Tomoko Hirozane-Kishikawa

12.0k citations
6 papers · 1.4k indexed · 1 hit paper · h-index 6
Topics
CRISPR and Genetic Engineering (2 papers)Modular Robots and Swarm Intelligence (1 paper)Marine animal studies overview (1 paper)

In The Last Decade

Tomoko Hirozane-Kishikawa

6 papers receiving 1.4k citations

Hit Papers

Toward Improving Caenorhabditis elegans Phenome Mapping W...20042026201120182004200400600

Peers

Tomoko Hirozane-Kishikawa
Comparison fields: 5 of 102
  • Molecular Biology 854
  • Aging 540
  • Cell Biology 146
  • Genetics 124
  • Endocrine and Autonomic Systems 123
Replace Charalampos Rallis with:
Charalampos Rallis United Kingdom
William A. Zehring United States
John Yochem United States
Erich Brunner Switzerland
David P. Welchman United Kingdom
Petr Šimeček Czechia
Fred van Leeuwen Netherlands
Carmen C. Robinett United States
Nathalie Le Bot United States
David Gubb United Kingdom
Tomoko Hirozane-Kishikawa relative to Charalampos Rallis United Kingdom Charalampos Rallis's profile →
Citations per field
00.5×3.2×
Charalampos Rallis · 1×
Citations per year

Countries citing papers authored by Tomoko Hirozane-Kishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Hirozane-Kishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomoko Hirozane-Kishikawa. 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 Tomoko Hirozane-Kishikawa. The network helps show where Tomoko Hirozane-Kishikawa may publish in the future.

Co-authorship network of co-authors of Tomoko Hirozane-Kishikawa

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 188
2 32
3 295
4 149
5
Toward Improving Caenorhabditis elegans Phenome Mapping With an ORFeome-Based RNAi Librarybreakdown →
720
6 9

About Tomoko Hirozane-Kishikawa

Tomoko Hirozane-Kishikawa is a scholar working on Aging, Developmental Biology and Cell Biology, having authored 6 papers that have together received 1.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (2 papers), Modular Robots and Swarm Intelligence (1 paper) and Marine animal studies overview (1 paper). The work is most often cited by research in Aging (540 citations), Developmental Biology (105 citations) and Endocrine and Autonomic Systems (123 citations). Tomoko Hirozane-Kishikawa has collaborated with scholars based in United States, Japan and Philippines. Frequent co-authors include Marc Vidal, David E. Hill, Tong Hao, Jean‐François Rual, Julián Cerón, John Koreth, Sander van den Heuvel, Stuart H. Orkin, Jean Vandenhaute and Anne‐Sophie Nicot. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Methods and Genome 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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