Shu-ichi Ikeda

6.1k citations
42 papers · 3.1k indexed · 2 hit papers · h-index 24

Shu-ichi Ikeda

42 papers receiving 3.1k citations

Hit Papers

Amyloid fibril proteins and amyloidosis: chemical identif...4382013202620172021100200300400

Peers

Shu-ichi Ikeda
Comparison fields: 5 of 115
  • Nephrology 408
  • Molecular Biology 2.6k
  • Physiology 956
  • Cell Biology 550
  • Rheumatology 324
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

The 25 scholars most cited alongside Shu-ichi Ikeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shu-ichi Ikeda Line = papers co-authored together Shu-ichi Ikeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201426
2
Guideline of transthyretin-related hereditary amyloidosis for cliniciansbreakdown →
2013493
3 2013107
4 2012212
5 201210
6 201157
7 201016
8 2010243
9 200928
10 20074
11 2005248
12 200529
13 200436
14 20019
15 200112
16 1999142
17 199970
18 19992
19 19995
20 199942

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), Cellular transport and secretion (8 papers), Ion channel regulation and function (6 papers), Sarcoidosis and Beryllium Toxicity Research (4 papers), Genetic Neurodegenerative Diseases (4 papers), Peripheral Neuropathies and Disorders (3 papers) and Dermatological and Skeletal Disorders (3 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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