Daniel Citterio

8.9k total citations · 3 hit papers
190 papers, 7.5k citations indexed

About

Daniel Citterio is a scholar working on Biomedical Engineering, Molecular Biology and Bioengineering. According to data from OpenAlex, Daniel Citterio has authored 190 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Biomedical Engineering, 94 papers in Molecular Biology and 56 papers in Bioengineering. Recurrent topics in Daniel Citterio's work include Biosensors and Analytical Detection (67 papers), Advanced biosensing and bioanalysis techniques (65 papers) and Analytical Chemistry and Sensors (56 papers). Daniel Citterio is often cited by papers focused on Biosensors and Analytical Detection (67 papers), Advanced biosensing and bioanalysis techniques (65 papers) and Analytical Chemistry and Sensors (56 papers). Daniel Citterio collaborates with scholars based in Japan, Thailand and United States. Daniel Citterio's co-authors include Koji Suzuki, Koji Suzuki, Kentaro Yamada, Koji Abe, Yuki Hiruta, Keitaro Umezawa, Terence G. Henares, Hiroyuki Shibata, Yuki Nakamura and Koji Suzuki and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Daniel Citterio

185 papers receiving 7.4k citations

Hit Papers

Inkjet-Printed Microfluidic Multianalyte Chemical Sensing... 2008 2026 2014 2020 2008 2015 2017 200 400 600

Peers

Daniel Citterio
Comparison fields: 5 of 139
  • Biomedical Engineering 4.2k
  • Molecular Biology 3.2k
  • Materials Chemistry 2.2k
  • Spectroscopy 1.6k
  • Electrical and Electronic Engineering 1.5k
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Citations per field, relative to Daniel Citterio
Daniel Citterio · 1×
Citations per year, relative to Daniel Citterio
Daniel Citterio · 1×

Countries citing papers authored by Daniel Citterio

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Citterio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Citterio

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Citterio. A scholar is included among the top collaborators of Daniel Citterio 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 Citterio. Daniel Citterio 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
# Work Indexed citations
1 12
2 8
3 6
4 10
5 5
6 2
7 14
8 14
9 20
10 36
11 26
12 132
13 5
14 16
15 17
16
Toward practical application of paper-based microfluidics for medical diagnostics: state-of-the-art and challenges breakdown →
361
17 23
18 45
19 37
20 3

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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