Kazue Ueki

1.6k citations
43 papers · 1.2k indexed · h-index 17
    • Sulfur Compounds in Biology 4
  • Nephrology top 5%
    • Parathyroid Disorders and Treatments 5
    • Renal Diseases and Glomerulopathies 5
    • Dialysis and Renal Disease Management 5
  • Immunology top 10%
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
    • Systemic Lupus Erythematosus Research 3
  • Hematology top 10%
    • Cell Adhesion Molecules Research 4
    • Blood disorders and treatments 3

Kazue Ueki

42 papers receiving 1.2k citations

Peers

Kazue Ueki
Comparison fields: 5 of 108
  • Biochemistry 232
  • Nephrology 205
  • Immunology 405
  • Rheumatology 258
  • Hematology 124
Replace J P Kushner with:
J P Kushner United States
Daryl M. Okamura United States
Kateřina Kaňková Czechia
S Arimori Japan
Atsuo Nagata Japan
Kohsuke Masutani Japan
Michaela Jung Germany
Takatoshi Koyama Japan
Hanako Kobayashi United States
Kazue Ueki relative to J P Kushner United States J P Kushner's profile →
Citations per field
00.5×4.9×
J P Kushner · 1×
Citations per year

Countries citing papers authored by Kazue Ueki

Since Specialization
Citations

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

Fields of papers citing papers by Kazue Ueki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20203
3 201916
4 20109
5 201010
6 2005153
7 2005329
8 20051
9 200510
10 200516
11 200456
12 20043
13 200386
14 200213
15 200229
16 200122
17
Patients with IgA nephropathy whose renal function remains stable for a long time even after exceeding the "point of no return".
20003
18 200046
19 199910
20 199837

About Kazue Ueki

Kazue Ueki is a scholar working on Nephrology, Immunology and Allergy and Rheumatology, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (5 papers), Renal Diseases and Glomerulopathies (5 papers), Dialysis and Renal Disease Management (5 papers), Sulfur Compounds in Biology (4 papers), Cell Adhesion Molecules Research (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Blood disorders and treatments (3 papers) and Systemic Lupus Erythematosus Research (3 papers). The work is most often cited by research in Biochemistry (232 citations), Nephrology (205 citations) and Immunology (405 citations). Kazue Ueki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yoshihisa Nojima, Takashi Kuroiwa, Yoriaki Kaneko, Hidekazu Ikeuchi, Keiju Hiromura, Noriyuki Hiramatsu, Hideki Mitsuhashi, Shin Yamashita, Randall L. Kincaid and Akito Maeshima. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports and Biochemical and Biophysical Research Communications.

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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