Koh-ichi Ishikawa

624 citations
18 papers · 474 indexed · h-index 9
Topics
HIV Research and Treatment (8 papers)Animal Disease Management and Epidemiology (6 papers)T-cell and Retrovirus Studies (5 papers)
Partner nations
JapanGhanaUnited States

In The Last Decade

Koh-ichi Ishikawa

17 papers receiving 462 citations

Peers

Koh-ichi Ishikawa
Comparison fields: 5 of 75
  • Immunology 213
  • Agronomy and Crop Science 172
  • Ecology, Evolution, Behavior and Systematics 146
  • Virology 141
  • Epidemiology 124
Replace Maarten Schim van der Loeff with:
Maarten Schim van der Loeff Netherlands
K. Devendra Singapore
Arnaldo Etzel Brazil
Marcelo Grossi Araújo Brazil
C. Saura France
A. Massougbodji Benin
Sandra Colombini-Hatch United States
A. Ellrodt France
Rocío Montejano Spain
Cuiling Xu United States
Koh-ichi Ishikawa relative to Maarten Schim van der Loeff Netherlands Maarten Schim van der Loeff's profile →
Citations per field
00.5×4.4×
Maarten Schim van der Loeff · 1×
Citations per year

Countries citing papers authored by Koh-ichi Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Koh-ichi Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koh-ichi Ishikawa. 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 Koh-ichi Ishikawa. The network helps show where Koh-ichi Ishikawa may publish in the future.

Co-authorship network of co-authors of Koh-ichi Ishikawa

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 67
2 51
3 5
4 4
5 1
6 1
7 0
8 2
9 8
10 51
11 6
12 47
13 27
14 19
15 1
16
Development of adult T-cell leukemia-like disease in African green monkey associated with clonal integration of simian T-cell leukemia virus type I.
48
17 32
18 104

About Koh-ichi Ishikawa

Koh-ichi Ishikawa is a scholar working on Virology, Agronomy and Crop Science and Infectious Diseases, having authored 18 papers that have together received 474 indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), Animal Disease Management and Epidemiology (6 papers) and T-cell and Retrovirus Studies (5 papers). The work is most often cited by research in Virology (141 citations), Agronomy and Crop Science (172 citations) and Immunology (213 citations). Koh-ichi Ishikawa has collaborated with scholars based in Japan, Ghana and United States. Frequent co-authors include Masanori Hayami, Hajime Tsujimoto, Kazuaki Kuwabara, Shinya Matsuda, Shigeo Honjo, Masashi Fukasawa, Kenji Fujimori, Kiyohide Fushimi, Atsumi Komuro and Ken NOZAWA. Their work appears in journals such as International Journal of Cancer, Virology and AIDS.

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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