Mika Sasaki

6.1k citations
66 papers · 2.8k indexed · 1 hit paper · h-index 25
Topics
Pain Mechanisms and Treatments (21 papers)Neuropeptides and Animal Physiology (8 papers)Ion channel regulation and function (7 papers)
Partner nations
JapanUnited StatesPoland

In The Last Decade

Mika Sasaki

62 papers receiving 2.7k citations

Hit Papers

Multipotent Embryonic Isl1+ Progenitor Cells Lead to Card...20062026201220192006250500750

Peers

Mika Sasaki
Comparison fields: 5 of 127
  • Molecular Biology 1.4k
  • Surgery 722
  • Physiology 460
  • Oncology 398
  • Immunology 307
Replace Nunzia Bernardini with:
Nunzia Bernardini Italy
Uh‐Hyun Kim South Korea
Qi Xiang China
Yuri Kotelevtsev Russia
Yixin Zhang China
Lucia Lisi Italy
Margriet J. Vervoordeldonk Netherlands
Michael R. Garrett United States
Hee Kyung Jin South Korea
Mika Sasaki relative to Nunzia Bernardini Italy Nunzia Bernardini's profile →
Citations per field
00.5×1.5×1.8×
Nunzia Bernardini · 1×
Citations per year

Countries citing papers authored by Mika Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by Mika Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Sasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Mika Sasaki. A scholar is included among the top collaborators of Mika Sasaki 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 Mika Sasaki. Mika Sasaki 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 0
2 1
3 3
4 2
5 5
6 42
7 16
8 12
9 27
10 37
11 19
12 13
13 1
14 17
15 54
16 17
17 14
18 27
19 113
20 43

About Mika Sasaki

Mika Sasaki is a scholar working on Physiology, Sensory Systems and Endocrine and Autonomic Systems, having authored 66 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (21 papers), Neuropeptides and Animal Physiology (8 papers) and Ion channel regulation and function (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (168 citations), Molecular Biology (1.4k citations) and Physiology (460 citations). Mika Sasaki has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Atsuo T. Sasaki, Atsushi Nakano, Kenneth R. Chien, Akihiko Yoshimura, Yunfu Sun, Silvia Martı́n-Puig, Jason T. Lam, Alessandra Moretti, Alexandra Bernshausen and Karl‐Ludwig Laugwitz. Their work appears in journals such as Cell, Journal of Biological Chemistry and Journal of Neuroscience.

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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