Miki Nakajima

13.4k citations
267 papers · 11.0k indexed · h-index 60
Topics
Pharmacogenetics and Drug Metabolism (122 papers)Drug Transport and Resistance Mechanisms (69 papers)Drug-Induced Hepatotoxicity and Protection (51 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Miki Nakajima

263 papers receiving 10.8k citations

Peers

Miki Nakajima
Comparison fields: 5 of 149
  • Pharmacology 4.7k
  • Molecular Biology 4.5k
  • Oncology 3.0k
  • Cancer Research 2.0k
  • Pharmacology 1.1k
Replace Tsuyoshi Yokoi with:
Tsuyoshi Yokoi Japan
Jeffrey R. Idle United Kingdom
Yasushi Yamazoe Japan
Olavi Pelkonen Finland
Robert H. Tukey United States
Kristopher W. Krausz United States
Jürgen Brockmöller Germany
Thomas K. H. Chang United States
Brian G. Lake United Kingdom
Hannu Raunio Finland
Miki Nakajima relative to Tsuyoshi Yokoi Japan Tsuyoshi Yokoi's profile →
Citations per field
00.5×1.5×
Tsuyoshi Yokoi · 1×
Citations per year

Countries citing papers authored by Miki Nakajima

Since Specialization
Citations

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

Fields of papers citing papers by Miki Nakajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miki Nakajima

This figure shows the co-authorship network connecting the top 25 collaborators of Miki Nakajima. A scholar is included among the top collaborators of Miki Nakajima 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 Miki Nakajima. Miki Nakajima 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 2
3 5
4 3
5 2
6 3
7 5
8 4
9 3
10 18
11 6
12 13
13
Toxicological evaluation of acyl glucuronides utilizing half-lives, peptide adducts, and immunostimulation assays
8
14 5
15 23
16 35
17 26
18 35
19 87
20 60

About Miki Nakajima

Miki Nakajima is a scholar working on Pharmacology, Cancer Research and Oncology, having authored 267 papers that have together received 11.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (122 papers), Drug Transport and Resistance Mechanisms (69 papers) and Drug-Induced Hepatotoxicity and Protection (51 papers). The work is most often cited by research in Pharmacology (4.7k citations), Cancer Research (2.0k citations) and Oncology (3.0k citations). Miki Nakajima has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tsuyoshi Yokoi, Tatsuki Fukami, Yuki Tsuchiya, Miki Katoh, Shingo Takagi, Hiroyuki Yamanaka, Hiroshi Yamazaki, Ryoichi Fujiwara, Masataka Nakano and Shingo Oda. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications 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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