Jun Yamamoto

3.3k total citations
171 papers, 2.7k citations indexed

About

Jun Yamamoto is a scholar working on Biotechnology, Molecular Biology and Genetics. According to data from OpenAlex, Jun Yamamoto has authored 171 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Biotechnology, 25 papers in Molecular Biology and 25 papers in Genetics. Recurrent topics in Jun Yamamoto's work include Cancer Research and Treatments (44 papers), Marine and fisheries research (22 papers) and Cephalopods and Marine Biology (20 papers). Jun Yamamoto is often cited by papers focused on Cancer Research and Treatments (44 papers), Marine and fisheries research (22 papers) and Cephalopods and Marine Biology (20 papers). Jun Yamamoto collaborates with scholars based in Japan, United States and South Korea. Jun Yamamoto's co-authors include Robert M. Hoffman, Yasunori Sakurai, Michael Bouvet, Qinghong Han, Norihiko Sugisawa, Kazuyuki Hamada, Reiko Kishi, Chihiro Miyashita, Sachiko Inubushi and Hiroto Nishino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and PLoS ONE.

In The Last Decade

Jun Yamamoto

166 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Yamamoto Japan 30 615 590 403 368 345 171 2.7k
Hiroshi Nagai Japan 38 957 1.6× 1.6k 2.7× 710 1.8× 101 0.3× 164 0.5× 184 4.7k
Makiko Tanaka Japan 28 262 0.4× 739 1.3× 143 0.4× 73 0.2× 466 1.4× 102 3.3k
Gary K. Ostrander United States 31 221 0.4× 891 1.5× 266 0.7× 367 1.0× 79 0.2× 79 2.6k
Michael P. Sarras United States 36 128 0.2× 1.5k 2.5× 315 0.8× 103 0.3× 240 0.7× 80 3.1k
Charles F.B. Holmes Canada 37 254 0.4× 2.3k 3.9× 174 0.4× 332 0.9× 257 0.7× 78 5.0k
Hynek Strnad Czechia 31 141 0.2× 1.4k 2.5× 207 0.5× 78 0.2× 296 0.9× 89 2.7k
Emmanuelle Renard France 22 541 0.9× 855 1.4× 215 0.5× 34 0.1× 81 0.2× 45 2.0k
Susan Lucas United States 22 359 0.6× 1.6k 2.7× 257 0.6× 101 0.3× 38 0.1× 50 3.2k
Ulla Rasmussen Sweden 39 174 0.3× 2.1k 3.5× 311 0.8× 110 0.3× 242 0.7× 88 5.4k
Sue‐Ann Watson Australia 35 107 0.2× 905 1.5× 236 0.6× 144 0.4× 663 1.9× 99 4.8k

