Eisei Noiri

12.4k total citations
205 papers, 8.2k citations indexed

About

Eisei Noiri is a scholar working on Nephrology, Molecular Biology and Epidemiology. According to data from OpenAlex, Eisei Noiri has authored 205 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Nephrology, 56 papers in Molecular Biology and 27 papers in Epidemiology. Recurrent topics in Eisei Noiri's work include Acute Kidney Injury Research (65 papers), Chronic Kidney Disease and Diabetes (26 papers) and Sepsis Diagnosis and Treatment (21 papers). Eisei Noiri is often cited by papers focused on Acute Kidney Injury Research (65 papers), Chronic Kidney Disease and Diabetes (26 papers) and Sepsis Diagnosis and Treatment (21 papers). Eisei Noiri collaborates with scholars based in Japan, United States and United Kingdom. Eisei Noiri's co-authors include Michael S. Goligorsky, Kent Doi, Toshiro Fujita, Sergey V. Brodsky, Takeshi Sugaya, Masaomi Nangaku, Akihide Nakao, Kousuke Negishi, Yoshifumi Hamasaki and Tatyana Peresleni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Eisei Noiri

198 papers receiving 8.1k citations

Peers

Eisei Noiri
Comparison fields: 5 of 144
  • Nephrology 3.2k
  • Molecular Biology 2.1k
  • Physiology 1.2k
  • Surgery 1.1k
  • Epidemiology 1.0k
Replace Peter S.T. Yuen with:
Peter S.T. Yuen United States
Seymour Rosen United States
Kent Doi Japan
Samuel N. Heyman Israel
Manjeri A. Venkatachalam United States
Hermann Pavenstädt Germany
Pravin C. Singhal United States
Börje Haraldsson Sweden
Bernhard F. Becker Germany
Bryan D. Myers United States
Peter S.T. Yuen United States View profile →
Citations per field, relative to Eisei Noiri
Eisei Noiri · 1×
Citations per year, relative to Eisei Noiri
Eisei Noiri · 1×

Countries citing papers authored by Eisei Noiri

Since Specialization
Citations

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

Fields of papers citing papers by Eisei Noiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eisei Noiri

This figure shows the co-authorship network connecting the top 25 collaborators of Eisei Noiri. A scholar is included among the top collaborators of Eisei Noiri 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 Eisei Noiri. Eisei Noiri 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 1
2 31
3 4
4 62
5 25
6 33
7 26
8 68
9 292
10 32
11 61
12 17
13 16
14 134
15 3
16 89
17 242
18 8
19 284
20 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026