Jun Maki

1.6k citations
83 papers · 960 · h-index 16

Impact in

    • Oral microbiology and periodontitis research
  • Biophysics top 5%
    • Electron Spin Resonance Studies

Papers in

    • Parasite Biology and Host Interactions 15
    • Helminth infection and control 11

Jun Maki

79 papers receiving 901 citations

Peers

Jun Maki
Comparison fields: 5 of 126
  • Periodontics 112
  • Biophysics 79
  • Parasitology 80
  • Small Animals 84
  • Electronic, Optical and Magnetic Materials 156
Replace Walter R. Perkins with:
Walter R. Perkins United States
Alan R. Brown United States
Jörg Howe Germany
Prem P. Chapagain United States
Patrizia Pasini United States
John P. Hennessey United States
Lawrence E. Wolinsky United States
Randy J. Arnold United States
Soyoung Lee South Korea
Jun Maki relative to Walter R. Perkins United States Walter R. Perkins's profile →
Citations per field
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Walter R. Perkins · 1×
Citations per year

Countries citing papers authored by Jun Maki

Since Specialization
Citations

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

Fields of papers citing papers by Jun Maki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Missing teeth and ischaemic heart disease in men aged 45-64 years.
1993133
2 199887
3 199385
4 199268
5 200258
6 199329
7 198228
8 200427
9 198626
10 198023
11 201422
12 199322
13 200221
14 200519
15 201016
16 198315
17 198615
18 201014
19 202212
20 201412

About Jun Maki

Jun Maki is a scholar working on Ecology, Small Animals, Atomic and Molecular Physics, and Optics, Parasitology and Insect Science, having authored 83 papers that have together received 960 indexed citations. Recurring topics across this work include Parasite Biology and Host Interactions (15 papers), Helminth infection and control (11 papers), Advanced Chemical Physics Studies (10 papers), Parasites and Host Interactions (8 papers), Mollusks and Parasites Studies (7 papers), Parasitic Diseases Research and Treatment (5 papers), Magnetism in coordination complexes (4 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Periodontics (112 citations), Biophysics (79 citations), Parasitology (80 citations), Small Animals (84 citations) and Electronic, Optical and Magnetic Materials (156 citations). Jun Maki has collaborated with scholars based in Japan, United States and India. Frequent co-authors include K Paunio, Olli Impivaara, J. Tiekso, Tomoya Noro, Mitsutaka Okumura, Kizashi Yamaguchi, Armando Cáceres, Wasuke Mori, Isao Tada and Beatriz López. Their work appears in journals such as Journal of Helminthology, Parasitology, International Journal of Quantum Chemistry, Chemical Physics Letters and Journal of Parasitology.

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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