Jun Mukai

3.1k citations
48 papers · 2.4k · h-index 24

Impact in

Papers in

    • Congenital heart defects research 9
    • Biochemical and Molecular Research 7
    • Receptor Mechanisms and Signaling 6
    • Cell death mechanisms and regulation 5
    • RNA Interference and Gene Delivery 4
    • ATP Synthase and ATPases Research 4
    • Neuropeptides and Animal Physiology 7

Jun Mukai

48 papers receiving 2.3k citations

Peers

Jun Mukai
Comparison fields: 5 of 103
  • Cellular and Molecular Neuroscience 807
  • Developmental Neuroscience 152
  • Molecular Biology 1.5k
  • Biological Psychiatry 48
  • Genetics 519
Replace Rosanna Parlato with:
Rosanna Parlato Germany
Mary Elizabeth Bach United States
Douglas W. Ethell United States
Shoaib Chowdhury United States
Isabelle M. Mansuy Switzerland
Sayaka Takemoto‐Kimura Japan
Khanhky Phamluong United States
Robin J. Kleiman United States
Daniah Trabzuni United Kingdom
Jun Mukai relative to Rosanna Parlato Germany Rosanna Parlato's profile →
Citations per field
00.5×1.5×1.8×
Rosanna Parlato · 1×
Citations per year

Countries citing papers authored by Jun Mukai

Since Specialization
Citations

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

Fields of papers citing papers by Jun Mukai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004249
2 2008211
3 2005201
4 2000165
5 2011161
6 2015132
7 2011131
8 2016123
9 2010104
10 2007100
11 201390
12 201984
13 201681
14 199968
15 200752
16 200044
17 200237
18 199737
19 200134
20 201730

About Jun Mukai

Jun Mukai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Social Psychology and Immunology, having authored 48 papers that have together received 2.4k indexed citations. Recurring topics across this work include Congenital heart defects research (9 papers), Biochemical and Molecular Research (7 papers), Neuropeptides and Animal Physiology (7 papers), Receptor Mechanisms and Signaling (6 papers), Social Robot Interaction and HRI (5 papers), Cell death mechanisms and regulation (5 papers), RNA Interference and Gene Delivery (4 papers) and ATP Synthase and ATPases Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (807 citations), Developmental Neuroscience (152 citations), Molecular Biology (1.5k citations), Biological Psychiatry (48 citations) and Genetics (519 citations). Jun Mukai has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Joseph A. Gogos, Maria Karayiorgou, Amy B. MacDermott, Maria Karayiorgou, Wen‐Sung Lai, Liam Drew, Bin Xu, Karine Fénelon, Kimberly L. Stark and Luxiang Cao. Their work appears in journals such as Neuron, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Nature Neuroscience and International Journal of Cancer.

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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