Sachiko Tamba

505 citations
21 papers · 345 indexed · h-index 9
Topics
Adipokines, Inflammation, and Metabolic Diseases (10 papers)Cardiovascular Disease and Adiposity (3 papers)Biomarkers in Disease Mechanisms (2 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Sachiko Tamba

20 papers receiving 338 citations

Peers

Sachiko Tamba
Comparison fields: 5 of 58
  • Epidemiology 186
  • Physiology 90
  • Cardiology and Cardiovascular Medicine 83
  • Nephrology 78
  • Endocrinology, Diabetes and Metabolism 77
Replace Noriyuki Komura with:
Noriyuki Komura Japan
Rosa Maria Parlongo Italy
Fitsum Guebre-Egziabher France
M. Tonoli Italy
Ryu Kawai Japan
Leay‐Kiaw Er Taiwan
Ina Maria Kacsó Romania
Guenter Hoefle Austria
Tannia Leticia Viveros-Ruiz Mexico
Maria Bożentowicz‐Wikarek Poland
Sachiko Tamba relative to Noriyuki Komura Japan Noriyuki Komura's profile →
Citations per field
00.5×1.5×2.5×
Noriyuki Komura · 1×
Citations per year

Countries citing papers authored by Sachiko Tamba

Since Specialization
Citations

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

Fields of papers citing papers by Sachiko Tamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachiko Tamba

This figure shows the co-authorship network connecting the top 25 collaborators of Sachiko Tamba. A scholar is included among the top collaborators of Sachiko Tamba 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 Sachiko Tamba. Sachiko Tamba 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 1
3 4
4 8
5 5
6 0
7 12
8 1
9 5
10 71
11 33
12
Evaluation of Diabetic Polyneuropathy by Pain Vision^【○!R】PS-2100, The Device for Quantitative Analysis of Perception and Pain
3
13 4
14 12
15 2
16 42
17 12
18 1
19 22
20 94

About Sachiko Tamba

Sachiko Tamba is a scholar working on Nephrology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 345 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (10 papers), Cardiovascular Disease and Adiposity (3 papers) and Biomarkers in Disease Mechanisms (2 papers). The work is most often cited by research in Nephrology (78 citations), Epidemiology (186 citations) and Endocrinology, Diabetes and Metabolism (77 citations). Sachiko Tamba has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yūji Matsuzawa, Yuya Yamada, Yoshinari Obata, Hitoshi Nishizawa, Tohru Funahashi, Megu Y. Baden, Iichiro Shimomura, Tomoko Ogawa, Tadashi Nakamura and Yukiyoshi Okauchi. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Hepatology and Atherosclerosis.

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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