Daijin Ko

5.6k total citations · 2 hit papers
45 papers, 4.1k citations indexed

About

Daijin Ko is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Daijin Ko has authored 45 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Artificial Intelligence and 8 papers in Statistics and Probability. Recurrent topics in Daijin Ko's work include Epilepsy research and treatment (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and RNA and protein synthesis mechanisms (4 papers). Daijin Ko is often cited by papers focused on Epilepsy research and treatment (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and RNA and protein synthesis mechanisms (4 papers). Daijin Ko collaborates with scholars based in United States, Malaysia and France. Daijin Ko's co-authors include Alan R. Towne, Robert J. DeLorenzo, John M. Pellock, L.K. Garnett, Jane Boggs, W. Allen Hauser, Lynne Penberthy, Elizabeth Waterhouse, Luiz O. F. Penalva and Suzanne Perea Burns and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Neuroscience.

In The Last Decade

Daijin Ko

44 papers receiving 4.0k citations

Hit Papers

A prospective, population-based epidemiologic study of st... 1994 2026 2004 2015 1996 1994 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daijin Ko United States 23 2.1k 1.6k 940 878 476 45 4.1k
Robert M. Worth United States 33 741 0.4× 468 0.3× 813 0.9× 288 0.3× 527 1.1× 95 3.2k
Phillip Lee United States 43 1.6k 0.8× 1.6k 1.0× 864 0.9× 2.3k 2.6× 770 1.6× 133 8.3k
Wei Zhu United States 37 882 0.4× 130 0.1× 546 0.6× 1.9k 2.1× 847 1.8× 118 6.3k
Frank Dudbridge United Kingdom 44 1.0k 0.5× 529 0.3× 631 0.7× 3.1k 3.6× 809 1.7× 145 10.0k
Caroline Hayward United Kingdom 47 459 0.2× 635 0.4× 321 0.3× 2.7k 3.0× 429 0.9× 220 8.1k
Jessica Lasky‐Su United States 44 564 0.3× 346 0.2× 293 0.3× 1.8k 2.0× 369 0.8× 245 6.2k
Ole Christian Lingjærde Norway 39 1.5k 0.7× 160 0.1× 305 0.3× 2.5k 2.8× 244 0.5× 174 7.0k
Aiyi Liu United States 40 245 0.1× 565 0.3× 249 0.3× 1.5k 1.7× 191 0.4× 232 6.0k
Qihua Tan Denmark 41 349 0.2× 749 0.5× 255 0.3× 3.0k 3.4× 493 1.0× 321 6.7k
Petter Laake Norway 37 276 0.1× 205 0.1× 1.2k 1.3× 1.4k 1.6× 454 1.0× 106 5.5k

