World's Best Scientists 2026 revealed!
Shinzaburo Noguchi

Shinzaburo Noguchi

D-Index & Metrics

Medicine

D-Index
89
Citations
29415
World Ranking
12680
National Ranking
371

Shinzaburo Noguchi publication distribution in Medicine in 2026

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

101–120 publications: 5 scientists 121–140 publications: 26 scientists 141–160 publications: 73 scientists 161–180 publications: 155 scientists 181–200 publications: 230 scientists 201–220 publications: 363 scientists 221–240 publications: 487 scientists 241–260 publications: 545 scientists 261–280 publications: 722 scientists 281–300 publications: 768 scientists 301–320 publications: 834 scientists 321–340 publications: 895 scientists 341–360 publications: 922 scientists 361–380 publications: 838 scientists 381–400 publications: 861 scientists 401–420 publications: 918 scientists 421–440 publications: 806 scientists 441–460 publications: 771 scientists 461–480 publications: 751 scientists 481–500 publications: 713 scientists 501–520 publications: 617 scientists 521–540 publications: 611 scientists 541–560 publications: 537 scientists 561–580 publications: 504 scientists 581–600 publications: 509 scientists 601–620 publications: 396 scientists 621–640 publications: 386 scientists 641–660 publications: 371 scientists 661–680 publications: 340 scientists 681–700 publications: 336 scientists 701–720 publications: 307 scientists 721–740 publications: 259 scientists 741–760 publications: 230 scientists 761–780 publications: 228 scientists 781–800 publications: 217 scientists 801–820 publications: 204 scientists 821–840 publications: 186 scientists 841–860 publications: 177 scientists 861–880 publications: 155 scientists 881–900 publications: 139 scientists 901–920 publications: 145 scientists 921–940 publications: 116 scientists 941–960 publications: 133 scientists 961–980 publications: 91 scientists 981–1,000 publications: 96 scientists 1,001–1,020 publications: 77 scientists 1,021–1,040 publications: 70 scientists 1,041–1,060 publications: 63 scientists 1,061–1,080 publications: 77 scientists 1,081–1,100 publications: 49 scientists 1,101–1,120 publications: 54 scientists 1,121–1,140 publications: 49 scientists 1,141–1,160 publications: 51 scientists 1,161–1,180 publications: 35 scientists 1,181–1,200 publications: 39 scientists 1,201–1,220 publications: 26 scientists 1,221–1,240 publications: 37 scientists 1,241–1,260 publications: 36 scientists 1,261–1,280 publications: 27 scientists 1,281–1,300 publications: 32 scientists 1,301–1,320 publications: 28 scientists 1,321–1,340 publications: 17 scientists 1,341–1,360 publications: 30 scientists 1,361–1,380 publications: 28 scientists 1,381–1,400 publications: 17 scientists 1,401–1,420 publications: 21 scientists 1,421–1,440 publications: 15 scientists 1,441–1,460 publications: 12 scientists 1,461–1,480 publications: 12 scientists 1,481–1,500 publications: 18 scientists 1,501–1,520 publications: 14 scientists 1,521–1,540 publications: 17 scientists 1,541–1,560 publications: 15 scientists 1,561–1,580 publications: 6 scientists 1,581–1,600 publications: 2 scientists 1,601–1,620 publications: 12 scientists 1,621–1,640 publications: 11 scientists 1,641–1,660 publications: 8 scientists 1,661–1,680 publications: 5 scientists 1,681–1,700 publications: 5 scientists 1,701–1,720 publications: 10 scientists 1,721–1,740 publications: 12 scientists 1,741–1,760 publications: 14 scientists 1,761–1,780 publications: 6 scientists 1,781–1,795 publications: 5 scientists 1,796+ publications: 100 scientists
101 publications 1,796+

This scientist: 521 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,796 publications or more.

