Daniel T. Kamei

3.1k citations
70 papers · 2.6k indexed · h-index 27
Topics
Biosensors and Analytical Detection (20 papers)Advanced biosensing and bioanalysis techniques (15 papers)RNA Interference and Gene Delivery (11 papers)
Partner nations
United StatesBrazilChina

In The Last Decade

Daniel T. Kamei

70 papers receiving 2.5k citations

Peers

Daniel T. Kamei
Comparison fields: 5 of 118
  • Molecular Biology 1.4k
  • Biomedical Engineering 728
  • Biomaterials 548
  • Organic Chemistry 480
  • Materials Chemistry 288
Replace Dibyendu Kumar Das with:
Dibyendu Kumar Das India
Ratmir Derda Canada
Christopher F. van der Walle United Kingdom
Souvik Maiti India
Yatin R. Gokarn United States
Ines Neundorf Germany
Qiongzheng Hu China
Izumi Kumagai Japan
Shuo Qian United States
Anna Mitraki Greece
Daniel T. Kamei relative to Dibyendu Kumar Das India Dibyendu Kumar Das's profile →
Citations per field
00.5×2.6×
Dibyendu Kumar Das · 1×
Citations per year

Countries citing papers authored by Daniel T. Kamei

Since Specialization
Citations

This map shows the geographic impact of Daniel T. Kamei'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 Daniel T. Kamei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Kamei more than expected).

Fields of papers citing papers by Daniel T. Kamei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. Kamei. 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 Daniel T. Kamei. The network helps show where Daniel T. Kamei may publish in the future.

Co-authorship network of co-authors of Daniel T. Kamei

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel T. Kamei. A scholar is included among the top collaborators of Daniel T. Kamei 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 Daniel T. Kamei. Daniel T. Kamei 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 2
2 2
3 16
4 17
5 5
6 15
7 12
8 30
9 26
10 12
11 2
12 24
13 338
14 97
15 4
16 5
17 312
18 43
19 37
20 27

About Daniel T. Kamei

Daniel T. Kamei is a scholar working on Filtration and Separation, Biomaterials and Biomedical Engineering, having authored 70 papers that have together received 2.6k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (20 papers), Advanced biosensing and bioanalysis techniques (15 papers) and RNA Interference and Gene Delivery (11 papers). The work is most often cited by research in Filtration and Separation (282 citations), Biomaterials (548 citations) and Microbiology (150 citations). Daniel T. Kamei has collaborated with scholars based in United States, Brazil and China. Frequent co-authors include Timothy J. Deming, Victor Sun, Eric P. Holowka, Daniel Blankschtein, Daniel I. C. Wang, Benjamin M. Wu, April R. Rodriguez, Jonathan A. King, Ricky Y. T. Chiu and Gerard C. L. Wong. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Materials and PLoS ONE.

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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