World's Best Scientists 2026 revealed!
Takeshi Bamba

Takeshi Bamba

D-Index & Metrics

Chemistry

D-Index
60
Citations
11649
World Ranking
9788
National Ranking
694

Takeshi Bamba publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Takeshi Bamba sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 283 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Takeshi Bamba D-index placement in Chemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Chemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Takeshi Bamba sits on this spectrum.

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 60 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Overview

Takeshi Bamba is affiliated with Kyushu University in Japan and has contributed extensively to the fields of biochemistry, genetics, and molecular biology, with a significant focus on medicine. Their research spans over 169 publications in biochemistry, genetics, and molecular biology, as well as 108 publications in medicine.

The scientist's work covers numerous specialized subfields including molecular biology, spectroscopy, physiology, immunology, and cancer research. Notably, the highest concentration of publications lies in molecular biology (120), followed by spectroscopy (47), physiology (37), immunology (30), and cancer research (18).

Bamba's primary research topics include metabolomics and mass spectrometry studies, analytical chemistry and chromatography, and mass spectrometry techniques and applications. Other focused areas are microbial metabolic engineering and bioproduction, adipose tissue and metabolism, chromatography in natural products, and autophagy in disease and therapy.

Frequent coauthors associated with Bamba include:

  • Yoshihiro Izumi (116 collaborations)
  • Masatomo Takahashi (86 collaborations)
  • Kohta Nakatani (25 collaborations)
  • Kosuke Hata (15 collaborations)
  • Yoshihiro Ogawa (13 collaborations)

The scientist has published multiple papers in various notable venues. Frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory) with 13 papers
  • Journal of Chromatography A with 8 papers
  • Nature Communications with 7 papers
  • Analytical Chemistry with 6 papers
  • Metabolites with 5 papers

Selected recent papers by Takeshi Bamba include:

  • Eicosapentaenoic acid attenuates renal lipotoxicity by restoring autophagic flux, 2020, Autophagy
  • Lipidomic Analysis of Cells and Extracellular Vesicles from High- and Low-Metastatic Triple-Negative Breast Cancer, 2020, Metabolites
  • Current state and future perspectives of supercritical fluid chromatography, 2022, TrAC Trends in Analytical Chemistry
  • Helicobacter pylori metabolites exacerbate gastritis through C-type lectin receptors, 2020, The Journal of Experimental Medicine
  • Glioma cells require one-carbon metabolism to survive glutamine starvation, 2021, Acta Neuropathologica Communications

Best Publications

  • Harmonizing lipidomics: NIST interlaboratory comparison exercise for lipidomics using SRM 1950-Metabolites in Frozen Human Plasma.

    John A. Bowden;Alan Heckert;Candice Z. Ulmer;Christina M. Jones

  • Time-course metabolic profiling in Arabidopsis thaliana cell cultures after salt stress treatment

    Jae Kwang Kim;Takeshi Bamba;Kazuo Harada;Eiichiro Fukusaki

  • A shift in glutamine nitrogen metabolism contributes to the malignant progression of cancer

    Manabu Kodama;Kiyotaka Oshikawa;Hideyuki Shimizu;Susumu Yoshioka

  • GC/MS based metabolomics: development of a data mining system for metabolite identification by using soft independent modeling of class analogy (SIMCA)

    Hiroshi Tsugawa;Yuki Tsujimoto;Masanori Arita;Takeshi Bamba

  • A metabolomic approach to lung cancer

    Suya Hori;Shin Nishiumi;Kazuyuki Kobayashi;Masakazu Shinohara

  • Prediction of Japanese Green Tea Ranking by Gas Chromatography/Mass Spectrometry-Based Hydrophilic Metabolite Fingerprinting

    Wipawee Pongsuwan;Eiichiro Fukusaki;Takeshi Bamba;Tsutomu Yonetani

  • Development of a method for comprehensive and quantitative analysis of plant hormones by highly sensitive nanoflow liquid chromatography-electrospray ionization-ion trap mass spectrometry.

