K Niimi

832 citations
9 papers · 613 · h-index 6

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion

Papers in

K Niimi

9 papers receiving 612 citations

Peers

K Niimi
Comparison fields: 5 of 66
  • Physiology 61
  • Cell Biology 201
  • Epidemiology 320
  • Parasitology 42
  • Plant Science 184
Replace Mira Polajnar with:
Mira Polajnar Slovenia
Steven K. Backues United States
Chika Kondo Japan
Michele Wolfe Bianchi France
Clinton R. Bartholomew United States
Vidhya Ramachandran United States
Hiroyuki Mukaiyama Japan
Sandra Díaz‐Troya Spain
Manuéla Kárpáti Hungary
Zhaoyu Wang China
K Niimi relative to Mira Polajnar Slovenia Mira Polajnar's profile →
Citations per field
00.5×3.9×
Mira Polajnar · 1×
Citations per year

Countries citing papers authored by K Niimi

Since Specialization
Citations

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

Fields of papers citing papers by K Niimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2008257
2 2008115
3 200980
4 201177
5 201470
6
Expression of prorenin receptor in renal biopsies from patients with IgA nephropathy.
20148
7 20243
8
[The correlation between diabetic retinopathy and serum lipoperoxide].
19852
9
[A case of systemic lupus erythematosus associated with meningitis, myelitis, and bilateral optic neuritis].
19891

About K Niimi

K Niimi is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Plant Science and Nephrology, having authored 9 papers that have together received 613 indexed citations. Recurring topics across this work include Plant nutrient uptake and metabolism (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Cellular transport and secretion (2 papers), Autophagy in Disease and Therapy (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Renal Diseases and Glomerulopathies (1 paper), Animal Genetics and Reproduction (1 paper) and Lysosomal Storage Disorders Research (1 paper). The work is most often cited by research in Physiology (61 citations), Cell Biology (201 citations), Epidemiology (320 citations), Parasitology (42 citations) and Plant Science (184 citations). K Niimi has collaborated with scholars based in Japan, Germany and Denmark. Frequent co-authors include Keisuke Obara, Yoshinori Ohsumi, Takayuki Sekito, Takeshi Noda, Norio Suganuma, Hiroshi Kouchi, Yasukazu Nakamura, Shusei Sato, Tsuneo Hakoyama and Masayoshi Kawaguchi. Their work appears in journals such as Journal of Biological Chemistry, Nature, Nature Cell Biology, Plant and Cell Physiology and Nature 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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