A.M. Nakamura

821 citations
6 papers · 211 indexed · h-index 6
Topics
SARS-CoV-2 and COVID-19 Research (4 papers)COVID-19 Clinical Research Studies (2 papers)Enzyme Catalysis and Immobilization (2 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Molecular BiologyMolecules

In The Last Decade

A.M. Nakamura

6 papers receiving 209 citations

Peers

A.M. Nakamura
Comparison fields: 5 of 58
  • Molecular Biology 108
  • Infectious Diseases 53
  • Computational Theory and Mathematics 47
  • Biomedical Engineering 44
  • Biotechnology 40
Replace Jagadish Chandrabose Sundaramurthi with:
Jagadish Chandrabose Sundaramurthi United States
Samantha M. Prezioso United States
Himanshu Avashthi India
Milad Lagzian Iran
Jeng Yeong Chow Singapore
Annabelle Pfeifle Canada
Karin Lemuth Germany
Vinicio Armijos‐Jaramillo Ecuador
Princy Hira India
A.M. Nakamura relative to Jagadish Chandrabose Sundaramurthi United States Jagadish Chandrabose Sundaramurthi's profile →
Citations per field
00.5×3.4×
Jagadish Chandrabose Sundaramurthi · 1×
Citations per year

Countries citing papers authored by A.M. Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by A.M. Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A.M. Nakamura

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 11
2 19
3 44
4 24
5 11
6 102

About A.M. Nakamura

A.M. Nakamura is a scholar working on Infectious Diseases, Microbiology and Computational Theory and Mathematics, having authored 6 papers that have together received 211 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (2 papers) and Enzyme Catalysis and Immobilization (2 papers). The work is most often cited by research in Biotechnology (40 citations), Computational Theory and Mathematics (47 citations) and Infectious Diseases (53 citations). A.M. Nakamura has collaborated with scholars based in Brazil, United States and Moldova. Frequent co-authors include Igor Polikarpov, Alessandro S. Nascimento, André S. Godoy, Victor O. Gawriljuk, Glaucius Oliva, R.S. Fernandes, G.D. Noske, Marjorie C. L. C. Freire, H.M. Pereira and G.M.A. Lima. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Molecular Biology and Molecules.

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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