Countries citing papers authored by Jun Yamamoto

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yamamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yamamoto. A scholar is included among the top collaborators of Jun Yamamoto 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 Jun Yamamoto. Jun Yamamoto 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.
Mukai, T., et al.. (2025). Broadband Characteristics of Target Strength of Pacific Chub Mackerel. Fishes. 10(2). 51–51.
2.
Miyake, Kentaro, Jun Yamamoto, Kota Sahara, et al.. (2024). Methionine restriction inhibits pancreatic cancer proliferation while suppressing JAK2/STAT3 pathway. Pancreatology. 25(1). 108–117. 1 indexed citations
3.
Miyake, Kentaro, Qinghong Han, Takashi Murakami, et al.. (2023). Colon-cancer liver metastasis is effectively targeted by recombinant methioninase (rMETase) in an orthotopic mouse model. Tissue and Cell. 83. 102125–102125. 3 indexed citations
4.
Nishino, Hiroto, Hannah M. Hollandsworth, Yoshihiko Tashiro, et al.. (2021). A Novel Color-Coded Liver Metastasis Mouse Model to Distinguish Tumor and Adjacent Liver Segment. Journal of Surgical Research. 264. 327–333. 9 indexed citations
5.
Yamamoto, Jun, Kentaro Miyake, Qinghong Han, et al.. (2020). Oral recombinant methioninase increases TRAIL receptor-2 expression to regress pancreatic cancer in combination with agonist tigatuzumab in an orthotopic mouse model. Cancer Letters. 492. 174–184. 32 indexed citations
6.
Yamamoto, Jun. (2020). Corporate Waste Management Service Strategies in Southeast Asia. Material Cycles and Waste Management Research. 31(1). 39–43. 4 indexed citations
7.
Sun, Yu, Hiroto Nishino, Norihiko Sugisawa, et al.. (2020). Oral Recombinant Methioninase Sensitizes a Bladder Cancer Orthotopic Xenograft Mouse Model to Low-dose Cisplatinum and Prevents Metastasis. Anticancer Research. 40(11). 6083–6091. 7 indexed citations
8.
Higuchi, Takashi, Norihiko Sugisawa, Jun Yamamoto, et al.. (2019). The combination of oral-recombinant methioninase and azacitidine arrests a chemotherapy-resistant osteosarcoma patient-derived orthotopic xenograft mouse model. Cancer Chemotherapy and Pharmacology. 85(2). 285–291. 37 indexed citations
9.
Park, Jun Ho, Ming Zhao, Qinghong Han, et al.. (2019). Efficacy of oral recombinant methioninase combined with oxaliplatinum and 5-fluorouracil on primary colon cancer in a patient-derived orthotopic xenograft mouse model. Biochemical and Biophysical Research Communications. 518(2). 306–310. 34 indexed citations
10.
Kawai, Hiroshi, et al.. (2014). INFLUENCE OF OPTICAL ATTENUATION ON THE PRIMARY PRODUCTION IN THE MUKAWA COAST, HOKKAIDO. Journal of Japan Society of Civil Engineers Ser B3 (Ocean Engineering). 70(2). I_1032–I_1037. 1 indexed citations
11.
Yamamoto, Jun, et al.. (2013). Effect of snowmelt flood for primary production in Mukawa coast, Hokkaido. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering). 69(2). I_1191–I_1195. 1 indexed citations
12.
Yamamoto, Jun, et al.. (2012). Influence of a river flood on the environment of fishing ground in the Mukawa coast, Hokkaido. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering). 68(2). I_1121–I_1125. 1 indexed citations
13.
Fujimori, Yasuzumi, T. Mukai, & Jun Yamamoto. (2010). Effect of artificial light on sampling with plankton net for euphausiid. NIPPON SUISAN GAKKAISHI. 76(6). 1080–1082. 1 indexed citations
14.
Ito, Akinori, Jun Yamamoto, Junko Kajikuri, et al.. (2010). Randomized Controlled Trial of the Effect of Short-term Coadministration of Methylcobalamin and Folate on Serum ADMA Concentration in Patients Receiving Long-term Hemodialysis. American Journal of Kidney Diseases. 55(6). 1069–1078. 44 indexed citations
15.
16.
17.
Yamamoto, Jun, et al.. (2006). Propylene Oxide Manufacturing Processes.. 48(7). 511–515. 1 indexed citations
18.
Yamamoto, Jun, et al.. (2002). Investigation on the early stages of the ommastrephid squid Todarodes pacificus near the Oki Islands (Sea of Japan). Bulletin of Marine Science. 71(2). 987–992. 19 indexed citations
19.
Yamamoto, Jun, et al.. (1999). Trial Use of Artificial Bait with Tuna Longline. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 50(2). 71–76. 3 indexed citations
20.
Furukawa, Hiroshi, K Mukai, Yoshiakira Kanai, et al.. (1998). Nonfunctioning Islet Cell Tumors of the Pancreas: Clinical, Imaging and Pathological Aspects in 16 Patients. Japanese Journal of Clinical Oncology. 28(4). 255–261. 24 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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