Keiko Maekawa

3.8k citations
98 papers · 2.8k indexed · h-index 31
Topics
Pharmacogenetics and Drug Metabolism (23 papers)Drug Transport and Resistance Mechanisms (17 papers)Metabolomics and Mass Spectrometry Studies (9 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Keiko Maekawa

93 papers receiving 2.8k citations

Peers

Keiko Maekawa
Comparison fields: 5 of 121
  • Molecular Biology 1.3k
  • Oncology 665
  • Pharmacology 625
  • Cellular and Molecular Neuroscience 542
  • Physiology 529
Replace Vangelis G. Manolopoulos with:
Vangelis G. Manolopoulos Greece
Toyoko Hiroi Japan
Irina A. Pikuleva United States
Oliver Langer Austria
Hirokazu Furuya Japan
Lena Gustavsson Sweden
Mohammed Qatanani United States
Kathleen K. Brown United States
Nobuaki Watanabe Japan
Tamihide Matsunaga Japan
Keiko Maekawa relative to Vangelis G. Manolopoulos Greece Vangelis G. Manolopoulos's profile →
Citations per field
00.5×1.5×2.2×
Vangelis G. Manolopoulos · 1×
Citations per year

Countries citing papers authored by Keiko Maekawa

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Maekawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Maekawa

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Maekawa. A scholar is included among the top collaborators of Keiko Maekawa 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 Maekawa. Keiko Maekawa 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
#WorkIndexed citations
1 0
2 5
3 26
4 18
5 1
6 155
7 116
8 33
9
[Trends in drug-induced liver injury based on reports of adverse reactions to PMDA in Japan].
2
10 49
11 52
12 13
13 19
14 9
15 23
16 4
17 54
18 38
19 198
20
2

About Keiko Maekawa

Keiko Maekawa is a scholar working on Pharmacology, Biochemistry and Oncology, having authored 98 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (23 papers), Drug Transport and Resistance Mechanisms (17 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). The work is most often cited by research in Pharmacology (625 citations), Cellular and Molecular Neuroscience (542 citations) and Biochemistry (198 citations). Keiko Maekawa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yoshiro Saito, Masabumi Minami, Masaki Ishikawa, Kosuke Saito, Kazuki Yabuuchi, Jun‐ichi Sawada, Takashi Toya, Tatsuhiro Onogi, Yoshikazu Katao and Yuya Senoo. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

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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