Sho Manabe

672 total citations
26 papers, 499 citations indexed

About

Sho Manabe is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Sho Manabe has authored 26 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 16 papers in Molecular Biology and 3 papers in Ecology. Recurrent topics in Sho Manabe's work include Forensic and Genetic Research (15 papers), Molecular Biology Techniques and Applications (13 papers) and Genetic diversity and population structure (4 papers). Sho Manabe is often cited by papers focused on Forensic and Genetic Research (15 papers), Molecular Biology Techniques and Applications (13 papers) and Genetic diversity and population structure (4 papers). Sho Manabe collaborates with scholars based in Japan. Sho Manabe's co-authors include Keiji Tamaki, Chie Morimoto, Hirokazu Kotani, Chihiro Kawai, Hitoshi Abiru, Masashi Miyao, Tokiko Ishida, Munetaka Ozeki, Hiroshi Utsunomiya and Tetsuo Sakai and has published in prestigious journals such as PLoS ONE, Scientific Reports and Laboratory Investigation.

In The Last Decade

Sho Manabe

24 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sho Manabe Japan 11 249 162 151 116 45 26 499
Yue Han China 13 217 0.9× 60 0.4× 60 0.4× 52 0.4× 53 1.2× 53 446
Xue He China 13 137 0.6× 22 0.1× 83 0.5× 92 0.8× 50 1.1× 35 451
Rocío Núñez‐Torres Spain 12 228 0.9× 59 0.4× 71 0.5× 67 0.6× 102 2.3× 24 480
Pavitra Kumar India 11 163 0.7× 71 0.4× 68 0.5× 24 0.2× 40 0.9× 31 333
Ahmed Abdelfattah Egypt 8 105 0.4× 20 0.1× 62 0.4× 56 0.5× 62 1.4× 28 346
Anita C. Hoskins Australia 11 107 0.4× 46 0.3× 101 0.7× 116 1.0× 128 2.8× 11 452
Sheikh Mohammad Fazle Akbar Japan 12 165 0.7× 18 0.1× 215 1.4× 160 1.4× 24 0.5× 27 462
Neziha Cengic Germany 9 136 0.5× 126 0.8× 73 0.5× 58 0.5× 7 0.2× 9 391
Zhenhao Liu China 12 156 0.6× 53 0.3× 27 0.2× 20 0.2× 54 1.2× 40 375
Tomoe Kobayashi Japan 10 114 0.5× 43 0.3× 112 0.7× 128 1.1× 51 1.1× 27 340

Countries citing papers authored by Sho Manabe

Since Specialization
Citations

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

Fields of papers citing papers by Sho Manabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sho Manabe

