Jun Takayama

1.7k total citations
41 papers, 1.2k citations indexed

About

Jun Takayama is a scholar working on Organic Chemistry, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Jun Takayama has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Organic Chemistry, 10 papers in Infectious Diseases and 9 papers in Molecular Biology. Recurrent topics in Jun Takayama's work include Oxidative Organic Chemistry Reactions (8 papers), HIV/AIDS drug development and treatment (7 papers) and HIV Research and Treatment (7 papers). Jun Takayama is often cited by papers focused on Oxidative Organic Chemistry Reactions (8 papers), HIV/AIDS drug development and treatment (7 papers) and HIV Research and Treatment (7 papers). Jun Takayama collaborates with scholars based in Japan, United States and Slovakia. Jun Takayama's co-authors include Arun K. Ghosh, Andrew D. Mesecar, Kiira Ratia, Susan C. Baker, Rima Chaudhuri, Michael E. Johnson, Surendranath Baliji, Bellur S. Prabhakar, Katrina Sleeman and Melissa M. Coughlin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Virology.

In The Last Decade

Jun Takayama

38 papers receiving 1.2k citations

Peers

Jun Takayama
Comparison fields: 5 of 83
  • Infectious Diseases 563
  • Molecular Biology 388
  • Organic Chemistry 309
  • Computational Theory and Mathematics 279
  • Immunology 226
Replace Elena Arutyunova with:
Elena Arutyunova Canada
Yahira M. Báez-Santos United States
Manoj S. Nair United States
Yuri Kusov Germany
Sarah E. St. John United States
Ming‐Hon Hou Taiwan
Daniel Brian Nichols United States
Kevin R. Alliston United States
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Steven De Jonghe Belgium
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Citations per field, relative to Jun Takayama
Jun Takayama · 1×
Citations per year, relative to Jun Takayama
Jun Takayama · 1×

Countries citing papers authored by Jun Takayama

Since Specialization
Citations

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

Fields of papers citing papers by Jun Takayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Takayama

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Takayama. A scholar is included among the top collaborators of Jun Takayama 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 Takayama. Jun Takayama 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
# Work Indexed citations
1 0
2 1
3 2
4 9
5 0
6 0
7 19
8 8
9 1
10 14
11 8
12 7
13 32
14 109
15 366
16 10
17 15
18 22
19 6
20
[Tumor markers--personal experience. A case of advanced extragonadal germ-cell tumor showing complete remission by high-dose combination chemotherapy with autologous bone marrow transplantation].
1

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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