Keiko Ichikawa

596 total citations
19 papers, 176 citations indexed

About

Keiko Ichikawa is a scholar working on Molecular Biology, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Keiko Ichikawa has authored 19 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Materials Chemistry and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Keiko Ichikawa's work include Enzyme Structure and Function (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Keiko Ichikawa is often cited by papers focused on Enzyme Structure and Function (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Keiko Ichikawa collaborates with scholars based in Japan, Switzerland and Lithuania. Keiko Ichikawa's co-authors include Tatsuo Hoshino, Toshiro Sugiyama, Makoto Sueishi, Takeshi Umibe, Maiko Yoshimura, Ryutaro Matsumura, Kenta Adachi, Suzuko Yamazaki, Toshihiro Suda and Yuhsaku Kanoh and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Bacteriology and The Journal of Physical Chemistry A.

In The Last Decade

Keiko Ichikawa

16 papers receiving 168 citations

Peers

Keiko Ichikawa
Comparison fields: 5 of 67
  • Molecular Biology 63
  • Materials Chemistry 60
  • Rheumatology 45
  • Immunology 24
  • Plant Science 20
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Citations per field, relative to Keiko Ichikawa
Keiko Ichikawa · 1×
Citations per year, relative to Keiko Ichikawa
Keiko Ichikawa · 1×

Countries citing papers authored by Keiko Ichikawa

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Ichikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Ichikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Ichikawa. A scholar is included among the top collaborators of Keiko Ichikawa 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 Keiko Ichikawa. Keiko Ichikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 9
3 22
4
Anti-tumor necrosis factor therapy in patients with difficult-to-treat lupus nephritis: a prospective series of nine patients.
41
5 13
6 0
7 17
8 11
9 6
10 10
11 15
12 19
13
[Quantitative levels of serum amyloid A protein and other proteins in cerebrospinal fluid and serum of patients with meningitis].
2
14 0
15 2
16
[Variations of serum amyloid A protein and interleukin-6 in patients with low concentration of serum C-reactive protein].
1
17 0
18
[Sweating deficiency in myotonic dystrophy].
2
19 5

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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