shibuta has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroshi Inoue, Masaki Mori, Masaki Mori, Graham F. Barnard, Tsuyoshi Akiyoshi, Noriaki Sadanaga, Keizō Sugimachi, Fumiaki Tanaka, Hiroaki Ueo and Hiroshi Yamaguchi. Their work appears in journals such as Journal of Clinical Oncology, Gastroenterology and Hepatology.

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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