Jun Mashima

2.0k total citations
24 papers, 625 citations indexed

About

Jun Mashima is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Jun Mashima has authored 24 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 4 papers in Ecology and 4 papers in Genetics. Recurrent topics in Jun Mashima's work include Genomics and Phylogenetic Studies (15 papers), Gene expression and cancer classification (9 papers) and Muscle Physiology and Disorders (4 papers). Jun Mashima is often cited by papers focused on Genomics and Phylogenetic Studies (15 papers), Gene expression and cancer classification (9 papers) and Muscle Physiology and Disorders (4 papers). Jun Mashima collaborates with scholars based in Japan, United Kingdom and United States. Jun Mashima's co-authors include Yuichi Kodama, Osamu Ogasawara, Yasukazu Nakamura, Takehide Kosuge, Kousaku Okubo, Eli Kaminuma, Takatomo Fujisawa, Toshihisa Takagi, Takashi Gojobori and Toshiaki Katayama and has published in prestigious journals such as Nucleic Acids Research, Biochemical and Biophysical Research Communications and DNA Research.

In The Last Decade

Jun Mashima

24 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Mashima Japan 17 468 123 72 60 57 24 625
Nicholas Stoler United States 8 499 1.1× 73 0.6× 139 1.9× 68 1.1× 65 1.1× 11 695
Robert Davey United Kingdom 12 306 0.7× 83 0.7× 88 1.2× 33 0.6× 206 3.6× 26 580
Jonathan A. Kans United States 8 811 1.7× 74 0.6× 116 1.6× 21 0.3× 104 1.8× 11 962
Abdoulaye Baniré Diallo Canada 14 317 0.7× 48 0.4× 85 1.2× 66 1.1× 175 3.1× 56 671
Kuo-Bin Li Singapore 13 801 1.7× 49 0.4× 78 1.1× 185 3.1× 84 1.5× 18 1.0k
William Baker United States 4 614 1.3× 116 0.9× 87 1.2× 12 0.2× 87 1.5× 11 826
Mahesh Vangala United States 5 207 0.4× 60 0.5× 39 0.5× 29 0.5× 20 0.4× 7 358
Yuichi Kodama Japan 18 1.0k 2.2× 208 1.7× 150 2.1× 163 2.7× 193 3.4× 25 1.3k
Robert Bjornson United States 16 1000 2.1× 137 1.1× 250 3.5× 152 2.5× 114 2.0× 23 1.4k
Deepak Unni United States 11 357 0.8× 42 0.3× 326 4.5× 54 0.9× 78 1.4× 15 751

Countries citing papers authored by Jun Mashima

Since Specialization
Citations

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

Fields of papers citing papers by Jun Mashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Mashima

