Akemi Ota

499 citations
23 papers · 428 · h-index 10

Impact in

Papers in

    • HIV Research and Treatment 6
    • Immune Cell Function and Interaction 5
    • Toxin Mechanisms and Immunotoxins 2

Akemi Ota

23 papers receiving 413 citations

Peers

Akemi Ota
Comparison fields: 5 of 70
  • Virology 31
  • Biochemistry 49
  • Orthopedics and Sports Medicine 28
  • Cell Biology 55
  • Cancer Research 45
Replace Damien V. Cordery with:
Damien V. Cordery Australia
Pyeung-Hyeun Kim South Korea
Marie Isabelle Garcia France
Norbert Gualde France
Ayatoshi Andou Japan
Shoichiro Kameoka Japan
Mahdi Ghatrehsamani Iran
Masakazu Kakuni Japan
Douglas N. Cox United States
Chris Chung-Sing Chan Hong Kong
Akemi Ota relative to Damien V. Cordery Australia Damien V. Cordery's profile →
Citations per field
00.5×2×4×6×8×9.3×
Damien V. Cordery · 1×
Citations per year

Countries citing papers authored by Akemi Ota

Since Specialization
Citations

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

Fields of papers citing papers by Akemi Ota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Akemi 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 Akemi Ota Line = papers co-authored together Akemi Ota links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006126
2 200968
3 199846
4 200241
5 200434
6 201615
7 200713
8 199812
9 199811
10 200810
11 19929
12 20088
13 19957
14 19936
15 20214
16 20094
17 20084
18 19994
19 20022
20 20191

About Akemi Ota

Akemi Ota is a scholar working on Virology, Immunology, Cell Biology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 428 indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), Immune Cell Function and Interaction (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), CRISPR and Genetic Engineering (2 papers), Pluripotent Stem Cells Research (2 papers), Protein purification and stability (2 papers), Toxin Mechanisms and Immunotoxins (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Virology (31 citations), Biochemistry (49 citations), Orthopedics and Sports Medicine (28 citations), Cell Biology (55 citations) and Cancer Research (45 citations). Akemi Ota has collaborated with scholars based in Japan, Germany and Denmark. Frequent co-authors include Shigeharu Ueda, Ken‐ichi Hirano, Nobuo Sakato, Shinya Kuno, Iichiro Shimomura, José C. Sandoval, Toshihide Kobayashi, Yoshiko Ohno‐Iwashita, Satoshi B. Sato and Shizuya Yamashita. Their work appears in journals such as The Journal of Biochemistry, The FASEB Journal, Cell Transplantation, Journal of Lipid Research and European Journal of Applied Physiology.

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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