Daiki Kobayashi

2.4k total citations · 1 hit paper
129 papers, 1.6k citations indexed

About

Daiki Kobayashi is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Daiki Kobayashi has authored 129 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 20 papers in Surgery and 16 papers in Molecular Biology. Recurrent topics in Daiki Kobayashi's work include Sleep and related disorders (8 papers), COVID-19 and Mental Health (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). Daiki Kobayashi is often cited by papers focused on Sleep and related disorders (8 papers), COVID-19 and Mental Health (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). Daiki Kobayashi collaborates with scholars based in Japan, United States and Switzerland. Daiki Kobayashi's co-authors include Osamu Takahashi, Tsuguya Fukui, Takuro Shimbo, Gautam A. Deshpande, Takahiro Matsuo, Hiroko Arioka, Fumika Taki, Fumie Sakamoto, Nobuyoshi Mori and Yuki Uehara and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daiki Kobayashi

120 papers receiving 1.6k citations

Hit Papers

Prevalence of Health Care Worker Burnout During the Coron... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers

Daiki Kobayashi
Daiki Kobayashi
Citations per year, relative to Daiki Kobayashi Daiki Kobayashi (= 1×) peers Joey S.W. Kwong

Countries citing papers authored by Daiki Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Daiki Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiki Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Daiki Kobayashi. A scholar is included among the top collaborators of Daiki Kobayashi 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 Daiki Kobayashi. Daiki Kobayashi 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.
Kimoto, Natsumi, Takashi Asahara, Tatsuya Maeda, et al.. (2025). Bone-enhanced high contrast X-ray images derived from attenuation estimation related to ultra-low energy X-rays – An application of an energy-resolving photon-counting detector (ERPCD). Radiation Physics and Chemistry. 238. 113243–113243. 2 indexed citations
2.
Kobayashi, Daiki, et al.. (2025). Zebrafish hoxb7a mutants exhibit no apparent morphological abnormalities, despite being the only paralogous group 7. Gene Reports. 38. 102143–102143. 1 indexed citations
3.
Kobayashi, Daiki, Queenie Lai Kwan Lam, Shigeharu Fujita, et al.. (2025). A method for identifying neoantigens through isolation of circulating tumor cells using apheresis among patients with advanced-stage cancer. Frontiers in Immunology. 16. 1609116–1609116.
4.
Ito, Hiroshi, et al.. (2025). Lemborexant overdose: A case report. Journal of Acute Disease. 14(1). 2 indexed citations
6.
Kobayashi, Daiki, Natsumi Kimoto, Takashi Asahara, et al.. (2024). Optimization of energy windows to calculate quantitative X-ray images using an energy-resolving photon-counting detector: A simulation study. Radiation Physics and Chemistry. 229. 112460–112460. 3 indexed citations
7.
Ito, Hiroshi, et al.. (2023). The incidence and factors of inappropriate rapid antigen test usage for group A streptococcus. Journal of Infection and Chemotherapy. 29(10). 953–958. 2 indexed citations
8.
Kobayashi, Daiki, et al.. (2023). Clinical prediction rule for bacterial arthritis: Chi-squared automatic interaction detector decision tree analysis model. SAGE Open Medicine. 11. 3922011778–3922011778. 2 indexed citations
9.
Nishizaki, Yuji, Shuko Nojiri, Takahiro Matsuo, et al.. (2022). Association between physiotherapist burnout and working environment during the coronavirus disease 2019 pandemic in Japan: A multicenter observational study. PLoS ONE. 17(9). e0275415–e0275415. 4 indexed citations
10.
Okamoto, Y., et al.. (2022). Comparative Study of Transcriptome in the Hearts Isolated from Mice, Rats, and Humans. Biomolecules. 12(6). 859–859. 3 indexed citations
11.
Kuriyama, Nagato, Etsuko Ozaki, Teruhide Koyama, et al.. (2020). Evaluation of myostatin as a possible regulator and marker of skeletal muscle–cortical bone interaction in adults. Journal of Bone and Mineral Metabolism. 39(3). 404–415. 10 indexed citations
12.
Matsusako, Masaki, Taiki Nozaki, Daiki Kobayashi, et al.. (2020). Incidental mediastinal masses detected at low-dose CT screening: prevalence and radiological characteristics. Japanese Journal of Radiology. 38(12). 1150–1157. 7 indexed citations
13.
Kobayashi, Daiki, Michael B. First, Takuro Shimbo, Shigenobu Kanba, & Yoji Hirano. (2020). Association of self‐reported religiosity with the development of major depression in multireligious country Japan. Psychiatry and Clinical Neurosciences. 74(10). 535–541. 12 indexed citations
14.
Bianchini, Giampaolo, Michiko Ando, Daiki Kobayashi, et al.. (2019). Predictive and prognostic value of stromal tumour-infiltrating lymphocytes before and after neoadjuvant therapy in triple negative and HER2-positive breast cancer. European Journal of Cancer. 118. 41–48. 59 indexed citations
15.
Kobayashi, Daiki, Hiroshi Noto, Osamu Takahashi, & Takuro Shimbo. (2019). Glycemic variability and subsequent malignancies among the population without diabetes. Diabetes Research and Clinical Practice. 159. 107987–107987. 8 indexed citations
16.
Kobayashi, Daiki, Hironori Kuga, Nagato Kuriyama, et al.. (2019). Alcohol consumption behaviours in the immediate aftermath of earthquakes: time series study. BMJ Open. 9(3). e026268–e026268. 3 indexed citations
17.
Kobayashi, Daiki, Rei Goto, & Yusuke Tsugawa. (2019). Impact of improved price transparency on patients' demand of healthcare services. Social Science & Medicine. 235. 112390–112390. 9 indexed citations
18.
Komai, Toshihiko, Fumio Omata, Yasutoshi Shiratori, Daiki Kobayashi, & Hiroko Arioka. (2018). Risk Factors for Acute Hemorrhagic Rectal Ulcer Syndrome and Its Prognosis: A Density Case-Control Study. Gastroenterology Research and Practice. 2018. 1–6. 8 indexed citations
19.
Ishii, Takayuki, et al.. (2015). 2A1-C06 Thrust characteristics of the oscillating fin propulsors in a side-by-side arrangement. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2015(0). _2A1–C06_1. 1 indexed citations
20.
Kobayashi, Daiki, et al.. (2009). Effects of inhalation of Akita Sugi (Cryptomeria japonica) wood oil on psychological and physiological responses.. 10(2). 162–169. 5 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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