Takeshi Deyama

2.2k citations
22 papers · 1.8k indexed · h-index 18

Takeshi Deyama

22 papers receiving 1.7k citations

Peers

Takeshi Deyama
Comparison fields: 5 of 93
  • Biochemistry 331
  • Pathology and Forensic Medicine 524
  • Complementary and alternative medicine 172
  • Plant Science 746
  • Biochemistry 137
Replace Nianbai Fang with:
Nianbai Fang United States
Lumonadio Luyengi United States
Yoshiyuki Kimura Japan
Kaoru Umehara Japan
Dieudonné Njamen Cameroon
Shigeru Arichi Japan
Yoko Takahashi Japan
Hiromichi Okuda Japan
M. Sugano Japan
Janelle M. Landau United States
Takeshi Deyama relative to Nianbai Fang United States Nianbai Fang's profile →
Citations per field
00.5×2.9×
Nianbai Fang · 1×
Citations per year

Countries citing papers authored by Takeshi Deyama

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Deyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Takeshi Deyama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takeshi Deyama Line = papers co-authored together Takeshi Deyama links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200718
2 2007217
3 20072
4 20073
5 200440
6 200441
7 200431
8 200384
9 2003182
10 200350
11 2001407
12
Constituents and pharmacological effects of Eucommia and Siberian ginseng.
2001231
13 19952
14 199058
15 198821
16 198789
17 198742
18
The constituents of Eucommia ulmoides Oliv. IV: Isolation of a new sesquilignan glycoside and iridoids
198623
19 198595
20 1983120

About Takeshi Deyama

Takeshi Deyama is a scholar working on Biochemistry, Complementary and alternative medicine and Plant Science, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include Phytochemistry and Biological Activities (14 papers), Natural product bioactivities and synthesis (10 papers), Plant-derived Lignans Synthesis and Bioactivity (7 papers), Phytoestrogen effects and research (6 papers), Phytochemicals and Antioxidant Activities (3 papers), Natural Antidiabetic Agents Studies (3 papers), Traditional Chinese Medicine Analysis (3 papers) and Ginseng Biological Effects and Applications (2 papers). The work is most often cited by research in Biochemistry (331 citations), Pathology and Forensic Medicine (524 citations) and Complementary and alternative medicine (172 citations). Takeshi Deyama has collaborated with scholars based in Japan, Canada and United Kingdom. Frequent co-authors include Sansei Nishibe, Yoshihisa Nakazawa, Tarja Nurmi, Herman Adlercreutz, Satu Heinonen, Kaisa Poutanen, Kirsi Liukkonen, Kristiina Wähälä, Shizuka Kitagawa and Chiu‐Yin Kwan. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Journal of Ethnopharmacology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026