This figure shows the co-authorship network connecting the top 25 collaborators of Sho Manabe. A scholar is included among the top collaborators of Sho Manabe 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 Sho Manabe. Sho Manabe 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.
Morimoto, Chie, Sho Manabe, Keiji Tamaki, & Yoko Nishitani. (2024). Development of software for calculating likelihood ratios of kinship analysis accounting for allele drop-out.. 30(1). 87–100.
2.
Manabe, Sho, Koji Fujii, Natsuko Mizuno, et al.. (2021). Development and validation of Kongoh ver. 3.0.1: Open-source software for DNA mixture interpretation in the GlobalFiler system based on a quantitative continuous model. Legal Medicine. 54. 101972–101972. 9 indexed citations
3.
Manabe, Sho, Koji Fujii, Natsuko Mizuno, et al.. (2021). Evaluation of probability distribution models for stutter ratios in the typing system of GlobalFiler and 3500xL Genetic Analyzer. Legal Medicine. 52. 101906–101906. 2 indexed citations
4.
Morimoto, Chie, et al.. (2020). Development of a software for kinship analysis considering linkage and mutation based on a Bayesian network. Forensic Science International Genetics. 47. 102279–102279. 10 indexed citations
5.
Ichioka, Kentaro, et al.. (2020). Rapid semen identification from mixed body fluids using methylation-sensitive high-resolution melting analysis of the DACT1 gene. Legal Medicine. 48. 101806–101806. 6 indexed citations
6.
Manabe, Sho & Keiji Tamaki. (2019). DNA mixture interpretation based on the continuous model. 25(1). 1–14. 1 indexed citations
7.
Manabe, Sho, et al.. (2019). Distinct spectrum of microRNA expression in forensically relevant body fluids and probabilistic discriminant approach. Scientific Reports. 9(1). 14332–14332. 29 indexed citations
8.
Manabe, Sho, et al.. (2018). Optimal small-molecular reference RNA for RT-qPCR-based body fluid identification. Forensic Science International Genetics. 37. 135–142. 16 indexed citations
9.
Morimoto, Chie, et al.. (2017). Discrimination of relationships with the same degree of kinship using chromosomal sharing patterns estimated from high-density SNPs. Forensic Science International Genetics. 33. 10–16. 16 indexed citations
10.
Manabe, Sho, et al.. (2017). Development and validation of open-source software for DNA mixture interpretation based on a quantitative continuous model. PLoS ONE. 12(11). e0188183–e0188183. 38 indexed citations
11.
Manabe, Sho, et al.. (2017). Forensic age prediction for saliva samples using methylation-sensitive high resolution melting: exploratory application for cigarette butts. Scientific Reports. 7(1). 10444–10444. 47 indexed citations
12.
Manabe, Sho, et al.. (2016). New stutter ratio distribution for DNA mixture interpretation based on a continuous model. Legal Medicine. 19. 16–21. 4 indexed citations
13.
Manabe, Sho, et al.. (2016). Forensic age prediction for dead or living samples by use of methylation-sensitive high resolution melting. Legal Medicine. 21. 5–10. 55 indexed citations
14.
Morimoto, Chie, Sho Manabe, Takahisa Kawaguchi, et al.. (2016). Pairwise Kinship Analysis by the Index of Chromosome Sharing Using High-Density Single Nucleotide Polymorphisms. PLoS ONE. 11(7). e0160287–e0160287. 16 indexed citations
15.
Inoue, Hiroyuki, Sho Manabe, Koji Fujii, et al.. (2015). Sibling assessment based on likelihood ratio and total number of shared alleles using 21 short tandem repeat loci included in the GlobalFiler™ kit. Legal Medicine. 19. 122–126. 9 indexed citations
16.
Miyao, Masashi, Hirokazu Kotani, Tokiko Ishida, et al.. (2015). Pivotal role of liver sinusoidal endothelial cells in NAFLD/NASH progression. Laboratory Investigation. 95(10). 1130–1144. 192 indexed citations
17.
Kotani, Hirokazu, Tokiko Ishida, Masashi Miyao, et al.. (2014). Ectopic cervical thymus: A clinicopathological study of consecutive, unselected infant autopsies. International Journal of Pediatric Otorhinolaryngology. 78(11). 1917–1922. 8 indexed citations
18.
Kotani, Hirokazu, Masashi Miyao, Sho Manabe, et al.. (2012). Relationship of red splenic arteriolar hyaline with rapid death: a clinicopathological study of 82 autopsy cases. Diagnostic Pathology. 7(1). 182–182. 4 indexed citations
19.
Miyao, Masashi, Munetaka Ozeki, Hitoshi Abiru, et al.. (2012). Bile canalicular abnormalities in the early phase of a mouse model of sclerosing cholangitis. Digestive and Liver Disease. 45(3). 216–225. 13 indexed citations
20.
Manabe, Sho, Yuki Mori, Chihiro Kawai, Munetaka Ozeki, & Keiji Tamaki. (2012). Mixture interpretation: Experimental and simulated reevaluation of qualitative analysis. Legal Medicine. 15(2). 66–71. 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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