Shu-ichi Ikeda

6.1k citations
42 papers · 3.1k indexed · 2 hit papers · h-index 24
Topics
Amyloidosis: Diagnosis, Treatment, Outcomes (23 papers)Alzheimer's disease research and treatments (10 papers)Cellular transport and secretion (8 papers)
Partner nations
JapanUnited StatesSweden

In The Last Decade

Shu-ichi Ikeda

42 papers receiving 3.1k citations

Hit Papers

Guideline of transthyretin-related hereditary amyloidosis...201320262017202120132016100200300400

Peers

Shu-ichi Ikeda
Comparison fields: 5 of 115
  • Molecular Biology 2.6k
  • Physiology 956
  • Cell Biology 550
  • Oncology 410
  • Nephrology 408
Replace Stanislav Kmoch with:
Stanislav Kmoch Czechia
Tina Garofalo Italy
Timothy Soos United States
Gang Ning United States
Maria Alice Donati Italy
Ben J. H. M. Poorthuis Netherlands
David B. Bregman United States
Joëlle Thillet France
Armen B. Shanafelt United States
Tsuranobu Shirahama United States
Shu-ichi Ikeda relative to Stanislav Kmoch Czechia Stanislav Kmoch's profile →
Citations per field
00.5×1.5×2.3×
Stanislav Kmoch · 1×
Citations per year

Countries citing papers authored by Shu-ichi Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Shu-ichi Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu-ichi Ikeda. 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 Shu-ichi Ikeda. The network helps show where Shu-ichi Ikeda may publish in the future.

Co-authorship network of co-authors of Shu-ichi Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Shu-ichi Ikeda. A scholar is included among the top collaborators of Shu-ichi Ikeda 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 Shu-ichi Ikeda. Shu-ichi Ikeda 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 26
2
Guideline of transthyretin-related hereditary amyloidosis for cliniciansbreakdown →
493
3 107
4 212
5 10
6 57
7 16
8 243
9 28
10 4
11 248
12 29
13 36
14 9
15 12
16 142
17 70
18 2
19 5
20 42

About Shu-ichi Ikeda

Shu-ichi Ikeda is a scholar working on Cell Biology, Physiology and Neurology, having authored 42 papers that have together received 3.1k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (23 papers), Alzheimer's disease research and treatments (10 papers) and Cellular transport and secretion (8 papers). The work is most often cited by research in Nephrology (408 citations), Molecular Biology (2.6k citations) and Physiology (956 citations). Shu-ichi Ikeda has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Merrill D. Benson, Giampaolo Merlini, Per Westermark, Maria João Saraiva, Joel N. Buxbaum, Jean D. Sipe, Yukio Ando, Gen Sobue, Blas Frangione and Colin L. Masters. Their work appears in journals such as Circulation, Brain and Neurology.

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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