Takako Iwata

788 citations
41 papers · 580 indexed · h-index 15
Topics
Amyloidosis: Diagnosis, Treatment, Outcomes (16 papers)Medical Imaging and Pathology Studies (5 papers)Alzheimer's disease research and treatments (4 papers)
Partner nations
JapanSweden

In The Last Decade

Takako Iwata

38 papers receiving 560 citations

Peers

Takako Iwata
Comparison fields: 5 of 83
  • Molecular Biology 342
  • Epidemiology 128
  • Surgery 85
  • Oncology 83
  • Physiology 76
Replace Maria C. M. Bickerstaff with:
Maria C. M. Bickerstaff United Kingdom
Jao W United States
Kwang Hoon Lee South Korea
C. W. Jacobs Netherlands
Tsutomu Shinohara Japan
T J Lawley United States
Yoshinobu Shimizu Japan
G Moulin France
Nikolaos M. Nikolaidis United States
Takako Iwata relative to Maria C. M. Bickerstaff United Kingdom Maria C. M. Bickerstaff's profile →
Citations per field
00.5×1.5×2.5×
Maria C. M. Bickerstaff · 1×
Citations per year

Countries citing papers authored by Takako Iwata

Since Specialization
Citations

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

Fields of papers citing papers by Takako Iwata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takako Iwata

This figure shows the co-authorship network connecting the top 25 collaborators of Takako Iwata. A scholar is included among the top collaborators of Takako Iwata 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 Iwata. Takako Iwata 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 9
2 1
3 3
4 18
5 11
6 30
7 23
8 22
9 2
10 60
11 5
12 1
13 26
14 15
15
Outbreak of pertussis in a residential facility for handicapped people.
16
16 2
17 6
18 0
19 15
20 20

About Takako Iwata

Takako Iwata is a scholar working on Filtration and Separation, Epidemiology and Infectious Diseases, having authored 41 papers that have together received 580 indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (16 papers), Medical Imaging and Pathology Studies (5 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Nephrology (59 citations), Molecular Biology (342 citations) and Rheumatology (63 citations). Takako Iwata has collaborated with scholars based in Japan and Sweden. Frequent co-authors include Mutsuo Takahashi, Tokuhiro Ishihara, Junko Ueda, Fumiya Uchino, Tadaaki Yokota, Hiroo Kawano, Antti Oksanen, Henrik Gjertsen, Gabriel Nowak and B.‐G. Ericzon. Their work appears in journals such as Cancer, Journal of Agricultural and Food Chemistry and American Journal of Transplantation.

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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