Kento Nishida

793 citations
31 papers · 629 · h-index 16

Impact in

  • Nephrology top 5%
    • Dialysis and Renal Disease Management
    • Acute Kidney Injury Research
    • Mesenchymal stem cell research

Papers in

    • Heme Oxygenase-1 and Carbon Monoxide 4
    • Redox biology and oxidative stress 4
    • Chronic Kidney Disease and Diabetes 2
    • Dialysis and Renal Disease Management 2
    • Acute Kidney Injury Research 2

Kento Nishida

31 papers receiving 624 citations

Peers

Kento Nishida
Comparison fields: 5 of 89
  • Nephrology 114
  • Genetics 53
  • Cell Biology 60
  • Physiology 87
  • Urology 20
Replace Diana Zepeda‐Orozco with:
Diana Zepeda‐Orozco United States
Jose L. Viñas Canada
Congwei Luo China
Kazuya Miyashita Japan
Kristin M. Burkhart United States
Jinzhuo Ning China
Gerit Theil Germany
Yuanjian Chen United States
Yijie Liu China
Yuansheng Xie China
Kento Nishida relative to Diana Zepeda‐Orozco United States Diana Zepeda‐Orozco's profile →
Citations per field
00.5×2.9×
Diana Zepeda‐Orozco · 1×
Citations per year

Countries citing papers authored by Kento Nishida

Since Specialization
Citations

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

Fields of papers citing papers by Kento Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017123
2 201846
3 201541
4 201639
5 202037
6 201831
7 201828
8 202028
9 201727
10 201824
11 201923
12 201721
13 202018
14 202015
15 202115
16 202015
17 201915
18 202215
19 202112
20 201712

About Kento Nishida

Kento Nishida is a scholar working on Molecular Biology, Nephrology, Surgery, Organic Chemistry and Pathology and Forensic Medicine, having authored 31 papers that have together received 629 indexed citations. Recurring topics across this work include Heme Oxygenase-1 and Carbon Monoxide (4 papers), Redox biology and oxidative stress (4 papers), Muscle and Compartmental Disorders (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Neonatal Health and Biochemistry (2 papers), Dialysis and Renal Disease Management (2 papers), Macrophage Migration Inhibitory Factor (2 papers) and Acute Kidney Injury Research (2 papers). The work is most often cited by research in Nephrology (114 citations), Genetics (53 citations), Cell Biology (60 citations), Physiology (87 citations) and Urology (20 citations). Kento Nishida has collaborated with scholars based in Japan, Malaysia and Australia. Frequent co-authors include Hiroshi Watanabe, Masaki Otagiri, Yu Ishima, Toru Maruyama, Tadashi Imafuku, Masafumi Fukagawa, Hitoshi Maeda, Kazutaka Matsushita, Motoko Tanaka and Yuki Enoki. Their work appears in journals such as Scientific Reports, Stem Cell Research & Therapy, Journal of Controlled Release, Pharmaceutics and Kidney International.

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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