Tetsushi Yada

29.4k total citations
36 papers, 618 citations indexed

About

Tetsushi Yada is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Tetsushi Yada has authored 36 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Tetsushi Yada's work include RNA and protein synthesis mechanisms (15 papers), Genomics and Phylogenetic Studies (13 papers) and Machine Learning in Bioinformatics (8 papers). Tetsushi Yada is often cited by papers focused on RNA and protein synthesis mechanisms (15 papers), Genomics and Phylogenetic Studies (13 papers) and Machine Learning in Bioinformatics (8 papers). Tetsushi Yada collaborates with scholars based in Japan, Poland and United States. Tetsushi Yada's co-authors include Nobuyoshi Akimitsu, Yasushi Totoki, Mitsuteru Nakao, Kenta Nakai, Yutaka Suzuki, Naoto Imamachi, Takuma Irie, Kiyoshi Asai, Hidenori Tani and Rena Mizutani and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Tetsushi Yada

32 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tetsushi Yada Japan 12 561 123 63 34 27 36 618
Alexey A. Gritsenko Netherlands 6 355 0.6× 41 0.3× 61 1.0× 36 1.1× 20 0.7× 12 433
Giacomo Baruzzo Italy 9 359 0.6× 106 0.9× 27 0.4× 39 1.1× 10 0.4× 16 479
Roy Ronen United States 12 304 0.5× 118 1.0× 183 2.9× 34 1.0× 13 0.5× 16 485
Jakob H. Havgaard Denmark 14 857 1.5× 203 1.7× 61 1.0× 29 0.9× 14 0.5× 24 916
Alexander Payne United Kingdom 6 351 0.6× 54 0.4× 74 1.2× 67 2.0× 20 0.7× 8 453
Philip C. Zuzarte Canada 6 730 1.3× 112 0.9× 120 1.9× 60 1.8× 36 1.3× 8 842
Alicja Pacholewska Switzerland 12 209 0.4× 137 1.1× 73 1.2× 17 0.5× 24 0.9× 20 407
Andrew M. Smith United States 5 377 0.7× 85 0.7× 69 1.1× 49 1.4× 6 0.2× 6 440
Ted Wong Australia 11 280 0.5× 69 0.6× 52 0.8× 64 1.9× 8 0.3× 18 420

Countries citing papers authored by Tetsushi Yada

Since Specialization
Citations

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

Fields of papers citing papers by Tetsushi Yada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsushi Yada

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsushi Yada. A scholar is included among the top collaborators of Tetsushi Yada 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 Tetsushi Yada. Tetsushi Yada 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.
Tano, Keiko, et al.. (2018). Identification of Minimal p53 Promoter Region Regulated by MALAT1 in Human Lung Adenocarcinoma Cells. Frontiers in Genetics. 8. 208–208. 29 indexed citations
2.
Yada, Tetsushi, et al.. (2018). Asymmetry in indegree and outdegree distributions of gene regulatory networks arising from dynamical robustness. Physical review. E. 97(6). 62315–62315. 5 indexed citations
3.
Yada, Tetsushi, et al.. (2018). Micropeptides Encoded in Transcripts Previously Identified as Long Noncoding RNAs: A New Chapter in Transcriptomics and Proteomics. Frontiers in Genetics. 9. 144–144. 82 indexed citations
4.
Yada, Tetsushi, et al.. (2017). Estimating optimal sparseness of developmental gene networks using a semi-quantitative model. PLoS ONE. 12(4). e0176492–e0176492.
5.
Imamachi, Naoto, Takuma Irie, Hidenori Tani, et al.. (2015). Analysis of RNA decay factor mediated RNA stability contributions on RNA abundance. BMC Genomics. 16(1). 154–154. 35 indexed citations
6.
Yada, Tetsushi, et al.. (2014). Tetrahedral Gray Code for Visualization of Genome Information. PLoS ONE. 9(1). e86133–e86133.
7.
Yada, Tetsushi, et al.. (2013). miRNA-target prediction based on transcriptional regulation. BMC Genomics. 14(S2). S3–S3. 22 indexed citations
8.
Tani, Hidenori, Naoto Imamachi, Kazi Abdus Salam, et al.. (2012). Identification of hundreds of novel UPF1 target transcripts by direct determination of whole transcriptome stability. RNA Biology. 9(11). 1370–1379. 130 indexed citations
9.
Irie, Takuma, Sung‐Joon Park, Riu Yamashita, et al.. (2011). Predicting promoter activities of primary human DNA sequences. Nucleic Acids Research. 39(11). e75–e75. 6 indexed citations
10.
Yada, Tetsushi, et al.. (2008). Reconstruction of transcription–translation dynamics with a model of gene networks. Journal of Theoretical Biology. 255(4). 378–386. 9 indexed citations
11.
Iwamori, Tokuko, et al.. (2006). Analysis of the Promoter of Mutated Human Whey Acidic Protein (WAP) Gene. Journal of Reproduction and Development. 52(2). 315–320. 6 indexed citations
12.
Yada, Tetsushi, et al.. (2001). Quadtree Representation of DNA Sequences. Proceedings Genome Informatics Workshop/Genome informatics. 12. 510–511. 1 indexed citations
13.
Yada, Tetsushi. (2001). A Novel Bacterial Gene-Finding System with Improved Accuracy in Locating Start Codons. DNA Research. 8(3). 97–106. 34 indexed citations
14.
Miura, Fumihito, Tetsushi Yada, Kenta Nakai, Yoshiyuki Sakaki, & Takashi Ito. (2001). Differential display analysis of mutants for the transcription factor Pdr1p regulating multidrug resistance in the budding yeast. FEBS Letters. 505(1). 103–108. 9 indexed citations
15.
Yamanaka, Takashi, Tetsushi Yada, & Kenta Nakai. (1999). An Aberrant Splicing Database for Finding Rules of Splice-Site Selection. Proceedings Genome Informatics Workshop/Genome informatics. 10. 286–287. 2 indexed citations
16.
Yada, Tetsushi, Mitsuteru Nakao, Yasushi Totoki, & Kenta Nakai. (1999). Modeling and predicting transcriptional units of Escherichia coligenes using hidden Markov models. Bioinformatics. 15(12). 987–993. 87 indexed citations
17.
Yada, Tetsushi, Yasushi Totoki, Masato Ishikawa, Kiyoshi Asai, & Kenta Nakai. (1998). Automatic extraction of motifs represented in the hidden Markov model from a number of DNA sequences.. Bioinformatics. 14(4). 317–325. 38 indexed citations
18.
19.
Yada, Tetsushi. (1996). Detection of Short Protein Coding Regions within the Cyanobacterium Genome: Application of the Hidden Markov Model. DNA Research. 3(6). 355–361. 15 indexed citations
20.
Yada, Tetsushi, Masato Ishikawa, Hidetoshi Tanaka, & Kiyoshi Asai. (1994). DNA Sequence Analysis using Hidden Markov Model and Genetic Algorithm. Proceedings Genome Informatics Workshop/Genome informatics. 5. 178–179. 11 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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