Akiko Tamura

3.0k citations
96 papers · 1.9k indexed · h-index 23
Topics
Diet, Metabolism, and Disease (9 papers)Microbial Metabolites in Food Biotechnology (8 papers)Parkinson's Disease Mechanisms and Treatments (8 papers)
Journals
Journal of Biological ChemistryJournal of Clinical OncologySHILAP Revista de lepidopterología
Partner nations
JapanUnited StatesSpain

In The Last Decade

Akiko Tamura

88 papers receiving 1.9k citations

Peers

Akiko Tamura
Comparison fields: 5 of 145
  • Molecular Biology 512
  • Pathology and Forensic Medicine 331
  • Oncology 236
  • Cancer Research 235
  • Surgery 219
Replace Robert S. Geske with:
Robert S. Geske United States
Jin‐Ho Choi South Korea
B. Mak Arvin United Kingdom
Yoon Jung Choi South Korea
Peter J. Richards Switzerland
Tetsuji Tanaka Japan
Lei Fang China
John Garvey Ireland
Vera H. Price United States
Akiko Tamura relative to Robert S. Geske United States Robert S. Geske's profile →
Citations per field
00.5×1.7×
Robert S. Geske · 1×
Citations per year

Countries citing papers authored by Akiko Tamura

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Tamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Tamura

This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Tamura. A scholar is included among the top collaborators of Akiko Tamura 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 Akiko Tamura. Akiko Tamura 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 1
2 5
3 6
4 0
5 10
6 1
7 24
8 23
9 4
10 22
11 2
12 22
13 33
14 5
15 52
16 280
17 10
18 47
19
Export, investment, and patent licensing decisions with technology diffusion : evidence from Japanese aggregate and industry data
1
20 42

About Akiko Tamura

Akiko Tamura is a scholar working on Pathology and Forensic Medicine, Nutrition and Dietetics and Oral Surgery, having authored 96 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (9 papers), Microbial Metabolites in Food Biotechnology (8 papers) and Parkinson's Disease Mechanisms and Treatments (8 papers). The work is most often cited by research in General Economics, Econometrics and Finance (203 citations), Pathology and Forensic Medicine (331 citations) and Cancer Research (235 citations). Akiko Tamura has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Jonathan Eaton, Masafumi Taniwaki, Shigeo Nakamura, Ritsuro Suzuki, Yasuo Morishima, Mutsuhito Motegi, Yoshitaka Hosokawa, Tomoaki Akagi, Shigehiko Tamura and Hannah Nelson. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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