Kamon Sanada

2.5k citations
41 papers · 2.0k · h-index 24

Impact in

Papers in

Kamon Sanada

41 papers receiving 2.0k citations

Peers

Kamon Sanada
Comparison fields: 5 of 101
  • Developmental Neuroscience 468
  • Aging 173
  • Endocrine and Autonomic Systems 481
  • Cell Biology 557
  • Cellular and Molecular Neuroscience 618
Replace Olga Varlamova with:
Olga Varlamova United States
Makoto Sanbo Japan
Anthony P. Barnes United States
Toshifumi Tomoda United States
Fu‐Chia Yang United States
Seung Kwak United States
Michael Wyszynski United States
Michael Rickmann Germany
Henry Tomasiewicz United States
Masasuke Araki Japan
Kamon Sanada relative to Olga Varlamova United States Olga Varlamova's profile →
Citations per field
00.5×3.4×
Olga Varlamova · 1×
Citations per year

Countries citing papers authored by Kamon Sanada

Since Specialization
Citations

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

Fields of papers citing papers by Kamon Sanada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003239
2 2005221
3 2007135
4 2004127
5 2002115
6 2010115
7 2006114
8 200387
9 200783
10 200478
11 200070
12 200454
13 201053
14 200851
15 201345
16 200842
17 201542
18 200339
19 200133
20 201331

About Kamon Sanada

Kamon Sanada is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Cell Biology and Developmental Neuroscience, having authored 41 papers that have together received 2.0k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (11 papers), Microtubule and mitosis dynamics (9 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Photoreceptor and optogenetics research (6 papers), Axon Guidance and Neuronal Signaling (5 papers), Retinal Development and Disorders (5 papers) and Down syndrome and intellectual disability research (4 papers). The work is most often cited by research in Developmental Neuroscience (468 citations), Aging (173 citations), Endocrine and Autonomic Systems (481 citations), Cell Biology (557 citations) and Cellular and Molecular Neuroscience (618 citations). Kamon Sanada has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Li‐Huei Tsai, Yoshitaka Fukada, Nobuhiro Kurabayashi, Zhigang Xie, Minh Dang Nguyen, Amitabh Gupta, Toshiyuki Okano, Benjamin A. Samuels, Heather H. Shih and Li-Huei Tsai. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience, Development, Neuron and Scientific Reports.

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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