Maiko Kobayashi

2.8k citations
49 papers · 2.2k indexed · 1 hit paper · h-index 20

Maiko Kobayashi

48 papers receiving 2.1k citations

Hit Papers

A forest bathing trip increases human natural killer acti...2008202620142020200850100150

Peers

Maiko Kobayashi
Comparison fields: 5 of 150
  • Health, Toxicology and Mutagenesis 1.3k
  • Plant Science 332
  • Social Psychology 241
  • Sensory Systems 209
  • Speech and Hearing 192
Replace Masao Katsumata with:
Masao Katsumata Japan
Davide Donelli Italy
Michele Antonelli Italy
Sara Warber United States
Nancy Fiedler United States
Francisco R. Nieto Spain
Guofu Wang China
Ulrik Sidenius Denmark
Chang-Seob Shin South Korea
David A. Otto United States
Maiko Kobayashi relative to Masao Katsumata Japan Masao Katsumata's profile →
Citations per field
00.5×1.5×
Masao Katsumata · 1×
Citations per year

Countries citing papers authored by Maiko Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Maiko Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maiko Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Maiko Kobayashi. A scholar is included among the top collaborators of Maiko Kobayashi 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 Maiko Kobayashi. Maiko Kobayashi 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 4
2 10
3 9
4 16
5 10
6 12
7 18
8 18
9 78
10 268
11 56
12
7
13 11
14 19
15 55
16 10
17 6
18 23
19
Keishi-ka-kei-to, a traditional Chinese herbal medicine, inhibits pulmonary metastasis of B16 melanoma.
36
20 8

About Maiko Kobayashi

Maiko Kobayashi is a scholar working on Health, Toxicology and Mutagenesis, Conservation and Sensory Systems, having authored 49 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (8 papers), Urban Green Space and Health (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.3k citations), Sensory Systems (209 citations) and Conservation (143 citations). Maiko Kobayashi has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Tomoyuki Kawada, Takahide Kagawa, Yoshifumi Miyazaki, Masao Katsumata, Chorong Song, Shigeyoshi Kumeda, Takashi Miura, Harumi Ikei, Michiko Imai and Yoko Hirata. Their work appears in journals such as Journal of the American Chemical Society, Journal of Agricultural and Food Chemistry and Journal of Investigative Dermatology.

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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