M Makimura

470 citations
11 papers · 368 · h-index 5

Impact in

Papers in

M Makimura

11 papers receiving 333 citations

Peers

M Makimura
Comparison fields: 5 of 82
  • Periodontics 119
  • Small Animals 47
  • Biochemistry 36
  • Pathology and Forensic Medicine 102
  • Orthodontics 23
Replace Yumi Nishihara with:
Yumi Nishihara Japan
Haruka Fukamachi Japan
Genevieve M. Forster United States
Celina Torre Spain
H. NISHIMURA Japan
Laetitia Rodes Canada
C D Wu-Yuan United States
Haruyuki Oshima Japan
Jorge Kleber Chavasco Brazil
A Izumitani Japan
M Makimura relative to Yumi Nishihara Japan Yumi Nishihara's profile →
Citations per field
00.5×1.5×
Yumi Nishihara · 1×
Citations per year

Countries citing papers authored by M Makimura

Since Specialization
Citations

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

Fields of papers citing papers by M Makimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside M Makimura, 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 M Makimura Line = papers co-authored together M Makimura links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1991221
2 199191
3 199220
4 200816
5 200410
6 19934
7
[Characterization of opioid receptor from bullfrog brain].
19882
8
Developmental changes in potassium-dependent phosphatase in rat submandibular gland.
19751
9
Kappa-opioid agonists do not inhibit adenylate cyclase.
19891
10
[Mitogenic activity of lipopolysaccharide from Bacteroides intermedius against C3H/HeJ mice spleen cells].
19901
11
[IgG, IgA and IgM serum antibodies against lipopolysaccharide from Bacteroides intermedius in periodontal health and disease].
19891

About M Makimura

M Makimura is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Periodontics, Physiology and Small Animals, having authored 11 papers that have together received 368 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (3 papers), Oral microbiology and periodontitis research (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Salivary Gland Disorders and Functions (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Pain Mechanisms and Treatments (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Periodontics (119 citations), Small Animals (47 citations), Biochemistry (36 citations), Pathology and Forensic Medicine (102 citations) and Orthodontics (23 citations). M Makimura has collaborated with scholars based in Japan and United States. Frequent co-authors include Masatomo Hirasawa, Shigeo Otake, Yumi Nishihara, Tatsuya Kuroki, Hajime Hatta, Takehiko Yamamoto, Beth Hoskins, I.K. Ho, Tohru Hayakawa and Kazuhide Takada. Their work appears in journals such as Journal of Dental Research, Biological and Pharmaceutical Bulletin, Caries Research, Journal of Periodontal Research and Pharmacology Biochemistry and Behavior.

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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