Shinzaburo Noguchi D-index placement in Medicine in 2026

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

70–71 D-Index: 226 scientists 72–73 D-Index: 391 scientists 74–75 D-Index: 574 scientists 76–77 D-Index: 730 scientists 78–79 D-Index: 891 scientists 80–81 D-Index: 972 scientists 82–83 D-Index: 1,027 scientists 84–85 D-Index: 1,003 scientists 86–87 D-Index: 960 scientists 88–89 D-Index: 970 scientists 90–91 D-Index: 922 scientists 92–93 D-Index: 839 scientists 94–95 D-Index: 808 scientists 96–97 D-Index: 779 scientists 98–99 D-Index: 668 scientists 100–101 D-Index: 611 scientists 102–103 D-Index: 630 scientists 104–105 D-Index: 513 scientists 106–107 D-Index: 541 scientists 108–109 D-Index: 445 scientists 110–111 D-Index: 429 scientists 112–113 D-Index: 400 scientists 114–115 D-Index: 393 scientists 116–117 D-Index: 318 scientists 118–119 D-Index: 302 scientists 120–121 D-Index: 287 scientists 122–123 D-Index: 255 scientists 124–125 D-Index: 256 scientists 126–127 D-Index: 252 scientists 128–129 D-Index: 230 scientists 130–131 D-Index: 179 scientists 132–133 D-Index: 168 scientists 134–135 D-Index: 163 scientists 136–137 D-Index: 159 scientists 138–139 D-Index: 134 scientists 140–141 D-Index: 134 scientists 142–143 D-Index: 118 scientists 144–145 D-Index: 109 scientists 146–147 D-Index: 106 scientists 148–149 D-Index: 74 scientists 150–151 D-Index: 79 scientists 152–153 D-Index: 80 scientists 154–155 D-Index: 87 scientists 156–157 D-Index: 57 scientists 158–159 D-Index: 74 scientists 160–161 D-Index: 69 scientists 162–163 D-Index: 60 scientists 164–165 D-Index: 53 scientists 166–167 D-Index: 39 scientists 168–169 D-Index: 42 scientists 170–171 D-Index: 32 scientists 172–173 D-Index: 39 scientists 174–175 D-Index: 40 scientists 176–177 D-Index: 28 scientists 178–179 D-Index: 19 scientists 180–181 D-Index: 23 scientists 182–183 D-Index: 31 scientists 184–185 D-Index: 18 scientists 186–187 D-Index: 20 scientists 188–189 D-Index: 22 scientists 190–191 D-Index: 13 scientists 192–193 D-Index: 21 scientists 194–195 D-Index: 12 scientists 196–197 D-Index: 12 scientists 198–199 D-Index: 14 scientists 200–201 D-Index: 15 scientists 202–203 D-Index: 13 scientists 204–205 D-Index: 10 scientists 206–207 D-Index: 8 scientists 208–209 D-Index: 4 scientists 210–211 D-Index: 12 scientists 212–213 D-Index: 11 scientists 214–215 D-Index: 10 scientists 216 D-Index: 4 scientists 217+ D-Index: 98 scientists
70 D-Index 217+

This scientist: 89 D-Index — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 217 D-Index or more.

Overview

Shinzaburo Noguchi is affiliated with Osaka University in Japan and has contributed extensively to the fields of Medicine and Biochemistry, Genetics and Molecular Biology, with a particular focus on cancer research and oncology.

Their research centers primarily on breast cancer treatment studies, HER2/EGFR in cancer research, cancer genomics and diagnostics, gene expression and cancer classification, radiomics and machine learning in medical imaging, AI in cancer detection, and lung cancer treatments and mutations.

Frequent publication venues for their work include:

  • Translational Oncology
  • Annals of Surgical Oncology
  • Cancer
  • Breast Cancer
  • Advanced Science

Some recent papers authored or co-authored by Noguchi include:

  • Emerging Technologies for Real-Time Intraoperative Margin Assessment in Future Breast-Conserving Surgery, 2020, Advanced Science
  • Detection of ctDNA with Personalized Molecular Barcode NGS and Its Clinical Significance in Patients with Early Breast Cancer, 2020, Translational Oncology
  • Development of Prediction Model Including MicroRNA Expression for Sentinel Lymph Node Metastasis in ER-Positive and HER2-Negative Breast Cancer, 2020, Annals of Surgical Oncology
  • Determining homologous recombination deficiency scores with whole exome sequencing and their association with responses to neoadjuvant chemotherapy in breast cancer, 2020, Translational Oncology
  • A prediction model for early systemic recurrence in breast cancer using a molecular diagnostic analysis of sentinel lymph nodes: A large-scale, multicenter cohort study, 2022, Cancer

Frequent co-authors in their research include:

  • Kenzo Shimazu
  • Yasuto Naoi
  • Tomonori Tanei
  • Tomohiro Miyake
  • Naofumi Kagara

Key areas of subfield expertise demonstrated in their publications encompass:

  • Cancer Research
  • Oncology
  • Molecular Biology
  • Radiology, Nuclear Medicine and Imaging
  • Pulmonary and Respiratory Medicine

Their work spans several important topics within cancer research, such as:

  • Breast Cancer Treatment Studies
  • HER2/EGFR in Cancer Research
  • Cancer Genomics and Diagnostics
  • Gene expression and cancer classification
  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Lung Cancer Treatments and Mutations

Noguchi's research contributions have been published consistently in peer-reviewed journals and demonstrate a multidisciplinary approach involving molecular diagnostics, predictive modeling, and advanced imaging technologies focused on improving cancer diagnosis and therapeutic strategies.