    Yoshihiro Izumi;Atsushi Okazawa;Takeshi Bamba;Akio Kobayashi

  • Serum metabolomics as a novel diagnostic approach for gastrointestinal cancer.

    Atsuki Ikeda;Shin Nishiumi;Masakazu Shinohara;Tomoo Yoshie

  • Intracellular metabolite β-glucosylceramide is an endogenous Mincle ligand possessing immunostimulatory activity.

    Masahiro Nagata;Yoshihiro Izumi;Eri Ishikawa;Ryoko Kiyotake

  • Adiponectin/T-cadherin system enhances exosome biogenesis and decreases cellular ceramides by exosomal release

    Yoshinari Obata;Shunbun Kita;Yoshihisa Koyama;Shiro Fukuda

  • Development of a lipid profiling system using reverse-phase liquid chromatography coupled to high-resolution mass spectrometry with rapid polarity switching and an automated lipid identification software

    Takayuki Yamada;Takato Uchikata;Shigeru Sakamoto;Yasuto Yokoi

  • High-throughput technique for comprehensive analysis of Japanese green tea quality assessment using ultra-performance liquid chromatography with time-of-flight mass spectrometry (UPLC/TOF MS).

    Wipawee Pongsuwan;Takeshi Bamba;Kazuo Harada;Tsutomu Yonetani

  • High throughput and exhaustive analysis of diverse lipids by using supercritical fluid chromatography-mass spectrometry for metabolomics

    Takeshi Bamba;Naruto Shimonishi;Atsuki Matsubara;Kazumasa Hirata

  • Simultaneous analysis for water- and fat-soluble vitamins by a novel single chromatography technique unifying supercritical fluid chromatography and liquid chromatography.

    Kaori Taguchi;Eiichiro Fukusaki;Takeshi Bamba

  • Metabolic profiling of lipids by supercritical fluid chromatography/mass spectrometry

    Takeshi Bamba;Jae Won Lee;Atsuki Matsubara;Eiichiro Fukusaki

  • Practical non-targeted gas chromatography/mass spectrometry-based metabolomics platform for metabolic phenotype analysis

    Hiroshi Tsugawa;Takeshi Bamba;Masakazu Shinohara;Shin Nishiumi

  • Widely-targeted quantitative lipidomics method by supercritical fluid chromatography triple quadrupole mass spectrometry

    Hiroaki Takeda;Yoshihiro Izumi;Masatomo Takahashi;Thanai Paxton

  • MRMPROBS: a data assessment and metabolite identification tool for large-scale multiple reaction monitoring based widely targeted metabolomics

    Hiroshi Tsugawa;Masanori Arita;Mitsuhiro Kanazawa;Atsushi Ogiwara

  • Selection of discriminant markers for authentication of Asian palm civet coffee (Kopi Luwak): a metabolomics approach.

    Udi Jumhawan;Sastia Prama Putri;Yusianto;Erly Marwani

  • Prediction of Periodontal Inflammation via Metabolic Profiling of Saliva

    M. Kuboniwa;M. Kuboniwa;A. Sakanaka;E. Hashino;T. Bamba;T. Bamba

  • GC-MS-based metabolomics reveals mechanism of action for hydrazine induced hepatotoxicity in rats

    Kiyoko Bando;Takeshi Kunimatsu;Jun Sakai;Juki Kimura

  • Drosophila sirt2/mammalian SIRT3 deacetylates ATP synthase β and regulates complex V activity

    Motiur Rahman;Niraj K. Nirala;Alka Singh;Lihua Julie Zhu

Frequent Co-Authors

Eiichiro Fukusaki
Eiichiro Fukusaki Osaka University
Tatsuki Kitayama
Tatsuki Kitayama Osaka University
Satoshi Harashima
Satoshi Harashima Sojo University
Takeshi Azuma
Takeshi Azuma Kobe University
Kunio Nagashima
Kunio Nagashima National Institutes of Health
Gert Desmet
Gert Desmet Vrije Universiteit Brussel
Gino V. Baron
Gino V. Baron Vrije Universiteit Brussel
Sho Yamasaki
Sho Yamasaki Osaka University
Fumio Matsuda
Fumio Matsuda Osaka University

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