M. Mitsu Suyemoto

2.4k citations
50 papers · 1.9k indexed · h-index 23
Topics
Salmonella and Campylobacter epidemiology (15 papers)Antimicrobial Resistance in Staphylococcus (11 papers)Streptococcal Infections and Treatments (8 papers)

In The Last Decade

M. Mitsu Suyemoto

49 papers receiving 1.9k citations

Peers

M. Mitsu Suyemoto
Comparison fields: 5 of 102
  • Food Science 691
  • Molecular Biology 689
  • Endocrinology 502
  • Infectious Diseases 494
  • Genetics 414
Replace Ikuo Uchida with:
Ikuo Uchida Japan
Douglas M. Heithoff United States
Benita Westerlund‐Wikström Finland
Nick Dorrell United Kingdom
Alina Wieliczko Poland
Dieter M. Schifferli United States
Paul Everest United Kingdom
Robert J. Yancey United States
Subhashinie Kariyawasam United States
Andrey V. Karlyshev United Kingdom
M. Mitsu Suyemoto relative to Ikuo Uchida Japan Ikuo Uchida's profile →
Citations per field
00.5×1.5×2.2×
Ikuo Uchida · 1×
Citations per year

Countries citing papers authored by M. Mitsu Suyemoto

Since Specialization
Citations

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

Fields of papers citing papers by M. Mitsu Suyemoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Mitsu Suyemoto

This figure shows the co-authorship network connecting the top 25 collaborators of M. Mitsu Suyemoto. A scholar is included among the top collaborators of M. Mitsu Suyemoto 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. Mitsu Suyemoto. M. Mitsu Suyemoto 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 6
4 4
5 68
6 46
7 6
8 2
9 52
10 174
11 154
12 8
13 32
14 20
15 16
16 2
17 22
18 21
19 48
20 34

About M. Mitsu Suyemoto

M. Mitsu Suyemoto is a scholar working on Endocrinology, Microbiology and Food Science, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (15 papers), Antimicrobial Resistance in Staphylococcus (11 papers) and Streptococcal Infections and Treatments (8 papers). The work is most often cited by research in Endocrinology (502 citations), Food Science (691 citations) and Microbiology (181 citations). M. Mitsu Suyemoto has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Craig Altier, Sara D. Lawhon, Russell Maurer, Luke B. Borst, H. John Barnes, Fred D. Sack, A. C. Leopold, Jonathan G. Frye, Steffen Porwollik and Michael McClelland. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Applied and Environmental Microbiology.

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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