Ken‐ei Sada

3.5k citations
149 papers · 1.9k indexed · h-index 24

Impact in

    • Systemic Lupus Erythematosus Research
    • Otitis Media and Relapsing Polychondritis
  • Nephrology top 2%
    • Renal Diseases and Glomerulopathies

Papers in

Ken‐ei Sada

128 papers receiving 1.9k citations

Peers

Ken‐ei Sada
Comparison fields: 5 of 111
  • Rheumatology 716
  • Nephrology 270
  • Genetics 247
  • Pulmonary and Respiratory Medicine 736
  • Immunology 397
Replace Jolanta Dadonienė with:
Jolanta Dadonienė Lithuania
Gina Gregorini Italy
Alvise Berti Italy
Víctor M. Martínez‐Taboada Spain
Ömer Karadağ Türkiye
İhsan Ertenli Türkiye
Sara Monti Italy
David Carruthers United Kingdom
Miguel Reyes‐Múgica United States
Keita Fujikawa Japan
Ken‐ei Sada relative to Jolanta Dadonienė Lithuania Jolanta Dadonienė's profile →
Citations per field
00.5×7.7×
Jolanta Dadonienė · 1×
Citations per year

Countries citing papers authored by Ken‐ei Sada

Since Specialization
Citations

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

Fields of papers citing papers by Ken‐ei Sada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken‐ei Sada. 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 Ken‐ei Sada. The network helps show where Ken‐ei Sada may publish in the future.

Co-authors

The 25 scholars most cited alongside Ken‐ei Sada, 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 Ken‐ei Sada Line = papers co-authored together Ken‐ei Sada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014140
2 2010122
3
Altered levels of adipocytokines in association with insulin resistance in patients with systemic lupus erythematosus.
2006116
4 201075
5 201367
6 201555
7 201351
8 201051
9 201949
10 201543
11 201741
12 201539
13 200735
14 201634
15 201434
16 201731
17 201229
18 200929
19 201828
20 200928

About Ken‐ei Sada

Ken‐ei Sada is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine, Genetics, Immunology and Nephrology, having authored 149 papers that have together received 1.9k indexed citations. Recurring topics across this work include Vasculitis and related conditions (52 papers), Systemic Lupus Erythematosus Research (37 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (21 papers), Renal Diseases and Glomerulopathies (20 papers), Sarcoidosis and Beryllium Toxicity Research (13 papers), Eosinophilic Disorders and Syndromes (11 papers), Urticaria and Related Conditions (10 papers) and Atherosclerosis and Cardiovascular Diseases (9 papers). The work is most often cited by research in Rheumatology (716 citations), Nephrology (270 citations), Genetics (247 citations), Pulmonary and Respiratory Medicine (736 citations) and Immunology (397 citations). Ken‐ei Sada has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hirofumi Makino, Yoshihiro Arimura, Masahiro Yamamura, Takayuki Katsuyama, Yoshinori Matsumoto, Jun Wada, Masayoshi Harigai, Hitoshi Sugiyama, Haruki Watanabe and Yohei Maeshima. Their work appears in journals such as Modern Rheumatology, Arthritis Research & Therapy, PLoS ONE, The Journal of Rheumatology and Lupus.

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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