Yasushi Ishihama

30.9k total citations · 11 hit papers
253 papers, 21.5k citations indexed

About

Yasushi Ishihama is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Yasushi Ishihama has authored 253 papers receiving a total of 21.5k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Molecular Biology, 141 papers in Spectroscopy and 39 papers in Biomedical Engineering. Recurrent topics in Yasushi Ishihama's work include Advanced Proteomics Techniques and Applications (107 papers), Mass Spectrometry Techniques and Applications (74 papers) and Analytical Chemistry and Chromatography (39 papers). Yasushi Ishihama is often cited by papers focused on Advanced Proteomics Techniques and Applications (107 papers), Mass Spectrometry Techniques and Applications (74 papers) and Analytical Chemistry and Chromatography (39 papers). Yasushi Ishihama collaborates with scholars based in Japan, United States and Taiwan. Yasushi Ishihama's co-authors include Matthias Mann, Juri Rappsilber, Naoyuki Sugiyama, Masaru Tomita, Yoshiya Oda, Naoki Asakawa, Takeshi Masuda, Toshitaka Sato, Tsuyoshi Tabata and Takeshi Nagasu and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Yasushi Ishihama

242 papers receiving 21.3k citations

Hit Papers

Protocol for micro-purification, enrichment, pre-fraction... 2002 2026 2010 2018 2007 2002 2005 2009 2016 1000 2.0k 3.0k
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.

  1. Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips
    2007 3.2k citations Yasushi Ishihama et al. profile →
  2. Stop and Go Extraction Tips for Matrix-Assisted Laser Desorption/Ionization, Nanoelectrospray, and LC/MS Sample Pretreatment in Proteomics
    2002 2.0k citations Yasushi Ishihama et al. Analytical Chemistry profile →
  3. Exponentially Modified Protein Abundance Index (emPAI) for Estimation of Absolute Protein Amount in Proteomics by the Number of Sequenced Peptides per Protein
    2005 1.7k citations Yasushi Ishihama, Tsuyoshi Tabata et al. Molecular & Cellular Proteomics profile →
  4. Type 2C protein phosphatases directly regulate abscisic acid-activated protein kinases in Arabidopsis
    2009 858 citations Naoyuki Sugiyama, Yasushi Ishihama et al. profile →
  5. The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition
    2016 654 citations Eric W. Deutsch, Attila Csordás et al. Nucleic Acids Research profile →
  6. Proteome-wide Analysis of Chaperonin-Dependent Protein Folding in Escherichia coli
    2005 519 citations Yasushi Ishihama et al. profile →
  7. Analysis of the Plasmodium falciparum proteome by high-accuracy mass spectrometry
    2002 517 citations Yasushi Ishihama et al. Nature profile →
  8. Splicing factor SF3b as a target of the antitumor natural product pladienolide
    2007 500 citations Yasushi Ishihama et al. profile →
  9. jPOSTrepo: an international standard data repository for proteomes
    2016 479 citations Shujiro Okuda, Yu Watanabe et al. Nucleic Acids Research profile →
  10. PINK1-mediated phosphorylation of the Parkin ubiquitin-like domain primes mitochondrial translocation of Parkin and regulates mitophagy
    2012 461 citations Yasushi Ishihama et al. profile →
  11. Genetics and Phosphoproteomics Reveal a Protein Phosphorylation Network in the Abscisic Acid Signaling Pathway in Arabidopsis thaliana
    2013 330 citations Naoyuki Sugiyama, Yasushi Ishihama et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasushi Ishihama Japan 61 13.7k 6.2k 2.5k 2.4k 1.9k 253 21.5k
Denis F. Hochstrasser Switzerland 65 14.3k 1.0× 6.3k 1.0× 1.2k 0.5× 1.9k 0.8× 1.4k 0.7× 231 21.9k
Joshua J. Coon United States 73 13.6k 1.0× 10.3k 1.7× 2.4k 1.0× 1.2k 0.5× 1.2k 0.6× 359 22.0k
Peter Roepstorff Denmark 81 14.2k 1.0× 8.1k 1.3× 1.3k 0.5× 3.2k 1.3× 1.7k 0.9× 444 26.3k
Ole N. Jensen Denmark 86 19.3k 1.4× 9.9k 1.6× 968 0.4× 2.2k 0.9× 2.5k 1.3× 356 27.4k
Michael J. MacCoss United States 77 17.4k 1.3× 9.3k 1.5× 766 0.3× 1.7k 0.7× 1.9k 1.0× 288 25.0k
Bernhard Küster Germany 74 15.0k 1.1× 6.8k 1.1× 734 0.3× 1.1k 0.4× 1.4k 0.7× 280 20.2k
Nagarjuna Nagaraj Germany 30 11.9k 0.9× 4.5k 0.7× 606 0.2× 1.0k 0.4× 2.0k 1.0× 39 17.2k
Matthias Wilm Germany 73 26.1k 1.9× 7.5k 1.2× 1.4k 0.6× 2.1k 0.9× 5.4k 2.8× 124 36.5k
Jacek R. Wiśniewski Germany 51 12.4k 0.9× 5.2k 0.8× 585 0.2× 965 0.4× 1.5k 0.8× 174 18.2k
Pierre Thibault Canada 72 9.2k 0.7× 3.1k 0.5× 1.9k 0.8× 698 0.3× 1.1k 0.6× 335 15.9k

