Mai Nakamura

458 total citations
14 papers, 286 citations indexed

About

Mai Nakamura is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cell Biology. According to data from OpenAlex, Mai Nakamura has authored 14 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Cell Biology. Recurrent topics in Mai Nakamura's work include Proteoglycans and glycosaminoglycans research (3 papers), Medical Imaging Techniques and Applications (2 papers) and Alzheimer's disease research and treatments (2 papers). Mai Nakamura is often cited by papers focused on Proteoglycans and glycosaminoglycans research (3 papers), Medical Imaging Techniques and Applications (2 papers) and Alzheimer's disease research and treatments (2 papers). Mai Nakamura collaborates with scholars based in United States, Japan and France. Mai Nakamura's co-authors include Jun Nakamura, Nelson J. Chao, Heather A. Himburg, John P. Chute, Mamle Quarmyne, Phuong L. Doan, Shanthini Sockanathan, Pamela Daher, Sheila Harroch and Jeffrey R. Harris and has published in prestigious journals such as Journal of Clinical Investigation, Blood and PLoS ONE.

In The Last Decade

Mai Nakamura

11 papers receiving 282 citations

Peers

Mai Nakamura
Comparison fields: 5 of 74
  • Molecular Biology 141
  • Hematology 70
  • Genetics 46
  • Cancer Research 42
  • Immunology 40
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Sven Fischer Germany
Megha Rajaram India
Nimesh Bhaskaran Sweden
Scott Ditch United States
Mario Buono United Kingdom
Raffaella Spina United States
Timothy C. Jensen United States
Guangfen Mao United States
Ka Sin Mak Australia
Hao Yuan China
Sven Fischer Germany View profile →
Citations per field, relative to Mai Nakamura
Mai Nakamura · 1×
Citations per year, relative to Mai Nakamura
Mai Nakamura · 1×

Countries citing papers authored by Mai Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Mai Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Nakamura

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 2
2 0
3 0
4 28
5 42
6 13
7 19
8 42
9 16
10 1
11 106
12 4
13 12
14
Diagnosis of congenital heart diseases with an electronic computer.
1

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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