Norimichi Iwama

1.2k citations
12 papers · 970 indexed · 1 hit paper · h-index 8
Topics
Pancreatic function and diabetes (4 papers)Diabetes Management and Research (4 papers)Diabetes and associated disorders (3 papers)
Partner nations
JapanUnited States

In The Last Decade

Norimichi Iwama

12 papers receiving 946 citations

Hit Papers

Interactions among members of the Bcl-2 protein family an...19942026200420151994100200300400500

Peers

Norimichi Iwama
Comparison fields: 5 of 90
  • Molecular Biology 655
  • Genetics 289
  • Oncology 214
  • Endocrinology, Diabetes and Metabolism 183
  • Immunology 132
Replace M. Carneiro with:
M. Carneiro Brazil
André Groyer France
Vishva M. Sharma United States
Roland K. Ball Switzerland
Deborah J. Guyot United States
Shannon L. Wyszomierski United States
Rosalba Moraca Italy
James W. DeWille United States
Barbara Gorgoni United Kingdom
John G. Shelton United States
Norimichi Iwama relative to M. Carneiro Brazil M. Carneiro's profile →
Citations per field
00.5×4.7×
M. Carneiro · 1×
Citations per year

Countries citing papers authored by Norimichi Iwama

Since Specialization
Citations

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

Fields of papers citing papers by Norimichi Iwama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norimichi Iwama

This figure shows the co-authorship network connecting the top 25 collaborators of Norimichi Iwama. A scholar is included among the top collaborators of Norimichi Iwama 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 Norimichi Iwama. Norimichi Iwama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1
Interactions among members of the Bcl-2 protein family analyzed with a yeast two-hybrid system.breakdown →
523
2 300
3 3
4 10
5
Dephosphorylation of the insulin receptor partially restores the decreased autophosphorylation in streptozotocin induced diabetic rats.
2
6 2
7 36
8 2
9 16
10 8
11 20
12 48

About Norimichi Iwama

Norimichi Iwama is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Obstetrics and Gynecology, having authored 12 papers that have together received 970 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Diabetes Management and Research (4 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (183 citations), Genetics (289 citations) and Molecular Biology (655 citations). Norimichi Iwama has collaborated with scholars based in Japan and United States. Frequent co-authors include Ryuzo Kawamori, Takaaki Sato, Sharon Bodrug, Hong‐Gang Wang, Erica A. Golemis, M Hanada, Shinji Irie, Lawrence Boise, Linda Fong and Craig B. Thompson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Diabetes Care.

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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