Sumika Ohyama

702 citations
20 papers · 598 indexed · h-index 15
Topics
Pancreatic function and diabetes (14 papers)Metabolism, Diabetes, and Cancer (11 papers)Diabetes Treatment and Management (6 papers)
Partner nations
JapanUnited States

In The Last Decade

Sumika Ohyama

19 papers receiving 570 citations

Peers

Sumika Ohyama
Comparison fields: 5 of 61
  • Molecular Biology 374
  • Surgery 358
  • Endocrinology, Diabetes and Metabolism 227
  • Organic Chemistry 109
  • Physiology 66
Replace Wijnand J. C. van der Velden with:
Wijnand J. C. van der Velden Denmark
Thomas B. Farb United States
J Camus Belgium
A. Sener Belgium
William Low United States
Morten Schlein Denmark
Leelee Ng Australia
Nathaniel Wallace United States
Ryan P. Trump United States
Wensheng Lang United States
Sumika Ohyama relative to Wijnand J. C. van der Velden Denmark Wijnand J. C. van der Velden's profile →
Citations per field
00.5×7.3×
Wijnand J. C. van der Velden · 1×
Citations per year

Countries citing papers authored by Sumika Ohyama

Since Specialization
Citations

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

Fields of papers citing papers by Sumika Ohyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumika Ohyama

This figure shows the co-authorship network connecting the top 25 collaborators of Sumika Ohyama. A scholar is included among the top collaborators of Sumika Ohyama 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 Sumika Ohyama. Sumika Ohyama 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 11
2 27
3 34
4 25
5 13
6 0
7 18
8 46
9 16
10 55
11 33
12 30
13 45
14 38
15 38
16 53
17 6
18 86
19 7
20 17

About Sumika Ohyama

Sumika Ohyama is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Endocrine and Autonomic Systems, having authored 20 papers that have together received 598 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (14 papers), Metabolism, Diabetes, and Cancer (11 papers) and Diabetes Treatment and Management (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (227 citations), Surgery (358 citations) and Endocrine and Autonomic Systems (37 citations). Sumika Ohyama has collaborated with scholars based in Japan and United States. Frequent co-authors include Jun‐ichi Eiki, T. Nishimura, Yasufumi Nagata, Hideka Hosaka, Kaori Sasaki, Tomoharu Iino, Kenji Kamata, Mayumi Futamura, Masato Chiba and Katsutaka Oishi. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical and Biophysical Research Communications.

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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