Daibo Kojima

456 total citations
40 papers, 364 citations indexed

About

Daibo Kojima is a scholar working on Oncology, Surgery and Immunology. According to data from OpenAlex, Daibo Kojima has authored 40 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 14 papers in Surgery and 8 papers in Immunology. Recurrent topics in Daibo Kojima's work include Colorectal Cancer Treatments and Studies (11 papers), Cancer Treatment and Pharmacology (8 papers) and Colorectal Cancer Surgical Treatments (7 papers). Daibo Kojima is often cited by papers focused on Colorectal Cancer Treatments and Studies (11 papers), Cancer Treatment and Pharmacology (8 papers) and Colorectal Cancer Surgical Treatments (7 papers). Daibo Kojima collaborates with scholars based in Japan, United States and United Kingdom. Daibo Kojima's co-authors include Toshiyuki Mera, Shohta Kodama, Hitomi Nishinakamura, Yoichiro Yoshida, Naoya Aisu, Yohichi Yasunami, Yuichi Yamashita, Kaori Koga, Takeshi Itoh and Yaopeng Hu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daibo Kojima

38 papers receiving 358 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daibo Kojima Japan 12 126 122 69 47 42 40 364
Liena Zhao Canada 9 76 0.6× 168 1.4× 29 0.4× 126 2.7× 80 1.9× 14 575
Shanglei Liu United States 10 135 1.1× 131 1.1× 16 0.2× 90 1.9× 76 1.8× 28 378
Naoyuki Chisato Japan 9 117 0.9× 149 1.2× 117 1.7× 41 0.9× 42 1.0× 23 406
Munenori Nagao Japan 13 66 0.5× 179 1.5× 75 1.1× 57 1.2× 63 1.5× 51 434
Zuo-Liang Xiao United States 15 100 0.8× 225 1.8× 29 0.4× 112 2.4× 125 3.0× 25 518
Natascha Pigat France 11 44 0.3× 28 0.2× 32 0.5× 116 2.5× 56 1.3× 14 313
Armin Sokolowski Austria 10 70 0.6× 124 1.0× 23 0.3× 236 5.0× 63 1.5× 13 469
Shinjiro Kodama Japan 10 23 0.2× 174 1.4× 64 0.9× 201 4.3× 19 0.5× 22 529
Koichi Nagai Japan 10 38 0.3× 86 0.7× 24 0.3× 92 2.0× 45 1.1× 32 449

Countries citing papers authored by Daibo Kojima

Since Specialization
Citations

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

Fields of papers citing papers by Daibo Kojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daibo Kojima