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Mashima. A scholar is included among the top collaborators of Jun Mashima 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 Jun Mashima. Jun Mashima 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.
Ara, Takeshi, Yuichi Kodama, Toshiaki Tokimatsu, et al.. (2023). DDBJ update in 2023: the MetaboBank for metabolomics data and associated metadata. Nucleic Acids Research. 52(D1). D67–D71. 9 indexed citations
2.
Tanizawa, Yasuhiro, Takatomo Fujisawa, Yuichi Kodama, et al.. (2022). DNA Data Bank of Japan (DDBJ) update report 2022. Nucleic Acids Research. 51(D1). D101–D105. 19 indexed citations
3.
Okido, Toshihisa, Yuichi Kodama, Jun Mashima, et al.. (2021). DNA Data Bank of Japan (DDBJ) update report 2021. Nucleic Acids Research. 50(D1). D102–D105. 22 indexed citations
4.
Kodama, Yuichi, et al.. (2020). DDBJ update: streamlining submission and access of human data. Nucleic Acids Research. 49(D1). D71–D75. 38 indexed citations
5.
Kodama, Yuichi, Jun Mashima, Takehide Kosuge, et al.. (2017). DNA Data Bank of Japan: 30th anniversary. Nucleic Acids Research. 46(D1). D30–D35. 31 indexed citations
6.
Mashima, Jun, Yuichi Kodama, Takatomo Fujisawa, et al.. (2016). DNA Data Bank of Japan. Nucleic Acids Research. 45(D1). D25–D31. 55 indexed citations
7.
Mashima, Jun, Yuichi Kodama, Takehide Kosuge, et al.. (2015). DNA data bank of Japan (DDBJ) progress report. Nucleic Acids Research. 44(D1). D51–D57. 57 indexed citations
8.
Kodama, Yuichi, Jun Mashima, Takehide Kosuge, et al.. (2014). The DDBJ Japanese Genotype-phenotype Archive for genetic and phenotypic human data. Nucleic Acids Research. 43(D1). D18–D22. 47 indexed citations
9.
Federhen, Scott, Karen Clark, Tanya Barrett, et al.. (2014). Toward richer metadata for microbial sequences: replacing strain-level NCBI taxonomy taxids with BioProject, BioSample and Assembly records. Standards in Genomic Sciences. 9(3). 1275–1277. 31 indexed citations
10.
Kosuge, Takehide, Jun Mashima, Yuichi Kodama, et al.. (2013). DDBJ progress report: a new submission system for leading to a correct annotation. Nucleic Acids Research. 42(D1). D44–D49. 29 indexed citations
11.
Ogasawara, Osamu, Jun Mashima, Yuichi Kodama, et al.. (2012). DDBJ new system and service refactoring. Nucleic Acids Research. 41(D1). D25–D29. 24 indexed citations
12.
Kodama, Yuichi, Jun Mashima, Eli Kaminuma, et al.. (2011). The DNA Data Bank of Japan launches a new resource, the DDBJ Omics Archive of functional genomics experiments. Nucleic Acids Research. 40(D1). D38–D42. 32 indexed citations
13.
Kaminuma, Eli, Takehide Kosuge, Yuichi Kodama, et al.. (2010). DDBJ progress report. Nucleic Acids Research. 39(Database). D22–D27. 31 indexed citations
14.
Kaminuma, Eli, Jun Mashima, Yuichi Kodama, et al.. (2009). DDBJ launches a new archive database with analytical tools for next-generation sequence data. Nucleic Acids Research. 38(suppl_1). D33–D38. 67 indexed citations
15.
Kosuge, Takehide, Takashi Abe, Toshihisa Okido, et al.. (2006). Exploration and Grading of Possible Genes from 183 Bacterial Strains by a Common Protocol to Identification of New Genes: Gene Trek in Prokaryote Space (GTPS). DNA Research. 13(6). 245–254. 16 indexed citations
16.
Cochrane, Guy, Rolf Apweiler, Yoshio Tateno, et al.. (2006). Evidence Standards in Experimental and Inferential INSDC Third Party Annotation Data. OMICS A Journal of Integrative Biology. 10(2). 105–113. 22 indexed citations
17.
Mashima, Jun, Masami Nagahama, Kiyotaka Hatsuzawa, et al.. (2000). N-Ethylmaleimide-Sensitive Factor Is Associated with the Nuclear Envelope. Biochemical and Biophysical Research Communications. 274(2). 559–564. 3 indexed citations
18.
Nakada, Kazuto, et al.. (1998). Skeletal muscle regeneration induced by chorio-allantoic grafting. Journal of Muscle Research and Cell Motility. 19(2). 169–177. 10 indexed citations
19.
Nakada, Kazuto, Jun Mashima, Yao Yao, Jun‐ichi Miyazaki, & Tamio Hirabayashi. (1998). Developmental Stage-Dependent Expression of Troponin T Isoforms in Chicken Embryonic Breast Muscles Grafted on Chorio-Allantoic Membrane. ZOOLOGICAL SCIENCE. 15(5). 729–736. 7 indexed citations
20.
Mashima, Jun, Kazuto Nakada, Jun‐ichi Miyazaki, & Tamio Hirabayashi. (1997). Stability of Chicken Troponin T Expression in Cultured Muscle Cells. ZOOLOGICAL SCIENCE. 14(1). 109–114. 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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