Takao Kodama

2.2k citations
88 papers · 1.7k indexed · h-index 19

Takao Kodama

80 papers receiving 1.6k citations

Peers

Takao Kodama
Comparison fields: 5 of 131
  • Pathology and Forensic Medicine 392
  • Oncology 456
  • Immunology 343
  • Cell Biology 212
  • Biotechnology 84
Replace Mark L. Chiu with:
Mark L. Chiu United States
James P. Sheridan United States
Konan Peck Taiwan
Michael L. Doyle United States
Vadim Gaponenko United States
Tohru Sato Japan
Gerd A. Müller Germany
Eiichiro Suzuki Japan
Yusuke Okuno Japan
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Citations per year

Countries citing papers authored by Takao Kodama

Since Specialization
Citations

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

Fields of papers citing papers by Takao Kodama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20201
3 20171
4
アクチン-ミオシン結合とアクチン重合での水の役割:水分子の回転及び並進移動度
20121
5 201015
6 200435
7 20043
8 20043
9 200381
10 200241
11 20017
12 19991
13 19911
14 19901
15 198912
16 19898
17 19881
18
Xenogenization of Tumor Cells
197723
19
Immunochemotherapy of transplanted KMT-17 tumor in WKA rats by combination of cyclophosphamide and immunostimulatory protein-bound polysaccharide isolated from basidiomycetes.
197739
20
Adoptive immunotherapy of a Gross virus producing lymphoma and a methylcholanthrene-induced fibrosarcoma in tolerant rats.
19762

About Takao Kodama

Takao Kodama is a scholar working on Structural Biology, Biophysics and Animal Science and Zoology, having authored 88 papers that have together received 1.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), Quantum, superfluid, helium dynamics (9 papers), Spacecraft and Cryogenic Technologies (5 papers), Atomic and Subatomic Physics Research (5 papers), Animal Virus Infections Studies (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Cardiomyopathy and Myosin Studies (4 papers) and Advanced NMR Techniques and Applications (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (392 citations), Oncology (456 citations) and Immunology (343 citations). Takao Kodama has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Kazuhiro Fukui, K. Kometani, Makoto Suzuki, Hiroshi Kobayashi, Fujiro Sendo, Won Seog Kim, Hiroshi Kimura, Koji Izutsu, Yok‐Lam Kwong and Junji Suzumiya. Their work appears in journals such as JNCI Journal of the National Cancer Institute, The Journal of Biochemistry, Journal of the Physical Society of Japan, Physica B Condensed Matter and International Journal of Cancer.

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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