Jun Ota

1.4k citations
46 papers · 1.0k · h-index 19

Impact in

  • Oncology top 10%
    • Colorectal Cancer Treatments and Studies
    • Colorectal Cancer Screening and Detection
    • Cancer Treatment and Pharmacology
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

Jun Ota

46 papers receiving 1.0k citations

Peers

Jun Ota
Comparison fields: 5 of 90
  • Oncology 312
  • Hematology 112
  • Cancer Research 133
  • Pathology and Forensic Medicine 150
  • Genetics 74
Replace Pedro Blecua with:
Pedro Blecua United States
Lawrence Lai United States
Sepp Kaul Germany
Steven A. Bogen United States
Jeffrey K. Mito United States
Michael Kragh United States
J. Moore United Kingdom
Elisabetta Bandiera Italy
David Killock United States
Jinming Yu China
Jun Ota relative to Pedro Blecua United States Pedro Blecua's profile →
Citations per field
00.5×1.5×
Pedro Blecua · 1×
Citations per year

Countries citing papers authored by Jun Ota

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Ota, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Ota Line = papers co-authored together Jun Ota links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003105
2 199076
3 200573
4 200469
5
[A late phase II clinical study of RP56976 (docetaxel) in patients with advanced or recurrent gastric cancer: a cooperative study group trial (group B)].
199968
6 200167
7 200347
8 200343
9 200635
10 200134
11 200532
12 198930
13 200323
14 200323
15 201321
16 200521
17 199820
18 200419
19 200319
20 199717

About Jun Ota

Jun Ota is a scholar working on Oncology, Molecular Biology, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Hematology, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Fiber Laser Technologies (6 papers), Photonic Crystal and Fiber Optics (6 papers), Advanced Fiber Optic Sensors (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Acute Myeloid Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Oncology (312 citations), Hematology (112 citations), Cancer Research (133 citations), Pathology and Forensic Medicine (150 citations) and Genetics (74 citations). Jun Ota has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiroyuki Mano, Yoshihiro Yamashita, Young Lim Choi, Koji Koinuma, Tomoaki Wada, Ruri Ohki, Akira Shirakawa, Shuichi Ueno, T Taguchi and Koji Yoshida. Their work appears in journals such as Biochemical and Biophysical Research Communications, British Journal of Haematology, Oncogene, Leukemia and Cancer Science.

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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