Tomoko Hirozane-Kishikawa

12.0k total citations · 1 hit paper
6 papers, 1.4k citations indexed

About

Tomoko Hirozane-Kishikawa is a scholar working on Molecular Biology, Computer Networks and Communications and Pathology and Forensic Medicine. According to data from OpenAlex, Tomoko Hirozane-Kishikawa has authored 6 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Computer Networks and Communications and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Tomoko Hirozane-Kishikawa's work include CRISPR and Genetic Engineering (2 papers), Modular Robots and Swarm Intelligence (1 paper) and Marine animal studies overview (1 paper). Tomoko Hirozane-Kishikawa is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), Modular Robots and Swarm Intelligence (1 paper) and Marine animal studies overview (1 paper). Tomoko Hirozane-Kishikawa collaborates with scholars based in United States, Japan and France. Tomoko Hirozane-Kishikawa's co-authors include David E. Hill, Marc Vidal, Tong Hao, Jean‐François Rual, Julián Cerón, Jean Vandenhaute, Sander van den Heuvel, John Koreth, Anne‐Sophie Nicot and Stuart H. Orkin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Methods and Genome Research.

In The Last Decade

Tomoko Hirozane-Kishikawa

6 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Toward Improving Caenorhabditis elegans Phenome Mapping With an ORFeome-Based RNAi Library

2004 720 citations Jean‐François Rual, Julián Cerón et al. Genome Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tomoko Hirozane-Kishikawa United States	6	854	540	146	124	123	6	1.4k
Charalampos Rallis United Kingdom	19	1.2k 1.4×	178 0.3×	162 1.1×	292 2.4×	38 0.3×	43	1.6k
John Yochem United States	25	1.8k 2.1×	1.0k 1.9×	422 2.9×	370 3.0×	330 2.7×	36	2.6k
William A. Zehring United States	11	607 0.7×	120 0.2×	40 0.3×	218 1.8×	559 4.5×	13	1.3k
F. Kenneth Nelson United States	16	1.2k 1.4×	307 0.6×	90 0.6×	253 2.0×	89 0.7×	22	1.9k
Thomas M. Barnes Canada	13	826 1.0×	826 1.5×	148 1.0×	218 1.8×	257 2.1×	15	1.5k
Erich Brunner Switzerland	20	1.9k 2.2×	87 0.2×	206 1.4×	207 1.7×	15 0.1×	32	2.2k
Zhuo Du China	21	1.1k 1.3×	338 0.6×	241 1.7×	285 2.3×	65 0.5×	61	1.8k
Thomas Raabe Germany	25	1.4k 1.6×	155 0.3×	566 3.9×	249 2.0×	332 2.7×	62	2.3k
Long Miao China	18	483 0.6×	305 0.6×	237 1.6×	99 0.8×	59 0.5×	35	1.1k
Carmen C. Robinett United States	12	1.3k 1.5×	54 0.1×	360 2.5×	550 4.4×	25 0.2×	13	1.9k

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

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Yu, Haiyuan, Stanley Tam, Fana Gebreab, et al.. (2011). Next-generation sequencing to generate interactome datasets. Nature Methods. 8(6). 478–480. 188 indexed citations

2.

Xin, Xiaofeng, Jean‐François Rual, Tomoko Hirozane-Kishikawa, et al.. (2009). Shifted Transversal Design smart-pooling for high coverage interactome mapping. Genome Research. 19(7). 1262–1269. 32 indexed citations

3.

Calderwood, Michael A., K. Venkatesan, Li Xing, et al.. (2007). Epstein–Barr virus and virus human protein interaction maps. Proceedings of the National Academy of Sciences. 104(18). 7606–7611. 295 indexed citations

4.

Wada, Kazuhiro, Jason T. Howard, Patrick McConnell, et al.. (2006). A molecular neuroethological approach for identifying and characterizing a cascade of behaviorally regulated genes. Proceedings of the National Academy of Sciences. 103(41). 15212–15217. 149 indexed citations

5.

Rual, Jean‐François, Julián Cerón, John Koreth, et al.. (2004). Toward Improving Caenorhabditis elegans Phenome Mapping With an ORFeome-Based RNAi Library. Genome Research. 14(10b). 2162–2168. 720 indexed citations breakdown →

6.

Hirozane-Kishikawa, Tomoko, Toshiyuki Shiraki, Kazunori Waki, et al.. (2003). Subtraction of cap-trapped full-length cDNA libraries to select rare transcripts. BioTechniques. 35(3). 510–518. 9 indexed citations

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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