M Machino

433 total citations
49 papers, 369 citations indexed

About

M Machino is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, M Machino has authored 49 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Surgery and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in M Machino's work include Hearing, Cochlea, Tinnitus, Genetics (6 papers), Pancreatic function and diabetes (5 papers) and Glycosylation and Glycoproteins Research (3 papers). M Machino is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (6 papers), Pancreatic function and diabetes (5 papers) and Glycosylation and Glycoproteins Research (3 papers). M Machino collaborates with scholars based in Japan, Canada and United States. M Machino's co-authors include Hisao Fujita, Hiroyuki Morioka, Osamu Mizukoshi, M. Tachibana, Hiroshi Sakuma, Masayoshi Tachibana, Hitoshi Saitô, H. Fujita, Takashi Tsuruoka and Tohru Yoshioka and has published in prestigious journals such as Nature, The Journal of Cell Biology and Experimental Cell Research.

In The Last Decade

M Machino

47 papers receiving 340 citations

Peers

M Machino
Comparison fields: 5 of 87
  • Molecular Biology 144
  • Surgery 78
  • Sensory Systems 65
  • Physiology 57
  • Neurology 48
Wolfgang K�hnel Germany
J. A. Groot Netherlands
Helga Pfannkuche Germany
Eveline P. C. T. de Rijk Netherlands
Takao Setoguti Japan
Harriet T. Gagné United States
GJ Dockray United Kingdom
C. W. Turner United States
G. Beaty Mexico
Diamond Jm
Wolfgang K�hnel Germany View profile →
Citations per field, relative to M Machino
M Machino · 1×
Citations per year, relative to M Machino
M Machino · 1×

Countries citing papers authored by M Machino

Since Specialization
Citations

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

Fields of papers citing papers by M Machino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Machino

This figure shows the co-authorship network connecting the top 25 collaborators of M Machino. A scholar is included among the top collaborators of M Machino 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 M Machino. M Machino 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
# Work Indexed citations
1 9
2 9
3 9
4 5
5 2
6 10
7
[Postnatal differentiation of masticatory organs in developing mice (I). Study on muscle fiber differentiation of M. masseter superficialis].
2
8
[Carcinoembryonic antigen in liver diseases--elevated CEA levels and liver diseases with alcohol abuse (author's transl)].
2
9 1
10 2
11 2
12 3
13 26
14 0
15 7
16 14
17 32
18 35
19 7
20 8

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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