Naoki Morito

2.5k citations
55 papers · 2.1k · h-index 21

Impact in

  • Nephrology top 5%
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways

Papers in

    • Renal Diseases and Glomerulopathies 11
    • Chronic Kidney Disease and Diabetes 5
    • T-cell and B-cell Immunology 5

Naoki Morito

53 papers receiving 2.1k citations

Peers

Naoki Morito
Comparison fields: 5 of 110
  • Nephrology 172
  • Immunology 376
  • Molecular Biology 1.1k
  • Genetics 322
  • Surgery 455
Replace Jan Fleckner with:
Jan Fleckner Denmark
Mari Ishida Japan
Atsuko Nakatsuka Japan
Martin Kömhoff Germany
Theodore C. Simon United States
Rikio Yoshimura Japan
Elisabeth I. Wallner United States
Wai Han Yiu Hong Kong
Yumi Takiyama Japan
Naohiro Yano United States
Naoki Morito relative to Jan Fleckner Denmark Jan Fleckner's profile →
Citations per field
00.5×1.5×2.2×
Jan Fleckner · 1×
Citations per year

Countries citing papers authored by Naoki Morito

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Morito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005402
2 2001318
3 2008184
4 2006182
5 2003104
6 200373
7 200669
8 201262
9 201854
10 201046
11 200746
12 200742
13 201140
14 201438
15 200936
16 201435
17 200330
18 200429
19 201327
20 201426

About Naoki Morito

Naoki Morito is a scholar working on Nephrology, Immunology, Genetics, Pathology and Forensic Medicine and Molecular Biology, having authored 55 papers that have together received 2.1k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (11 papers), Chronic Kidney Disease and Diabetes (5 papers), Pancreatic function and diabetes (5 papers), Genomics, phytochemicals, and oxidative stress (5 papers), T-cell and B-cell Immunology (5 papers), Genetic and Kidney Cyst Diseases (4 papers), Diabetes and associated disorders (3 papers) and Vasculitis and related conditions (3 papers). The work is most often cited by research in Nephrology (172 citations), Immunology (376 citations), Molecular Biology (1.1k citations), Genetics (322 citations) and Surgery (455 citations). Naoki Morito has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Satoru Takahashi, Masayuki Yamamoto, Keigyou Yoh, Ken Itoh, Aki Hirayama, Akio Kôyama, Homare Shimohata, Michito Hamada, Takashi Moriguchi and Takashi Kudo. Their work appears in journals such as Kidney International, The Journal of Immunology, Journal of the American Society of Nephrology, Biochemical and Biophysical Research Communications and EXPERIMENTAL ANIMALS.

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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