S. Makino

1.3k citations
29 papers · 1.1k indexed · h-index 12
Topics
Diabetes and associated disorders (8 papers)Pancreatic function and diabetes (5 papers)Immune Cell Function and Interaction (4 papers)

In The Last Decade

S. Makino

29 papers receiving 1.0k citations

Peers

S. Makino
Comparison fields: 5 of 87
  • Genetics 671
  • Surgery 457
  • Immunology 418
  • Endocrinology, Diabetes and Metabolism 262
  • Molecular Biology 158
Replace Philip E. Dubé with:
Philip E. Dubé United States
V. E. Eysselein United States
K.T. Lee United States
Tomomi Inoue Japan
Erin Bonkowski United States
Okmi Choi United States
Song Ren Canada
Agnieszka D. Truax United States
Xi Jia China
Soonil Kwon South Korea
S. Makino relative to Philip E. Dubé United States Philip E. Dubé's profile →
Citations per field
00.5×3.6×
Philip E. Dubé · 1×
Citations per year

Countries citing papers authored by S. Makino

Since Specialization
Citations

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

Fields of papers citing papers by S. Makino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Makino

This figure shows the co-authorship network connecting the top 25 collaborators of S. Makino. A scholar is included among the top collaborators of S. Makino 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 S. Makino. S. Makino 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 27
2 17
3
[Genetic analysis of IDDM in NOD mice].
1
4 3
5 3
6 76
7 7
8 5
9 4
10
[Antigen-induced biphasic eosinophil infiltration in the airways of actively sensitized guinea pigs and its inhibition by PAF antagonist and cyclosporin A].
4
11 1
12 5
13 43
14
L-gulono-gamma-lactone oxidase deficiency in rats with osteogenic disorder: enzymological and immunochemical studies.
6
15 63
16 6
17 98
18 189
19 8
20 8

About S. Makino

S. Makino is a scholar working on Genetics, Immunology and Endocrinology, Diabetes and Metabolism, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes and associated disorders (8 papers), Pancreatic function and diabetes (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Genetics (671 citations), Immunology (418 citations) and Endocrinology, Diabetes and Metabolism (262 citations). S. Makino has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Minoru Harada, George S. Eisenbarth, Masakazu Hattori, Martin E. Dorf, William M. Strauss, Manabu Minami, Hideshi Kuzuya, J.G. Seidman, Kenta Moriwaki and Laurie H. Glimcher. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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