Ritsu Honda

561 total citations
9 papers, 467 citations indexed

About

Ritsu Honda is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Ritsu Honda has authored 9 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Biomedical Engineering. Recurrent topics in Ritsu Honda's work include Advanced Biosensing Techniques and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Microfluidic and Capillary Electrophoresis Applications (2 papers). Ritsu Honda is often cited by papers focused on Advanced Biosensing Techniques and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Microfluidic and Capillary Electrophoresis Applications (2 papers). Ritsu Honda collaborates with scholars based in Japan and United States. Ritsu Honda's co-authors include Hiroyuki Kishi, Atsushi Muraguchi, Eiichi Tamiya, Sachiko Kondo, Yoshiharu Tokimitsu, S. Ramachandra Rao, Shohei Yamamura, Ikuko Kimura, Jennifer E. Van Eyk and Stephen F. Vatner and has published in prestigious journals such as Circulation Research, Analytical Chemistry and Lab on a Chip.

In The Last Decade

Ritsu Honda

9 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ritsu Honda Japan 7 243 168 71 58 43 9 467
J.-C. Beloeil France 13 80 0.3× 184 1.1× 47 0.7× 106 1.8× 8 0.2× 16 426
Sathya Srinivasan United States 10 121 0.5× 287 1.7× 24 0.3× 21 0.4× 9 0.2× 18 434
Ting Zhu China 7 181 0.7× 105 0.6× 8 0.1× 65 1.1× 10 0.2× 15 394
Jean‐Michel Franconi France 9 42 0.2× 127 0.8× 15 0.2× 61 1.1× 9 0.2× 11 381
J A van Best Netherlands 18 73 0.3× 234 1.4× 16 0.2× 441 7.6× 17 0.4× 43 1.0k
Young R. Kim United States 16 69 0.3× 166 1.0× 11 0.2× 173 3.0× 17 0.4× 26 568
Eva A. Rog‐Zielinska Germany 17 77 0.3× 445 2.6× 428 6.0× 18 0.3× 20 0.5× 27 898
Erik Harks Netherlands 14 46 0.2× 328 2.0× 400 5.6× 27 0.5× 10 0.2× 17 678
Christopher O’Shea United Kingdom 13 48 0.2× 138 0.8× 254 3.6× 31 0.5× 18 0.4× 35 453
Janice A. Zawaski United States 12 75 0.3× 93 0.6× 15 0.2× 94 1.6× 4 0.1× 22 470

Countries citing papers authored by Ritsu Honda

Since Specialization
Citations

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

Fields of papers citing papers by Ritsu Honda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritsu Honda

This figure shows the co-authorship network connecting the top 25 collaborators of Ritsu Honda. A scholar is included among the top collaborators of Ritsu Honda 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 Ritsu Honda. Ritsu Honda 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
1.
Ozawa, Tatsuhiko, Shinichi Kadowaki, Kazuto Tajiri, et al.. (2008). MAC-CCD system: a novel lymphocyte microwell-array chip system equipped with CCD scanner to generate human monoclonal antibodies against influenza virus. Lab on a Chip. 9(1). 158–163. 25 indexed citations
2.
Tokimitsu, Yoshiharu, Hiroyuki Kishi, Sachiko Kondo, et al.. (2007). Single lymphocyte analysis with a microwell array chip. Cytometry Part A. 71A(12). 1003–1010. 85 indexed citations
3.
Yamamura, Shohei, Hiroyuki Kishi, Yoshiharu Tokimitsu, et al.. (2005). Single-Cell Microarray for Analyzing Cellular Response. Analytical Chemistry. 77(24). 8050–8056. 212 indexed citations
4.
Tsuneki, Hiroshi, Y. SUGIHARA, Ritsu Honda, et al.. (2002). Reduction of blood glucose level by orexins in fasting normal and streptozotocin-diabetic mice. European Journal of Pharmacology. 448(2-3). 245–252. 31 indexed citations
5.
Kim, Song-Jung, Raymond K. Kudej, Atsuko Yatani, et al.. (2001). A Novel Mechanism for Myocardial Stunning Involving Impaired Ca 2+ Handling. Circulation Research. 89(9). 831–837. 83 indexed citations
6.
Kimura, Ikuko, et al.. (2000). Vascular Endothelial Growth Factor Promotes Cell-Cycle Transition From G0 to G1 Phase in Subcultured Endothelial Cells of Diabetic Rat Thoracic Aorta.. The Japanese Journal of Pharmacology. 83(1). 47–55. 16 indexed citations
7.
Kimura, Ikuko, Md. Amirul Islam, Ritsu Honda, et al.. (2000). Blood-Pressure Lowering, Positive Chronotropy and Inotropy by theVeratrumAlkaloids Germidine and Germerine but Negative Chronotropy by Veratridine in Mice. Journal of Asian Natural Products Research. 2(2). 133–144. 1 indexed citations
9.
Kimura, Ikuko, Mitsuhiro Makino, Ritsu Honda, Jun Ma, & Masayasu Kimura. (1995). Expression of Major Histocompatibility Complex in Mouse Peritoneal Macrophages Increasingly Depends on Plasma Corticosterone Levels: Stimulation by Aconitine.. Biological and Pharmaceutical Bulletin. 18(11). 1504–1508. 5 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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