S. Takeda

38 papers receiving 789 citations

Peers

S. Takeda
Comparison fields: 5 of 132
  • Endocrine and Autonomic Systems 76
  • Orthopedics and Sports Medicine 64
  • Cellular and Molecular Neuroscience 134
  • Forestry 29
  • Global and Planetary Change 143
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Countries citing papers authored by S. Takeda

Since Specialization
Citations

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

Fields of papers citing papers by S. Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Takeda, 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 S. Takeda Line = papers co-authored together S. Takeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004266
2 1995149
3 201340
4 200626
5 201625
6 201623
7 201322
8 201621
9 199321
10 200618
11 199418
12 200916
13
Mixed species gardens in Java and the transmigration areas of Sumatra, Indonesia: a comparison.
200615
14 201614
15 201313
16 201113
17
CHRONOSEQUENCE CHANGES IN SOIL PROPERTIES OF TEAK (TECTONA GRANDIS) PLANTATIONS IN THE BAGO MOUNTAINS, MYANMAR
200710
18
[Introduction of rod-deleted dystrophin cDNA, delta DysM3, into mdx skeletal muscle using adenovirus vector].
199710
19
Dynamics of Upland Utilization and Forest Land Management : A Case Study in Yasothon Province, Northeast Thailand
19949
20 20139

About S. Takeda

S. Takeda is a scholar working on Global and Planetary Change, Political Science and International Relations, Nature and Landscape Conservation, Sociology and Political Science and Soil Science, having authored 40 papers that have together received 818 indexed citations. Recurring topics across this work include Conservation, Biodiversity, and Resource Management (15 papers), Southeast Asian Sociopolitical Studies (7 papers), Vietnamese History and Culture Studies (6 papers), Forest ecology and management (5 papers), Agricultural Systems and Practices (3 papers), Soil erosion and sediment transport (3 papers), Rangeland Management and Livestock Ecology (3 papers) and Cambodian History and Society (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (76 citations), Orthopedics and Sports Medicine (64 citations), Cellular and Molecular Neuroscience (134 citations), Forestry (29 citations) and Global and Planetary Change (143 citations). S. Takeda has collaborated with scholars based in Japan, Laos and Bulgaria. Frequent co-authors include Yosuke Takei, Takehiro Takahashi, Akihiro Harada, Yasuyuki Kosaka, Takeshi Noda, Nobutaka Hirokawa, Sumio Terada, Katsunori Kobayashi, Ken Ebihara and Florent Elefteriou. Their work appears in journals such as Economic Botany, Mountain Research and Development, Journal of Land Use Science, Forest Ecology and Management and Small-scale Forestry.

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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