Michio Niinobe

5.3k citations
64 papers · 4.7k indexed · 1 hit paper · h-index 33
Topics
Cellular transport and secretion (12 papers)Neuroscience and Neuropharmacology Research (8 papers)Peptidase Inhibition and Analysis (7 papers)

In The Last Decade

Michio Niinobe

63 papers receiving 4.6k citations

Hit Papers

‘Ischemic tolerance’ phenomenon found in the brain19902026200220141990250500750

Peers

Michio Niinobe
Comparison fields: 5 of 116
  • Molecular Biology 3.0k
  • Cell Biology 1.3k
  • Cellular and Molecular Neuroscience 1.3k
  • Physiology 700
  • Developmental Neuroscience 514
Replace Hiroyuki Sakagami with:
Hiroyuki Sakagami Japan
Laura Conforti United States
Joan X. Comella Spain
Michal Hetman United States
Eiichiro Nagata Japan
Henryk Dudek United States
James W. Gurd Canada
Frank Gillardon Germany
Takayuki Harada Japan
Ronit Pinkas‐Kramarski Israel
Michio Niinobe relative to Hiroyuki Sakagami Japan Hiroyuki Sakagami's profile →
Citations per field
00.5×1.5×
Hiroyuki Sakagami · 1×
Citations per year

Countries citing papers authored by Michio Niinobe

Since Specialization
Citations

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

Fields of papers citing papers by Michio Niinobe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michio Niinobe

This figure shows the co-authorship network connecting the top 25 collaborators of Michio Niinobe. A scholar is included among the top collaborators of Michio Niinobe 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 Michio Niinobe. Michio Niinobe 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
#WorkIndexed citations
1 32
2 180
3 68
4 81
5 76
6 56
7 36
8 163
9 10
10 40
11 35
12 32
13 127
14 51
15 5
16 7
17 182
18 136
19 134
20 4

About Michio Niinobe

Michio Niinobe is a scholar working on Cell Biology, Developmental Neuroscience and Immunology and Allergy, having authored 64 papers that have together received 4.7k indexed citations. Recurring topics across this work include Cellular transport and secretion (12 papers), Neuroscience and Neuropharmacology Research (8 papers) and Peptidase Inhibition and Analysis (7 papers). The work is most often cited by research in Developmental Neuroscience (514 citations), Cell Biology (1.3k citations) and Cellular and Molecular Neuroscience (1.3k citations). Michio Niinobe has collaborated with scholars based in Japan, United States and Ukraine. Frequent co-authors include Katsuhiko Mikoshiba, Nobuaki Maeda, Mitsunori Fukuda, Ryuji Hata, Kazuo Kitagawa, Kazufumi Kimura, Ryuzo Fukunaga, Masayasu Matsumoto, Kazuaki Yoshikawa and Masafumi Tagaya. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

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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