Shunzo Kobayashi

2.8k citations
74 papers · 2.3k indexed · h-index 28

Shunzo Kobayashi

69 papers receiving 2.3k citations

Peers

Shunzo Kobayashi
Comparison fields: 5 of 109
  • Cancer Research 786
  • Oncology 1.2k
  • Genetics 716
  • Molecular Biology 1.1k
  • Pathology and Forensic Medicine 237
Replace F. Spyratos with:
F. Spyratos France
M. E. Lippman United States
Björn Erikstein Norway
Sten Wingren Sweden
Rui‐An Wang United States
David G. Cox United States
Ella Evron Israel
Steven McKinney Canada
Teijo Kuopio Finland
Rosemary L. Balleine Australia
Shunzo Kobayashi relative to F. Spyratos France F. Spyratos's profile →
Citations per field
00.5×2.7×
F. Spyratos · 1×
Citations per year

Countries citing papers authored by Shunzo Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Shunzo Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shunzo Kobayashi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shunzo Kobayashi Line = papers co-authored together Shunzo Kobayashi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201319
2 201040
3
Nuclear corepressor 1 expression predicts response to first-line endocrine therapy for breast cancer patients on relapse.
200910
4 200810
5 20062
6 200590
7 2003125
8
Hormone replacement therapy and breast cancer risk
20021
9 20021
10 20015
11 20012
12 20003
13 200058
14
Simultaneous quantitative analyses of c-erbB-2 protein, epidermal growth factor receptor, cathepsin D, and hormone receptors in breast cancer.
199711
15 199746
16
[Molecular analysis of the estrogen receptor (ER) gene in association with ER negativity in breast cancer].
19962
17 1996110
18 199333
19 199224
20 19620

About Shunzo Kobayashi

Shunzo Kobayashi is a scholar working on Cancer Research, Oncology and Genetics, having authored 74 papers that have together received 2.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (27 papers), HER2/EGFR in Cancer Research (21 papers), Breast Cancer Treatment Studies (18 papers), Cancer-related Molecular Pathways (6 papers), Breast Lesions and Carcinomas (6 papers), BRCA gene mutations in cancer (4 papers), Cancer Cells and Metastasis (4 papers) and Cancer Treatment and Pharmacology (4 papers). The work is most often cited by research in Cancer Research (786 citations), Oncology (1.2k citations) and Genetics (716 citations). Shunzo Kobayashi has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Hirotaka Iwase, Tatsuya Toyama, Hiroko Yamashita, Hiroshi Sugiura, Zhenhuan Zhang, Yukio Ando, Yoshitaka Fujii, Maho Hamaguchi, Hiroji Iwata and Mariko Nishio. Their work appears in journals such as Breast Cancer, Breast Cancer Research and Treatment, Breast Cancer Research, Surgery Today and Japanese Journal of Clinical Oncology.

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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