Tomoyo Takami

1.4k total citations · 1 hit paper
6 papers, 596 citations indexed

About

Tomoyo Takami is a scholar working on Molecular Biology, Spectroscopy and Ecology. According to data from OpenAlex, Tomoyo Takami has authored 6 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Spectroscopy and 1 paper in Ecology. Recurrent topics in Tomoyo Takami's work include Advanced Proteomics Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Genomics and Phylogenetic Studies (2 papers). Tomoyo Takami is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Genomics and Phylogenetic Studies (2 papers). Tomoyo Takami collaborates with scholars based in Japan. Tomoyo Takami's co-authors include Masaki Matsumoto, Akiyasu C. Yoshizawa, Daiki Kobayashi, Susumu Goto, Shujiro Okuda, Norie Araki, Naoyuki Sugiyama, Yu Watanabe, Yuki Moriya and Yasushi Ishihama and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and Journal of Proteome Research.

In The Last Decade

Tomoyo Takami

5 papers receiving 594 citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

jPOSTrepo: an international standard data repository for proteomes

2016 479 citations Shujiro Okuda, Yu Watanabe et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tomoyo Takami Japan	4	427	143	59	55	47	6	596
Eva C. Keilhauer Germany	8	499 1.2×	106 0.7×	28 0.5×	63 1.1×	44 0.9×	9	623
Tamara Kanashova Germany	9	333 0.8×	122 0.9×	27 0.5×	43 0.8×	63 1.3×	10	511
Peter Bandilla Germany	5	495 1.2×	279 2.0×	47 0.8×	126 2.3×	28 0.6×	7	668
Miroslav Nikolov Germany	14	921 2.2×	114 0.8×	33 0.6×	80 1.5×	71 1.5×	19	1.1k
Dmitry S. Karpov Russia	14	495 1.2×	101 0.7×	35 0.6×	63 1.1×	31 0.7×	75	645
Bettina Mayer Germany	14	285 0.7×	61 0.4×	39 0.7×	43 0.8×	97 2.1×	20	513
Alejandro Carpy Germany	11	443 1.0×	73 0.5×	24 0.4×	130 2.4×	68 1.4×	15	573
Kazuhisa Ota Japan	14	657 1.5×	75 0.5×	49 0.8×	157 2.9×	79 1.7×	21	805
Krishna Parsawar United States	9	524 1.2×	36 0.3×	41 0.7×	61 1.1×	48 1.0×	19	753
Ziyou Cui United States	17	551 1.3×	86 0.6×	22 0.4×	76 1.4×	135 2.9×	26	782

Countries citing papers authored by Tomoyo Takami

Since Specialization

Citations

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

Fields of papers citing papers by Tomoyo Takami

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoyo Takami

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoyo Takami. A scholar is included among the top collaborators of Tomoyo Takami 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 Tomoyo Takami. Tomoyo Takami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Kobayashi, Daiki, Tomoyo Takami, & Masaki Matsumoto. (2025). Data-Independent Acquisition (DIA)-Based Label-Free Redox Proteomics (DIALRP) Identifies Prominent Cysteine Oxidations in Translation Machinery in Prostate Cancer Cells Under Oxidative Stress. Journal of Proteome Research. 24(9). 4597–4610.

2.

Okuda, Shujiro, Akiyasu C. Yoshizawa, Daiki Kobayashi, et al.. (2024). jPOST environment accelerates the reuse and reanalysis of public proteome mass spectrometry data. Nucleic Acids Research. 53(D1). D462–D467. 15 indexed citations

3.

Hatano, Atsushi, Tomoyo Takami, & Masaki Matsumoto. (2022). In situ digestion of alcohol-fixed cells for quantitative proteomics. The Journal of Biochemistry. 173(4). 243–254. 3 indexed citations

4.

Matsumoto, Masaki, Atsushi Hatano, Tomoyo Takami, et al.. (2020). Cell cycle–dependent localization of the proteasome to chromatin. Scientific Reports. 10(1). 5801–5801. 23 indexed citations

5.

Moriya, Yuki, Shin Kawano, Shujiro Okuda, et al.. (2018). The jPOST environment: an integrated proteomics data repository and database. Nucleic Acids Research. 47(D1). D1218–D1224. 76 indexed citations

6.

Okuda, Shujiro, Yu Watanabe, Yuki Moriya, et al.. (2016). jPOSTrepo: an international standard data repository for proteomes. Nucleic Acids Research. 45(D1). D1107–D1111. 479 indexed citations breakdown →

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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