Kenji Gonda

1.1k total citations
70 papers, 847 citations indexed

About

Kenji Gonda is a scholar working on Oncology, Immunology and Cancer Research. According to data from OpenAlex, Kenji Gonda has authored 70 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Oncology, 28 papers in Immunology and 12 papers in Cancer Research. Recurrent topics in Kenji Gonda's work include Inflammatory Biomarkers in Disease Prognosis (18 papers), Immune cells in cancer (16 papers) and Inflammation biomarkers and pathways (10 papers). Kenji Gonda is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (18 papers), Immune cells in cancer (16 papers) and Inflammation biomarkers and pathways (10 papers). Kenji Gonda collaborates with scholars based in Japan, Nigeria and United States. Kenji Gonda's co-authors include Masahiko Shibata, Seiichi Takenoshita, Tatsuo Shimura, Hitoshi Ohto, Kenichi Sakurai, Izumi Nakamura, Shinji Ohki, Tohru Ohtake, Yoshihisa Koyama and Noriko Abe and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Kenji Gonda

62 papers receiving 826 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenji Gonda Japan 15 443 318 134 126 122 70 847
Morten Nørgaard Andersen Denmark 18 297 0.7× 460 1.4× 72 0.5× 335 2.7× 122 1.0× 38 1.0k
Meriem Messaoudene Canada 17 628 1.4× 593 1.9× 92 0.7× 410 3.3× 128 1.0× 36 1.2k
Ignacio Herrero Spain 13 326 0.7× 268 0.8× 290 2.2× 196 1.6× 120 1.0× 25 1.2k
Stefan M. Brunner Germany 20 275 0.6× 585 1.8× 268 2.0× 188 1.5× 97 0.8× 61 1.3k
Mehdi Karkouri Morocco 14 186 0.4× 129 0.4× 116 0.9× 135 1.1× 93 0.8× 114 649
Qing Wei China 14 247 0.6× 90 0.3× 206 1.5× 154 1.2× 83 0.7× 50 754
Marie Rimbert France 15 293 0.7× 772 2.4× 170 1.3× 148 1.2× 165 1.4× 32 1.1k
Thomas Packard United States 12 87 0.2× 262 0.8× 78 0.6× 164 1.3× 124 1.0× 18 643
Alan Silverman United States 9 149 0.3× 355 1.1× 162 1.2× 135 1.1× 131 1.1× 10 866
Hanyun Ren China 16 329 0.7× 272 0.9× 151 1.1× 224 1.8× 45 0.4× 114 1.1k

Countries citing papers authored by Kenji Gonda

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Gonda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Gonda

This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Gonda. A scholar is included among the top collaborators of Kenji Gonda 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 Kenji Gonda. Kenji Gonda 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.
Gonda, Kenji, et al.. (2025). The significance of task shifting for surgeons in high-income countries: an examination of the Japanese case. Frontiers in Public Health. 12. 1435001–1435001. 1 indexed citations
2.
Kaneda, Yudai, Akihiko Ozaki, Michio Murakami, et al.. (2024). Impact of large-scale disasters on breast cancer care: A qualitative analysis of patient experiences during the 2011 triple disaster in Fukushima, Japan. International Journal of Disaster Risk Reduction. 109. 104582–104582. 3 indexed citations
3.
Kaneda, Yudai, Akihiko Ozaki, Hiroaki Saito, et al.. (2024). Two-Year-Span Breast Cancer Screening Uptake in Japan after the COVID-19 Pandemic and Its Association with the COVID-19 Vaccination. Cancers. 16(9). 1783–1783.
4.
Gonda, Kenji, et al.. (2021). Ficus pumila L. improves the prognosis of patients infected with HTLV-1, an RNA virus. Nutrition Journal. 20(1). 16–16. 5 indexed citations
5.
Momma, Tomoyuki, Kenji Gonda, Daisuke Ujiie, et al.. (2019). MLH1 germline mutation associated with Lynch syndrome in a family followed for more than 45 years. BMC Medical Genetics. 20(1). 67–67. 9 indexed citations
6.
Gonda, Kenji, et al.. (2019). Association between cognitive impairment patient with solid cancer and insulin resistance. BMC Research Notes. 12(1). 705–705. 1 indexed citations
7.
Gonda, Kenji, Masahiko Shibata, Daisuke Ujiie, et al.. (2018). Correlation of IL-17 with immune suppression involving MDSC, malnutrition, and prognosis in patients with gastric and colorectal cancer.. Journal of Clinical Oncology. 36(5_suppl). 83–83. 3 indexed citations
8.
9.
Gonda, Kenji, et al.. (2018). Eccrine porocarcinoma arising from the knee. Clinical Case Reports. 6(2). 350–352. 2 indexed citations
10.
Kogashiwa, Yasunao, Masanori Yasuda, Hiroyuki Sakurai, et al.. (2017). PD-L1 Expression Confers Better Prognosis in Locally Advanced Oral Squamous Cell Carcinoma. Anticancer Research. 37(3). 1417–1424. 51 indexed citations
11.
Sakurai, Kenichi, Shigeru Fujisaki, Shuhei Suzuki, et al.. (2016). [Indoleamine 2,3-Dioxygenase Activity during Fulvestrant Therapy for Multiple Metastatic Breast Cancer Patients].. PubMed. 43(10). 1233–1236. 4 indexed citations
12.
13.
Ikeda, Kazuhiko, Hitoshi Ohto, Takahiro Kanno, et al.. (2013). Peripheral blood progenitor cell collection by two programs for autologous and allogeneic transplantation. Transfusion. 54(5). 1235–1242. 13 indexed citations
14.
Yazawa, Takashi, Masahiko Shibata, Kenji Gonda, et al.. (2013). Increased IL-17 production correlates with immunosuppression involving myeloid-derived suppressor cells and nutritional impairment in patients with various gastrointestinal cancers. Molecular and Clinical Oncology. 1(4). 675–679. 49 indexed citations
15.
Watanabe, Takafumi, Masahiko Shibata, Hiroshi Nishiyama, et al.. (2013). Serum levels of rapid turnover proteins are decreased and related to systemic inflammation in patients with ovarian cancer. Oncology Letters. 7(2). 373–377. 26 indexed citations
16.
Suzuki, Shinichi, Masahiko Shibata, Kenji Gonda, et al.. (2013). Immunosuppression involving increased myeloid-derived suppressor cell levels, systemic inflammation and hypoalbuminemia are present in patients with anaplastic thyroid cancer. Molecular and Clinical Oncology. 1(6). 959–964. 43 indexed citations
17.
Gonda, Kenji, Masahiko Shibata, Izumi Nakamura, et al.. (2012). [Myeloid-derived suppressor cells in cancer patients].. PubMed. 39(12). 1797–9. 1 indexed citations
18.
Shibata, Masahiko, Tatsuo Shimura, Kenji Gonda, et al.. (2011). [PSK decreased FOLFOX4-induced peripheral neuropathy and bone marrow suppression in patients with metastatic colorectal cancer].. PubMed. 38(5). 797–801. 3 indexed citations
19.
Yamamoto, Norio & Kenji Gonda. (1999). Multiple trichoepithelioma with basal cell carcinoma.. PubMed. 43(2). 221–2. 11 indexed citations
20.
Demitsu, Toshio, et al.. (1999). Extramammary Paget's disease in two siblings. British Journal of Dermatology. 141(5). 951–952. 10 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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