Best Publications

  • Everolimus in Postmenopausal Hormone-Receptor–Positive Advanced Breast Cancer

    José Baselga;Mario Campone;Martine Piccart;Howard A. Burris

  • Induction of WT1 (Wilms' tumor gene)-specific cytotoxic T lymphocytes by WT1 peptide vaccine and the resultant cancer regression

    Yoshihiro Oka;Akihiro Tsuboi;Tetsuya Taguchi;Tadashi Osaki

  • Association of Breast Cancer Stem Cells Identified by Aldehyde Dehydrogenase 1 Expression with Resistance to Sequential Paclitaxel and Epirubicin-Based Chemotherapy for Breast Cancers

    Tomonori Tanei;Koji Morimoto;Kenzo Shimazu;Seung Jin Kim

  • Everolimus plus exemestane for hormone-receptor-positive, human epidermal growth factor receptor-2-negative advanced breast cancer: overall survival results from BOLERO-2

    M. Piccart;G. N. Hortobagyi;M. Campone;K. I. Pritchard

  • Association of Serum Adiponectin Levels with Breast Cancer Risk

    Yasuo Miyoshi;Tohru Funahashi;Shinji Kihara;Tetsuya Taguchi

  • One-step Nucleic Acid Amplification for Intraoperative Detection of Lymph Node Metastasis in Breast Cancer Patients

    Masahiko Tsujimoto;Kadzuki Nakabayashi;Katsuhide Yoshidome;Tomoyo Kaneko

  • Everolimus Plus Exemestane in Postmenopausal Patients with HR+ Breast Cancer: BOLERO-2 Final Progression-Free Survival Analysis

    Denise A. Yardley;Shinzaburo Noguchi;Kathleen I. Pritchard;Howard A. Burris

  • Fulvestrant 500 mg versus anastrozole 1 mg for hormone receptor-positive advanced breast cancer (FALCON): an international, randomised, double-blind, phase 3 trial.

    John F.R. Robertson;Igor M. Bondarenko;Ekaterina Trishkina;Mikhail Dvorkin

  • Down-regulation of LATS1 and LATS2 mRNA expression by promoter hypermethylation and its association with biologically aggressive phenotype in human breast cancers.

    Yuri Takahashi;Yasuo Miyoshi;Chie Takahata;Natsumi Irahara

  • Association of centrosomal kinase STK15/BTAK mRNA expression with chromosomal instability in human breast cancers

    Yasuo Miyoshi;Kyoko Iwao;Chiyomi Egawa;Shinzaburo Noguchi

  • Prediction of Docetaxel Response in Human Breast Cancer by Gene Expression Profiling

    Kyoko Iwao-Koizumi;Ryo Matoba;Noriko Ueno;Seung Jin Kim

  • Endoscopic thyroid surgery through the axillo-bilateral-breast approach.

    Kenzo Shimazu;Eiichi Shiba;Yasuhiro Tamaki;Shuji Takiguchi

  • Stem cell marker aldehyde dehydrogenase 1-positive breast cancers are characterized by negative estrogen receptor, positive human epidermal growth factor receptor type 2, and high Ki67 expression.

    Koji Morimoto;Koji Morimoto;Seung Jin Kim;Tomonori Tanei;Kenzo Shimazu

  • Intraoperative sentinel lymph node examination by imprint cytology and frozen sectioning during breast surgery.

    K. Motomura;H. Inaji;Y. Komoike;T. Kasugai

  • High expression of Wilms' tumor suppressor gene predicts poor prognosis in breast cancer patients.

    Yasuo Miyoshi;Akiko Ando;Chiyomi Egawa;Tetsuya Taguchi

  • The detection of breast carcinoma micrometastases in axillary lymph nodes by means of reverse transcriptase‐polymerase chain reaction

    Shinzaburo Noguchi;Tomohiko Aihara;Shoji Nakamori;Kazuyoshi Motomura

  • Correlative Analysis of Genetic Alterations and Everolimus Benefit in Hormone Receptor–Positive, Human Epidermal Growth Factor Receptor 2–Negative Advanced Breast Cancer: Results From BOLERO-2

    Gabriel N. Hortobagyi;David Chen;Martine Piccart;Hope S. Rugo

  • Zinc and its transporter ZIP10 are involved in invasive behavior of breast cancer cells

    Naofumi Kagara;Natsumi Tanaka;Shinzaburo Noguchi;Toshio Hirano

  • Detection of breast cancer micrometastases in axillary lymph nodes by means of reverse transcriptase-polymerase chain reaction. Comparison between MUC1 mRNA and keratin 19 mRNA amplification.

    S Noguchi;T Aihara;K Motomura;H Inaji

  • Molecular detection of lymph node metastases in breast cancer patients: results of a multicenter trial using the one-step nucleic acid amplification assay.

    Yasuhiro Tamaki;Futoshi Akiyama;Takuji Iwase;Tomoyo Kaneko

Frequent Co-Authors

Gabriel N. Hortobagyi
Gabriel N. Hortobagyi The University of Texas MD Anderson Cancer Center
Morito Monden
Morito Monden Osaka University
Hitoshi Tsuda
Hitoshi Tsuda National Defense Medical College
Kathleen I. Pritchard
Kathleen I. Pritchard University of Toronto
Michael Gnant
Michael Gnant Medical University of Vienna
José Baselga
José Baselga Memorial Sloan Kettering Cancer Center
Hiroji Iwata
Hiroji Iwata Aichi Cancer Center
Masakazu Toi
Masakazu Toi Kyoto University
Mario Campone
Mario Campone Grenoble Alpes University
Hope S. Rugo
Hope S. Rugo University of California, San Francisco

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