Naoki Sugawara

613 citations
42 papers · 541 indexed · h-index 15
Topics
Trace Elements in Health (33 papers)Heavy Metal Exposure and Toxicity (28 papers)Drug Transport and Resistance Mechanisms (9 papers)
Partner nations
JapanIndiaChina

In The Last Decade

Naoki Sugawara

41 papers receiving 506 citations

Peers

Naoki Sugawara
Comparison fields: 5 of 79
  • Health, Toxicology and Mutagenesis 370
  • Nutrition and Dietetics 349
  • Oncology 93
  • Plant Science 77
  • Pollution 62
Replace Sneha Tandon with:
Sneha Tandon India
Kyong-Son Min Japan
Alessandro Santon Italy
K.L. Wong United States
N Thirumoorthy India
Alessia Formigari Italy
H. Kreppel Germany
Michael S. Madejczyk United States
Gaolong Zhong China
Robert M. Bare United States
Naoki Sugawara relative to Sneha Tandon India Sneha Tandon's profile →
Citations per field
00.5×1.5×2.4×
Sneha Tandon · 1×
Citations per year

Countries citing papers authored by Naoki Sugawara

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Sugawara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Sugawara

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Sugawara. A scholar is included among the top collaborators of Naoki Sugawara 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 Naoki Sugawara. Naoki Sugawara 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 6
2 17
3 28
4 8
5 14
6 14
7 12
8 24
9 4
10 6
11 48
12 5
13 19
14
Copper metabolism in LEC rats aged 30 and 80 days old : Induction of Cu-metallothionein and status of zinc and iron
7
15 5
16 40
17 5
18 2
19 5
20 19

About Naoki Sugawara

Naoki Sugawara is a scholar working on Nutrition and Dietetics, Health, Toxicology and Mutagenesis and Analytical Chemistry, having authored 42 papers that have together received 541 indexed citations. Recurring topics across this work include Trace Elements in Health (33 papers), Heavy Metal Exposure and Toxicity (28 papers) and Drug Transport and Resistance Mechanisms (9 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (370 citations), Nutrition and Dietetics (349 citations) and Pollution (62 citations). Naoki Sugawara has collaborated with scholars based in Japan, India and China. Frequent co-authors include Chieko Sugawara, Yurong Lai, Hirotsugu Miyake, Makoto Mori, Yutaka Kohgo, Hidetoshi Takahashi, Noritoshi Takeichi, Dan Li, Koji Arizono and Motoyuki Yuasa. Their work appears in journals such as Brain Research, Cellular and Molecular Life Sciences and Life Sciences.

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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