Takako Saeki

15.0k citations
88 papers · 2.6k indexed · 1 hit paper · h-index 26
Topics
IgG4-Related and Inflammatory Diseases (49 papers)Amyloidosis: Diagnosis, Treatment, Outcomes (28 papers)Neuroendocrine Tumor Research Advances (21 papers)
Partner nations
JapanUnited StatesItaly

In The Last Decade

Takako Saeki

83 papers receiving 2.6k citations

Hit Papers

The 2019 American College of Rheumatology/European League...20192026202120232019100200300400

Peers

Takako Saeki
Comparison fields: 5 of 71
  • Rheumatology 2.1k
  • Surgery 1.4k
  • Epidemiology 1.3k
  • Molecular Biology 752
  • Nephrology 338
Replace Motohisa Yamamoto with:
Motohisa Yamamoto Japan
Mollie N. Carruthers Canada
Chisako Suzuki Japan
Cory A. Perugino United States
Hideaki Hamano Japan
Sebastian Unizony United States
Cloé Comarmond France
Clodoveo Ferri Italy
Marco Lanzillotta Italy
Élisabeth Palazzo France
Takako Saeki relative to Motohisa Yamamoto Japan Motohisa Yamamoto's profile →
Citations per field
00.5×2.8×
Motohisa Yamamoto · 1×
Citations per year

Countries citing papers authored by Takako Saeki

Since Specialization
Citations

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

Fields of papers citing papers by Takako Saeki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takako Saeki

This figure shows the co-authorship network connecting the top 25 collaborators of Takako Saeki. A scholar is included among the top collaborators of Takako Saeki 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 Takako Saeki. Takako Saeki 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 2
2 1
3 36
4 17
5 59
6 9
7 21
8 49
9 1
10 14
11 91
12 3
13 22
14 13
15 26
16 296
17 2
18 14
19 24
20 7

About Takako Saeki

Takako Saeki is a scholar working on Rheumatology, Nephrology and Epidemiology, having authored 88 papers that have together received 2.6k indexed citations. Recurring topics across this work include IgG4-Related and Inflammatory Diseases (49 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (28 papers) and Neuroendocrine Tumor Research Advances (21 papers). The work is most often cited by research in Rheumatology (2.1k citations), Nephrology (338 citations) and Epidemiology (1.3k citations). Takako Saeki has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Mitsuhiro Kawano, Hajime Yamazaki, Shinichi Nishi, Tomoyuki Ito, Hitoshi Nakashima, Hisanori Umehara, Naofumi Imai, Motohisa Yamamoto, Dai Inoue and Ichiei Narita. Their work appears in journals such as Kidney International, Journal of Allergy and Clinical Immunology and Frontiers in Immunology.

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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