Hideto Sakai

6.7k total citations
238 papers, 5.0k citations indexed

About

Hideto Sakai is a scholar working on Nephrology, Immunology and Rheumatology. According to data from OpenAlex, Hideto Sakai has authored 238 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Nephrology, 46 papers in Immunology and 39 papers in Rheumatology. Recurrent topics in Hideto Sakai's work include Renal Diseases and Glomerulopathies (130 papers), Chronic Kidney Disease and Diabetes (31 papers) and Systemic Lupus Erythematosus Research (27 papers). Hideto Sakai is often cited by papers focused on Renal Diseases and Glomerulopathies (130 papers), Chronic Kidney Disease and Diabetes (31 papers) and Systemic Lupus Erythematosus Research (27 papers). Hideto Sakai collaborates with scholars based in Japan, United States and Australia. Hideto Sakai's co-authors include Yasuo Nomoto, Yasuhiko Tomino, Kiyoshi Kurokawa, Masayuki Endoh, Mitsuhiro Endoh, Toshio Miyata, Mitsunori Yagame, Daisuke Suzuki, Masahiko Miura and S Arimori and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Journal of Clinical Investigation.

In The Last Decade

Hideto Sakai

226 papers receiving 4.8k citations

Peers

Hideto Sakai
Comparison fields: 5 of 131
  • Nephrology 2.6k
  • Molecular Biology 1.1k
  • Immunology 930
  • Pulmonary and Respiratory Medicine 695
  • Pathology and Forensic Medicine 693
Replace Tullio Bertani with:
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Hikaru Koide Japan
J Bariéty France
Sergio Mezzano Chile
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W. Kline Bolton United States
Alessia Fornoni United States
Patrick D. Walker United States
Zac Varghese United Kingdom
Zhaohui Ni China
Tullio Bertani Italy View profile →
Citations per field, relative to Hideto Sakai
Hideto Sakai · 1×
Citations per year, relative to Hideto Sakai
Hideto Sakai · 1×

Countries citing papers authored by Hideto Sakai

Since Specialization
Citations

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

Fields of papers citing papers by Hideto Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideto Sakai

This figure shows the co-authorship network connecting the top 25 collaborators of Hideto Sakai. A scholar is included among the top collaborators of Hideto Sakai 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 Hideto Sakai. Hideto Sakai 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
# Work Indexed citations
1 5
2
0
3 32
4 128
5
[Guidelines for the management of refractory nephrotic syndrome--from investigations between 1997 and 2001--research project team for progressive renal lesions in the Ministry of Health, Labor and Welfare, Japan].
3
6 127
7 37
8 45
9 40
10 128
11 120
12 62
13 364
14 2
15 0
16 143
17 16
18 29
19 8
20
Simple Microassay of Urinary Protein using a Membrane Filter
1

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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