C. Campos

493 citations
27 papers · 336 · h-index 10

Impact in

    • Microfluidic and Capillary Electrophoresis Applications
    • Microfluidic and Bio-sensing Technologies
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • Biosensors and Analytical Detection

Papers in

C. Campos

27 papers receiving 330 citations

Peers

C. Campos
Comparison fields: 5 of 81
  • Biomedical Engineering 184
  • Bioengineering 23
  • Cancer Research 44
  • Electrochemistry 19
  • Structural Biology 3
Replace Sinéad M. Matthews with:
Sinéad M. Matthews United Kingdom
Zane Baird United States
Jiaoyan Qiu China
Mansoureh Z. Mousavi Italy
Chi Kwong Tang United States
Xuena Zhu China
Shalen Kumar New Zealand
Jinrui Gan China
Jiachang Yue China
C. Campos relative to Sinéad M. Matthews United Kingdom Sinéad M. Matthews's profile →
Citations per field
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Sinéad M. Matthews · 1×
Citations per year

Countries citing papers authored by C. Campos

Since Specialization
Citations

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

Fields of papers citing papers by C. Campos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C. Campos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. Campos Line = papers co-authored together C. Campos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201869
2 201455
3 201336
4 201829
5 201523
6 201219
7 201514
8 201213
9 201410
10 201810
11 20118
12 19968
13 20157
14 19866
15 20215
16 19964
17 19974
18 20173
19 20232
20 19952

About C. Campos

C. Campos is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Molecular Biology, Atomic and Molecular Physics, and Optics and Radiation, having authored 27 papers that have together received 336 indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (8 papers), Microfluidic and Bio-sensing Technologies (5 papers), Magnetic Properties of Alloys (3 papers), Single-cell and spatial transcriptomics (3 papers), X-ray Spectroscopy and Fluorescence Analysis (3 papers), Magnetic properties of thin films (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Analytical Chemistry and Sensors (2 papers). The work is most often cited by research in Biomedical Engineering (184 citations), Bioengineering (23 citations), Cancer Research (44 citations), Electrochemistry (19 citations) and Structural Biology (3 citations). C. Campos has collaborated with scholars based in Brazil, United States and Belgium. Frequent co-authors include José Alberto Fracassi da Silva, A. Manz, Steven A. Soper, Małgorzata A. Witek, Pavel Neužil, Michael C. Murphy, Andrew K. Godwin, Chee Chung Wong, Julien Reboud and Jeffrey Bo Woon Soon. Their work appears in journals such as Lab on a Chip, Journal of Applied Physics, RSC Advances, IEEE Transactions on Magnetics and Electrophoresis.

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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