Countries citing papers authored by Daijin Ko

Since Specialization
Citations

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

Fields of papers citing papers by Daijin Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daijin Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Daijin Ko. A scholar is included among the top collaborators of Daijin Ko 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 Daijin Ko. Daijin Ko 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.
Rengarajan, Balaji, Wei Wu, Daijin Ko, et al.. (2020). A Comparative Classification Analysis of Abdominal Aortic Aneurysms by Machine Learning Algorithms. Annals of Biomedical Engineering. 48(4). 1419–1429. 21 indexed citations
2.
Ko, Daijin & Matthew J. Wanat. (2016). Phasic Dopamine Transmission Reflects Initiation Vigor and Exerted Effort in an Action- and Region-Specific Manner. Journal of Neuroscience. 36(7). 2202–2211. 49 indexed citations
3.
Hermann, Brian P., Kazadi Nadine Mutoji, Ellen K. Velte, et al.. (2015). Transcriptional and Translational Heterogeneity among Neonatal Mouse Spermatogonia1. Biology of Reproduction. 92(2). 54–54. 84 indexed citations
4.
Branch, Sarah Y., et al.. (2013). Food Restriction Increases Glutamate Receptor-Mediated Burst Firing of Dopamine Neurons. Journal of Neuroscience. 33(34). 13861–13872. 62 indexed citations
5.
Ko, Daijin, et al.. (2013). Combining diverse classifiers using precision index functions. 1(1). 3–3. 2 indexed citations
6.
Ko, Daijin, Charles J. Wilson, Collin J. Lobb, & Carlos A. Paladini. (2012). Detection of bursts and pauses in spike trains. Journal of Neuroscience Methods. 211(1). 145–158. 35 indexed citations
7.
Ko, Daijin & Brad E. Windle. (2011). Enriching for correct prediction of biological processes using a combination of diverse classifiers. BMC Bioinformatics. 12(1). 189–189. 5 indexed citations
8.
Abreu, Raquel de Sousa, Patricia C. Sánchez-Díaz, Christine Vogel, et al.. (2009). Genomic Analyses of Musashi1 Downstream Targets Show a Strong Association with Cancer-related Processes. Journal of Biological Chemistry. 284(18). 12125–12135. 73 indexed citations
9.
Bokov, Alex, Daijin Ko, & Arlan Richardson. (2009). The Effect Of Gonadectomy And Estradiol On Sensitivity To Oxidative Stress. Endocrine Research. 34(1-2). 43–58. 24 indexed citations
10.
Yoon, Kihoon, et al.. (2008). Over-represented sequences located on 3' UTRs are potentially involved in regulatory functions. RNA Biology. 5(4). 255–262. 11 indexed citations
11.
Ko, Daijin, Wanyan Xu, & Brad E. Windle. (2005). Gene function classification using NCI-60 cell line gene expression profiles. Computational Biology and Chemistry. 29(6). 412–419. 5 indexed citations
12.
Waterhouse, Elizabeth, L.K. Garnett, Alan R. Towne, et al.. (1999). Prospective Population‐Based Study of Intermittent and Continuous Convulsive Status Epilepticus in Richmond, Virginia. Epilepsia. 40(6). 752–758. 79 indexed citations
13.
DeLorenzo, Robert J., L.K. Garnett, Alan R. Towne, et al.. (1999). Comparison of Status Epilepticus with Prolonged Seizure Episodes Lasting from 10 to 29 Minutes. Epilepsia. 40(2). 164–169. 170 indexed citations
14.
Sgro, Joseph A., et al.. (1997). Prognostic Value of EEG Monitoring After Status Epilepticus: A Prospective Adult Study. Journal of Clinical Neurophysiology. 14(4). 326–334. 102 indexed citations
15.
DeLorenzo, Robert J., W. Allen Hauser, Alan R. Towne, et al.. (1996). A prospective, population-based epidemiologic study of status epilepticus in Richmond, Virginia. Neurology. 46(4). 1029–1035. 780 indexed citations breakdown →
16.
Towne, Alan R., John M. Pellock, Daijin Ko, & Robert J. DeLorenzo. (1994). Determinants of Mortality in Status Epilepticus. Epilepsia. 35(1). 27–34. 498 indexed citations breakdown →
17.
Ko, Daijin & Ted Chang. (1993). Robust M-Estimators on Spheres. Journal of Multivariate Analysis. 45(1). 104–136. 17 indexed citations
18.
Guo, Hongzhi, et al.. (1991). The effect of prenatal methadone exposure on development and nociception during the early postnatal period of the rat. Neurotoxicology and Teratology. 13(2). 161–166. 40 indexed citations
19.
Eich, David, Danna E. Johnson, John E. Nestler, et al.. (1990). Inhibition of cardiac allograft atherosclerosis by dehydroepiandrosterone. Journal of the American College of Cardiology. 15(2). A128–A128. 7 indexed citations
20.
Kainer, Gad, et al.. (1989). The Effects of Exogenous Rat Growth Hormone Therapy on Growth of Uremic Rats Fed an 8% Protein Diet. Pediatric Research. 26(3). 204–207. 20 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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