Nobuhide Doi

2.0k total citations
79 papers, 1.6k citations indexed

About

Nobuhide Doi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Nobuhide Doi has authored 79 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 25 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Genetics. Recurrent topics in Nobuhide Doi's work include Monoclonal and Polyclonal Antibodies Research (23 papers), RNA and protein synthesis mechanisms (23 papers) and Advanced biosensing and bioanalysis techniques (13 papers). Nobuhide Doi is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (23 papers), RNA and protein synthesis mechanisms (23 papers) and Advanced biosensing and bioanalysis techniques (13 papers). Nobuhide Doi collaborates with scholars based in Japan, United States and Russia. Nobuhide Doi's co-authors include Hiroshi Yanagawa, Kei Fujiwara, Hideaki Takashima, Etsuko Miyamoto‐Sato, Kenichi Horisawa, Mitsuhiro Itaya, Kenji Tsuge, Tomoko Nishizaki, Natsuhiko Yoshinaga and Rieko Oyama and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and ACS Nano.

In The Last Decade

Nobuhide Doi

75 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nobuhide Doi Japan 23 1.3k 441 202 170 133 79 1.6k
Bryan S. Der United States 18 1.6k 1.2× 170 0.4× 207 1.0× 233 1.4× 91 0.7× 22 1.9k
Kasper D. Rand Denmark 33 1.8k 1.4× 358 0.8× 227 1.1× 93 0.5× 71 0.5× 99 3.1k
Sheldon Park United States 16 958 0.7× 245 0.6× 165 0.8× 59 0.3× 84 0.6× 34 1.4k
Christopher P. Toseland United Kingdom 19 1.2k 0.9× 127 0.3× 140 0.7× 143 0.8× 78 0.6× 48 1.7k
Alexey Schulga Russia 22 880 0.7× 425 1.0× 161 0.8× 115 0.7× 91 0.7× 73 1.4k
Cheryl L. Baird United States 14 1.0k 0.8× 254 0.6× 267 1.3× 87 0.5× 40 0.3× 22 1.4k
Burckhard Seelig United States 17 1.3k 1.0× 219 0.5× 139 0.7× 98 0.6× 55 0.4× 34 1.5k
Vikram Khipple Mulligan United States 20 2.5k 1.9× 315 0.7× 112 0.6× 167 1.0× 105 0.8× 32 3.0k
Carsten Behrens Denmark 14 2.3k 1.8× 149 0.3× 167 0.8× 90 0.5× 220 1.7× 25 2.6k
Gevorg Grigoryan United States 22 1.7k 1.3× 212 0.5× 118 0.6× 105 0.6× 170 1.3× 54 2.1k

Countries citing papers authored by Nobuhide Doi

Since Specialization
Citations

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

Fields of papers citing papers by Nobuhide Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuhide Doi

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

All Works

20 of 20 papers shown
1.
Sato, G. Takeshi, Shintaro Miyazawa, Nobuhide Doi, & Kei Fujiwara. (2024). Cell-Free Protein Expression by a Reconstituted Transcription–Translation System Energized by Sugar Catabolism. Molecules. 29(13). 2956–2956. 2 indexed citations
2.
Hirono, Keiichi, et al.. (2024). STALL-seq: mRNA-display selection of bacterial and eukaryotic translational arrest sequences from large random-sequence libraries. Journal of Biological Chemistry. 300(12). 107978–107978.
3.
Sato, G. Takeshi, Takahiro Yamada, Satoshi Arai, et al.. (2024). Metabolic Tug-of-War between Glycolysis and Translation Revealed by Biochemical Reconstitution. ACS Synthetic Biology. 13(5). 1572–1581. 5 indexed citations
4.
Sato, G. Takeshi, Miho Yanagisawa, Yutaka Hori, et al.. (2023). Multimolecular Competition Effect as a Modulator of Protein Localization and Biochemical Networks in Cell‐Size Space. Advanced Science. 11(6). e2308030–e2308030. 3 indexed citations
5.
Yoshinaga, Natsuhiko, et al.. (2022). Controlling the Periodicity of a Reaction–Diffusion Wave in Artificial Cells by a Two-Way Energy Supplier. ACS Nano. 16(10). 16853–16861. 8 indexed citations
6.
Yoshinaga, Natsuhiko, et al.. (2022). Mode selection mechanism in traveling and standing waves revealed by Min wave reconstituted in artificial cells. Science Advances. 8(23). eabm8460–eabm8460. 19 indexed citations
7.
Fujiwara, Kei, et al.. (2022). Cytoplasmic delivery of siRNA using human-derived membrane penetration-enhancing peptide. Journal of Nanobiotechnology. 20(1). 458–458. 8 indexed citations
8.
Doi, Nobuhide, et al.. (2021). Activation of a diluted E. coli cell-free transcription-translation system within liposomes by hypertonic concentration. STAR Protocols. 2(4). 101003–101003. 1 indexed citations
9.
Chadani, Yuhei, et al.. (2021). Transcription–translation of the Escherichia coli genome within artificial cells. Chemical Communications. 57(80). 10367–10370. 6 indexed citations
10.
Sato, G. Takeshi, et al.. (2021). A Relationship between NTP and Cell Extract Concentration for Cell-Free Protein Expression. Life. 11(3). 237–237. 8 indexed citations
11.
12.
Kanai, Yuki, Kei Fujiwara, Takeshi Watanabe, et al.. (2020). Microfluidic screening system based on boron-doped diamond electrodes and dielectrophoretic sorting for directed evolution of NAD(P)-dependent oxidoreductases. Lab on a Chip. 20(4). 852–861. 44 indexed citations
13.
Fujiwara, Kei, et al.. (2020). Conformational equilibrium of MinE regulates the allowable concentration ranges of a protein wave for cell division. Nanoscale. 12(22). 11960–11970. 13 indexed citations
14.
15.
Fujiwara, Kei, et al.. (2019). Regulation of spatiotemporal patterning in artificial cells by a defined protein expression system. Chemical Science. 10(48). 11064–11072. 30 indexed citations
16.
Tabata, Noriko, Nobutaka Matsumura, Hideaki Takashima, et al.. (2012). A Phthalimide Derivative That Inhibits Centrosomal Clustering Is Effective on Multiple Myeloma. PLoS ONE. 7(6). e38878–e38878. 21 indexed citations
17.
Doi, Nobuhide, et al.. (2007). Photocleavable linkage between genotype and phenotype for rapid and efficient recovery of nucleic acids encoding affinity-selected proteins. Journal of Biotechnology. 131(3). 231–239. 14 indexed citations
18.
Doi, Nobuhide, Hideaki Takashima, Rieko Oyama, et al.. (2003). In vitro protein microarrays for detecting protein‐protein interactions: Application of a new method for fluorescence labeling of proteins. PROTEOMICS. 3(7). 1236–1243. 52 indexed citations
19.
Doi, Nobuhide, Hideaki Takashima, Masataka Kinjo, et al.. (2002). Novel Fluorescence Labeling and High-Throughput Assay Technologies for In Vitro Analysis of Protein Interactions. Genome Research. 12(3). 487–492. 58 indexed citations
20.
Doi, Nobuhide, Mitsuhiro Itaya, Tetsuya Yomo, Seiichi Tokura, & Hiroshi Yanagawa. (1997). Insertion of foreign random sequences of 120 amino acid residues into an active enzyme. FEBS Letters. 402(2-3). 177–180. 22 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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