Engkong Tan

445 total citations
27 papers, 296 citations indexed

About

Engkong Tan is a scholar working on Ecology, Molecular Biology and Genetics. According to data from OpenAlex, Engkong Tan has authored 27 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, 9 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Engkong Tan's work include Physiological and biochemical adaptations (7 papers), Genetic diversity and population structure (6 papers) and Aquaculture Nutrition and Growth (5 papers). Engkong Tan is often cited by papers focused on Physiological and biochemical adaptations (7 papers), Genetic diversity and population structure (6 papers) and Aquaculture Nutrition and Growth (5 papers). Engkong Tan collaborates with scholars based in Japan, Sri Lanka and Indonesia. Engkong Tan's co-authors include Shuichi Asakawa, Shugo Watabe, Shigeharu Kinoshita, A. Arulkanthan, Yuriko Igarashi, Shōji Kitamura, Takashi Yada, Yutaka Suzuki, Shenkui Liu and Shio Kobayashi and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Engkong Tan

27 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Engkong Tan Japan 10 117 108 95 85 50 27 296
Jijia Sun China 12 191 1.6× 98 0.9× 143 1.5× 167 2.0× 19 0.4× 32 416
Ya Liu China 11 166 1.4× 84 0.8× 94 1.0× 65 0.8× 14 0.3× 30 284
Nor Afiqah‐Aleng Malaysia 10 93 0.8× 86 0.8× 84 0.9× 125 1.5× 24 0.5× 32 330
Célia Barrachina France 11 96 0.8× 48 0.4× 49 0.5× 87 1.0× 55 1.1× 16 297
Zhanhui Hou China 10 188 1.6× 103 1.0× 91 1.0× 145 1.7× 24 0.5× 12 369
Zhaofang Han China 14 91 0.8× 52 0.5× 131 1.4× 127 1.5× 62 1.2× 32 440
Shengping Zhong China 9 111 0.9× 94 0.9× 115 1.2× 130 1.5× 19 0.4× 63 318
Chunlin Wang China 15 240 2.1× 186 1.7× 145 1.5× 138 1.6× 10 0.2× 42 523
Guizhong Wang China 10 140 1.2× 142 1.3× 104 1.1× 85 1.0× 15 0.3× 27 374
Danny Boyce Canada 12 234 2.0× 91 0.8× 198 2.1× 79 0.9× 9 0.2× 29 413

Countries citing papers authored by Engkong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Engkong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Engkong Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Engkong Tan. A scholar is included among the top collaborators of Engkong Tan 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 Engkong Tan. Engkong Tan 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.
Sakami, Tomoko, Tsuyoshi Watanabe, Yukiko Taniuchi, et al.. (2021). Metagenomic analysis provides functional insights into seasonal change of a non-cyanobacterial prokaryotic community in temperate coastal waters. PLoS ONE. 16(10). e0257862–e0257862. 4 indexed citations
2.
Tan, Engkong, Shigeharu Kinoshita, Takashi Yada, et al.. (2020). Determination of thermal tolerance in rainbow trout Oncorhynchus mykiss based on effective time, and its reproducibility for a large number of fish. Fisheries Science. 86(5). 767–774. 1 indexed citations
3.
4.
Koyama, Hiroki, Nanami Mizusawa, Engkong Tan, et al.. (2018). Changes in free amino acid concentrations and associated gene expression profiles in the abdominal muscle of kuruma shrimp Marsupenaeus japonicus acclimated at different salinities. Journal of Experimental Biology. 221(Pt 11). 17 indexed citations
5.
6.
Tan, Engkong, Naoki Mizuno, S. Hosoya, et al.. (2018). Transcriptomic analysis of immunoglobulin novel antigen receptor (IgNAR) heavy chain constant domains of brownbanded bamboo shark (Chiloscyllium punctatum). Fish & Shellfish Immunology. 84. 370–376. 12 indexed citations
7.
8.
Ikeda, Daisuke, Hiroki Koyama, Nanami Mizusawa, et al.. (2017). Global gene expression analysis of the muscle tissues of medaka acclimated to low and high environmental temperatures. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 24. 19–28. 12 indexed citations
9.
Tan, Engkong, Shigeharu Kinoshita, Shuichi Asakawa, et al.. (2017). Transcriptome analysis of tetrodotoxin sensing and tetrodotoxin action in the central nervous system of tiger puffer Takifugu rubripes juveniles. Fisheries Science. 83(3). 401–412. 2 indexed citations
10.
Tan, Engkong, Shigeharu Kinoshita, Yutaka Suzuki, et al.. (2015). Different gene expression profiles between normal and thermally selected strains of rainbow trout, Oncorhynchus mykiss, as revealed by comprehensive transcriptome analysis. Gene. 576(2). 637–643. 20 indexed citations
11.
Xi, Fu, Hong Zhang, Engkong Tan, Shugo Watabe, & Shuichi Asakawa. (2015). Characterization of the torafugu (Takifugu rubripes) immunoglobulin heavy chain gene locus. Immunogenetics. 67(3). 179–193. 10 indexed citations
12.
13.
Arulkanthan, A., Yuriko Igarashi, Engkong Tan, et al.. (2014). Characterization and antimicrobial susceptibility of motile aeromonads isolated from freshwater ornamental fish showing signs of septicaemia. Diseases of Aquatic Organisms. 109(2). 127–137. 65 indexed citations
14.
Zhang, Hong, Engkong Tan, Yutaka Suzuki, et al.. (2014). Dramatic improvement in genome assembly achieved using doubled-haploid genomes. Scientific Reports. 4(1). 6780–6780. 19 indexed citations
15.
Sato, Masaaki, Engkong Tan, Shuichi Asakawa, et al.. (2014). Fifteen novel microsatellite markers for two Amphiprion species (Amphiprion frenatus and Amphiprion perideraion) and cross-species amplification. Conservation Genetics Resources. 6(3). 685–688. 5 indexed citations
16.
Kobayashi, Shio, et al.. (2014). Transcriptional Responses of a Bicarbonate-Tolerant Monocot, Puccinellia tenuiflora, and a Related Bicarbonate-Sensitive Species, Poa annua, to NaHCO3 Stress. International Journal of Molecular Sciences. 16(1). 496–509. 20 indexed citations
17.
Dietzgen, Ralf G., et al.. (2012). Partial polymerase gene sequence, phylogeny and RT-PCR diagnostic assay for Datura yellow vein nucleorhabdovirus. Australasian Plant Disease Notes. 8(1). 21–25. 4 indexed citations
18.
Zhang, Hong, Yusuke Hirose, Shigeharu Kinoshita, et al.. (2012). Assessment of homozygosity levels in the mito-gynogenetic torafugu (Takifugu rubripes) by genome-wide SNP analyses. Aquaculture. 380-383. 114–119. 6 indexed citations
19.
Tan, Engkong, Shigeharu Kinoshita, Yutaka Suzuki, et al.. (2012). Global gene expression analysis of gill tissues from normal and thermally selected strains of rainbow trout. Fisheries Science. 78(5). 1041–1049. 21 indexed citations
20.
Tan, Engkong, et al.. (2002). Heterozygosities and allelic frequencies of a set of microsatellite markers used for genome-wide scans in a Chinese population. Journal of Human Genetics. 47(11). 623–631. 3 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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