This figure shows the co-authorship network connecting the top 25 collaborators of Daibo Kojima. A scholar is included among the top collaborators of Daibo Kojima 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 Daibo Kojima. Daibo Kojima 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.
Wada, Hideo, et al.. (2025). The Current Status of T Cell Receptor (TCR) Repertoire Analysis in Colorectal Cancer. International Journal of Molecular Sciences. 26(6). 2698–2698. 1 indexed citations
2.
Zhao, Feiyan, Keizo Hiraishi, Yaopeng Hu, et al.. (2024). Long-Term Tracking of the Effects of Colostrum-Derived Lacticaseibacillus rhamnosus Probio-M9 on Gut Microbiota in Mice with Colitis-Associated Tumorigenesis. Biomedicines. 12(3). 531–531. 3 indexed citations
3.
Takahashi, Hiroyuki, Daibo Kojima, Hideo Wada, et al.. (2024). A Bridge to Curative Surgery for Obstructive Colorectal Cancer: Self-expandable Metallic StentVersusDecompression Tube. Anticancer Research. 44(8). 3427–3441. 1 indexed citations
4.
Watanabe, T., et al.. (2023). Comparison of changes in health-related quality of life between elderly and non-elderly patients undergoing elective surgery for colorectal cancer. International Journal of Colorectal Disease. 38(1). 3 indexed citations
5.
6.
Nagano, Hideki, Naoya Aisu, Daibo Kojima, et al.. (2022). Comparison of oncological outcomes between low anterior resection and abdominoperineal resection for rectal cancer: A retrospective cohort study using a multicenter database in Japan. European Journal of Surgical Oncology. 48(12). 2467–2474. 2 indexed citations
7.
8.
Aisu, Naoya, et al.. (2019). Phase 2 study of perioperative chemotherapy with SOX and surgery for stage III colorectal cancer (SOS3 study). Scientific Reports. 9(1). 16568–16568. 2 indexed citations
9.
Yoshida, Yoichiro, et al.. (2018). Biweekly Administration of TAS-102 for Neutropenia Prevention in Patients with Colorectal Cancer. Anticancer Research. 38(7). 4367–4373. 12 indexed citations
10.
Yoshida, Yoichiro, Yasushi Yamauchi, Naoya Aisu, et al.. (2017). Hepatectomy for Liver Metastases of Colorectal Cancer After Adoptive Chemoimmunotherapy Using Activated αβ T-cells. Anticancer Research. 37(7). 3933–3939. 4 indexed citations
11.
Yoshida, Yoichiro, et al.. (2017). Difference in Neutropenia due to Administration Schedule of TAS-102. Case Reports in Oncology. 10(1). 226–229. 4 indexed citations
12.
Yoshida, Yoichiro, Teppei Yamada, Naoya Aisu, et al.. (2016). Adoptive Chemoimmunotherapy Using Activated αβ T Cells for Stage IV Colorectal Cancer.. PubMed. 36(7). 3741–6. 10 indexed citations
13.
Yoshida, Yoichiro, Teppei Yamada, Naoya Aisu, et al.. (2016). Clinical study on medical value of adoptive immunotherapy with chemotherapy for stage IV colorectal cancer (COMVI study).. Journal of Clinical Oncology. 34(4_suppl). 628–628. 2 indexed citations
14.
Yoshida, Yoichiro, Kenichiro Ogura, Akira Hiratsuka, et al.. (2015). Potential of the 5-fluorouracil dose-escalation method for dihydropyrimidine dehydrogenase-deficient patients. Annals of Oncology. 26. vii140–vii140. 2 indexed citations
15.
Kuwahara, Go, Hitomi Nishinakamura, Daibo Kojima, Tadashi Tashiro, & Shohta Kodama. (2014). GM-CSF Treated F4/80+ BMCs Improve Murine Hind Limb Ischemia Similar to M-CSF Differentiated Macrophages. PLoS ONE. 9(9). e106987–e106987. 10 indexed citations
16.
Yoshida, Yoichiro, Seiichiro Hoshino, Naoya Aisu, et al.. (2014). Can grade 2 neutropenia predict the risk of grade 3 neutropenia in metastatic colorectal cancer patients treated with chemotherapy?. Supportive Care in Cancer. 23(6). 1623–1627. 15 indexed citations
17.
Itoh, Takeshi, Hitomi Nishinakamura, Daibo Kojima, et al.. (2014). HMGB1-Mediated Early Loss of Transplanted Islets Is Prevented by Anti–IL-6R Antibody in Mice. Pancreas. 44(1). 166–171. 23 indexed citations
18.
Mera, Toshiyuki, Takeshi Itoh, Shunbun Kita, et al.. (2013). Pretreatment of Donor Islets With the Na+/Ca2+ Exchanger Inhibitor Improves the Efficiency of Islet Transplantation. American Journal of Transplantation. 13(8). 2154–2160. 13 indexed citations
19.
Kuwahara, Go, Hitomi Nishinakamura, Daibo Kojima, Tadashi Tashiro, & Shohta Kodama. (2012). Vascular endothelial growth factor-C derived from CD11b+ cells induces therapeutic improvements in a murine model of hind limb ischemia. Journal of Vascular Surgery. 57(4). 1090–1099. 20 indexed citations
20.
Umemoto, Yasunori, Kazunari Furusawa, Ken Kouda, et al.. (2011). Plasma IL-6 levels during arm exercise in persons with spinal cord injury. Spinal Cord. 49(12). 1182–1187. 23 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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