K Ishikawa

686 citations
9 papers · 505 indexed · h-index 7
Topics
HIV Research and Treatment (2 papers)HIV/AIDS Research and Interventions (2 papers)Immune Cell Function and Interaction (2 papers)
Partner nations
JapanUnited States

In The Last Decade

K Ishikawa

9 papers receiving 485 citations

Peers

K Ishikawa
Comparison fields: 5 of 65
  • Molecular Biology 238
  • Virology 150
  • Cellular and Molecular Neuroscience 147
  • Biomaterials 121
  • Epidemiology 93
Replace Melanie S. Prasol with:
Melanie S. Prasol United States
Valentina Krendelchtchikova United States
V. Yu. Polyakov Russia
Gonzalo Riadi Chile
Julie Brown United Kingdom
Kirk Brown United States
Elisha Zeelon Israel
Amos Markus Israel
Zain Bengali United States
Mitla Garcia‐Maya United Kingdom
K Ishikawa relative to Melanie S. Prasol United States Melanie S. Prasol's profile →
Citations per field
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Melanie S. Prasol · 1×
Citations per year

Countries citing papers authored by K Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by K Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Ishikawa

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 22
2 157
3
[Organ transplant network in Japan: current status and its role].
1
4 5
5 11
6 141
7 9
8 140
9
Hematologic abnormalities similar to the preleukemic state of adult T-cell leukemia in African green monkeys naturally infected with simian T-cell leukemia virus.
19

About K Ishikawa

K Ishikawa is a scholar working on Virology, Transplantation and Health Information Management, having authored 9 papers that have together received 505 indexed citations. Recurring topics across this work include HIV Research and Treatment (2 papers), HIV/AIDS Research and Interventions (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Virology (150 citations), Biomaterials (121 citations) and Cellular and Molecular Neuroscience (147 citations). K Ishikawa has collaborated with scholars based in Japan and United States. Frequent co-authors include Hajime Tsujimoto, Yoshihiro Ohta, Junko Suzuki, Masuyo Nakai, Tomoyuki Miura, Terumi Saito, Kazuyoshi Tomita, Kiichi Suzuki, Georges E. Roelants and K. Miwa. Their work appears in journals such as Journal of Virology, Journal of Bacteriology and Human Molecular Genetics.

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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