Countries citing papers authored by Yasushi Ishihama

Since Specialization
Citations

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

Fields of papers citing papers by Yasushi Ishihama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasushi Ishihama

This figure shows the co-authorship network connecting the top 25 collaborators of Yasushi Ishihama. A scholar is included among the top collaborators of Yasushi Ishihama 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 Yasushi Ishihama. Yasushi Ishihama 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.
Murase, Yusuke, Yukihiro Yabuta, Masahiro Nagano, et al.. (2024). In vitro reconstitution of epigenetic reprogramming in the human germ line. Nature. 631(8019). 170–178. 28 indexed citations
2.
Sawada, Shin‐ichi, et al.. (2024). A Direct Approach for Living Biomembrane Printing on a Nanoparticle. Nano Letters. 2 indexed citations
3.
Ogata, Kosuke, Ulises H. Guzmán, Yue Xuan, et al.. (2024). Extending the Coverage of Lys-C/Trypsin-Based Bottom-up Proteomics by Cysteine S-Aminoethylation. Journal of the American Society for Mass Spectrometry. 35(2). 386–396. 1 indexed citations
4.
Roske, Yvette, Bora Uyar, Altuna Akalin, et al.. (2024). Pathogenic mutations of human phosphorylation sites affect protein–protein interactions. Nature Communications. 15(1). 3146–3146. 9 indexed citations
5.
6.
Namiki, Jun, Sayuri Suzuki, Shinsuke Shibata, et al.. (2022). Chitinase-like protein 3: A novel niche factor for mouse neural stem cells. Stem Cell Reports. 17(12). 2704–2717. 3 indexed citations
7.
Ogata, Kosuke, et al.. (2022). Acetic Acid Ion Pairing Additive for Reversed-Phase HPLC Improves Detection Sensitivity in Bottom-up Proteomics Compared to Formic Acid. Journal of Proteome Research. 22(1). 272–278. 19 indexed citations
8.
Nishida, Hiroshi & Yasushi Ishihama. (2021). One-Step Isolation of Protein C-Terminal Peptides from V8 Protease-Digested Proteins by Metal Oxide-Based Ligand-Exchange Chromatography. Analytical Chemistry. 94(2). 944–951. 10 indexed citations
9.
Ishihama, Yasushi, et al.. (2021). Acylated peptide enrichment utilizing lysine deacylases for lysine acylomics. Biochemical and Biophysical Research Communications. 563. 60–65. 2 indexed citations
10.
Ogata, Kosuke & Yasushi Ishihama. (2021). CoolTip: Low-Temperature Solid-Phase Extraction Microcolumn for Capturing Hydrophilic Peptides and Phosphopeptides. Molecular & Cellular Proteomics. 20. 100170–100170. 13 indexed citations
11.
Ishihama, Yasushi, et al.. (2020). Quantitative nascent proteome profiling by dual-pulse labelling with O- propargyl-puromycin and stable isotope-labelled amino acids. The Journal of Biochemistry. 169(2). 227–236. 7 indexed citations
12.
Watanabe, Yu, Kiyoko F. Aoki‐Kinoshita, Yasushi Ishihama, & Shujiro Okuda. (2020). GlycoPOST realizes FAIR principles for glycomics mass spectrometry data. Nucleic Acids Research. 49(D1). D1523–D1528. 113 indexed citations
13.
Masuda, Takeshi, Naoyuki Sugiyama, Masaru Tomita, Sumio Ohtsuki, & Yasushi Ishihama. (2019). Mass Spectrometry-Compatible Subcellular Fractionation for Proteomics. Journal of Proteome Research. 19(1). 75–84. 21 indexed citations
14.
Iwasaki, Mio, et al.. (2019). Removal of Interference MS/MS Spectra for Accurate Quantification in Isobaric Tag-Based Proteomics. Journal of Proteome Research. 18(6). 2535–2544. 13 indexed citations
15.
Wagih, Omar, et al.. (2017). Identifications of Putative PKA Substrates with Quantitative Phosphoproteomics and Primary-Sequence-Based Scoring. Journal of Proteome Research. 16(4). 1825–1830. 18 indexed citations
16.
Shirakabe, Kyoko, et al.. (2017). Secretome analysis to elucidate metalloprotease‐dependent ectodomain shedding of glycoproteins during neuronal differentiation. Genes to Cells. 22(2). 237–244. 7 indexed citations
17.
Deutsch, Eric W., Attila Csordás, Zhi Sun, et al.. (2016). The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition. Nucleic Acids Research. 45(D1). D1100–D1106. 654 indexed citations breakdown →
18.
Sugiyama, Naoyuki & Yasushi Ishihama. (2016). Large-scale profiling of protein kinases for cellular signaling studies by mass spectrometry and other techniques. Journal of Pharmaceutical and Biomedical Analysis. 130. 264–272. 9 indexed citations
19.
Imami, Koshi, Naoyuki Sugiyama, Masaki Wakabayashi, et al.. (2012). Temporal Profiling of Lapatinib-suppressed Phosphorylation Signals in EGFR/HER2 Pathways. Molecular & Cellular Proteomics. 11(12). 1741–1757. 38 indexed citations
20.
Sugiyama, Naoyuki, Hirofumi Nakagami, Keiichi Mochida, et al.. (2008). Large‐scale phosphorylation mapping reveals the extent of tyrosine phosphorylation in Arabidopsis. Molecular Systems Biology. 4(1). 193–193. 314 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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