Akiko Kume

994 total citations
32 papers, 740 citations indexed

About

Akiko Kume is a scholar working on Molecular Biology, Organic Chemistry and Immunology. According to data from OpenAlex, Akiko Kume has authored 32 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Organic Chemistry and 9 papers in Immunology. Recurrent topics in Akiko Kume's work include Organophosphorus compounds synthesis (8 papers), Immunotherapy and Immune Responses (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Akiko Kume is often cited by papers focused on Organophosphorus compounds synthesis (8 papers), Immunotherapy and Immune Responses (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Akiko Kume collaborates with scholars based in Japan. Akiko Kume's co-authors include Mitsuo Sekine, Tsujiaki Hata, Yasuto Akiyama, Akira Iizuka, Tadashi Ashizawa, Haruo Miyata, Masaru Komiyama, Chie Oshita, Masashi Nakajima and Yoshio Kiyohara and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Organic Chemistry.

In The Last Decade

Akiko Kume

31 papers receiving 701 citations

Peers

Akiko Kume
Comparison fields: 5 of 86
  • Molecular Biology 416
  • Immunology 231
  • Oncology 197
  • Organic Chemistry 182
  • Genetics 67
Replace Pamela Austin with:
Pamela Austin Canada
Kohei Tsuji Japan
Zilan Song China
R.B. Credo United States
Gerjan de Bruin Netherlands
Neal K. Williams Australia
Rommel I. Tawatao United States
Jean Melville United Kingdom
Benjamin P. Martin United States
Tonia J. Buchholz United States
Pamela Austin Canada View profile →
Citations per field, relative to Akiko Kume
Akiko Kume · 1×
Citations per year, relative to Akiko Kume
Akiko Kume · 1×

Countries citing papers authored by Akiko Kume

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Kume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Kume

This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Kume. A scholar is included among the top collaborators of Akiko Kume 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 Akiko Kume. Akiko Kume 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 30
2 13
3
Effect of STAT3 inhibition on the metabolic switch in a highly STAT3-activated lymphoma cell line.
16
4 6
5 33
6 23
7 32
8 5
9 2
10 83
11 18
12 7
13
Identification of melanoma antigens using a Serological Proteome Approach (SERPA).
59
14 15
15 39
16 21
17 29
18 1
19 42
20 16

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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