Hiroki Kobayashi
- Oncology top 10%
- Cancer Cells and Metastasis 5
- Cancer Immunotherapy and Biomarkers 3
- Cancer Research top 10%
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- Epigenetics and DNA Methylation 3
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- Cancer, Stress, Anesthesia, and Immune Response 3
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- Neuropeptides and Animal Physiology 3
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- Meteorological Phenomena and Simulations 2
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- Climate variability and models 2
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- Shoulder and Clavicle Injuries 2
- Co-authors
- Atsushi EnomotoMasahide TakahashiDaniel L. WorthleySusan L. WoodsAlastair D. BurtNaoya AsaiYuki MiyaiTadashi Iida
- Cited by
- OncologyCancer ResearchImmunology
- Journals
- Scientific Reports (2 papers)Orthopaedic Journal of Sports Medicine (2 papers)Oncology Reports (1 paper)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Hiroki Kobayashi
25 papers receiving 721 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Oncology 336
- Cancer Research 160
- Immunology 150
- Molecular Biology 298
- Pulmonary and Respiratory Medicine 117
Countries citing papers authored by Hiroki Kobayashi
This map shows the geographic impact of Hiroki 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 Hiroki Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroki Kobayashi more than expected).
Fields of papers citing papers by Hiroki Kobayashi
This network shows the impact of papers produced by Hiroki 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 Hiroki Kobayashi. The network helps show where Hiroki Kobayashi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hiroki Kobayashi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Nociceptive neurons promote gastric tumour progression via a CGRP–RAMP1 axisbreakdown → | 2025 | 29 |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 23 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 34 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 26 | |
| 12 | 2021 | 3 | |
| 13 | 2021 | 30 | |
| 14 | 2021 | 1 | |
| 15 | 2020 | 23 | |
| 16 | Cancer-associated fibroblasts in gastrointestinal cancerbreakdown → | 2019 | 427 |
| 17 | 2019 | 44 | |
| 18 | 2019 | 3 | |
| 19 | 2018 | 17 | |
| 20 | 2017 | 17 |
About Hiroki Kobayashi
Hiroki Kobayashi is a scholar working on Complementary and Manual Therapy, Oncology and Behavioral Neuroscience, having authored 29 papers that have together received 724 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Neuropeptides and Animal Physiology (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Meteorological Phenomena and Simulations (2 papers), Climate variability and models (2 papers) and Shoulder and Clavicle Injuries (2 papers). The work is most often cited by research in Oncology (336 citations), Cancer Research (160 citations) and Immunology (150 citations). Hiroki Kobayashi has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Atsushi Enomoto, Masahide Takahashi, Daniel L. Worthley, Susan L. Woods, Alastair D. Burt, Naoya Asai, Yuki Miyai, Tadashi Iida, Akitoshi Hara and Hideharu Hibi. Their work appears in journals such as Scientific Reports, Orthopaedic Journal of Sports Medicine, Oncology Reports, Frontiers in Cell and Developmental Biology and Cell Reports Medicine.
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.