Ernesto De la Paz

1.8k total citations · 3 hit papers
15 papers, 1.4k citations indexed

About

Ernesto De la Paz is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ernesto De la Paz has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 4 papers in Electrical and Electronic Engineering and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ernesto De la Paz's work include Advanced Sensor and Energy Harvesting Materials (8 papers), Electrochemical sensors and biosensors (3 papers) and Neuroscience and Neural Engineering (3 papers). Ernesto De la Paz is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (8 papers), Electrochemical sensors and biosensors (3 papers) and Neuroscience and Neural Engineering (3 papers). Ernesto De la Paz collaborates with scholars based in United States, Spain and Switzerland. Ernesto De la Paz's co-authors include Joseph Wang, Lu Yin, Tamoghna Saha, Rafael Del Caño, Juliane R. Sempionatto, Thitaporn Sonsa‐ard, Kuldeep Mahato, Sheng Xu, Nicholas Tostado and Muyang Lin and has published in prestigious journals such as Chemical Reviews, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Ernesto De la Paz

15 papers receiving 1.4k citations

Hit Papers

An epidermal patch for the simultaneous monitoring of hae... 2021 2026 2022 2024 2021 2023 2023 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ernesto De la Paz United States 13 984 555 256 221 150 15 1.4k
Daniel Mukasa United States 6 1.2k 1.2× 476 0.9× 247 1.0× 191 0.9× 169 1.1× 7 1.6k
Haisong Lin United States 17 1.2k 1.2× 508 0.9× 291 1.1× 232 1.0× 178 1.2× 29 1.6k
Xuanbing Cheng United States 16 886 0.9× 494 0.9× 196 0.8× 228 1.0× 211 1.4× 20 1.4k
Ahyeon Koh United States 19 878 0.9× 460 0.8× 257 1.0× 237 1.1× 188 1.3× 34 1.5k
Jonas Kurniawan United States 11 983 1.0× 470 0.8× 304 1.2× 182 0.8× 65 0.4× 14 1.2k
Eric Wu United States 11 1.3k 1.3× 641 1.2× 320 1.3× 362 1.6× 184 1.2× 19 1.7k
Minghan Chao United States 6 1.3k 1.4× 702 1.3× 330 1.3× 353 1.6× 100 0.7× 6 1.6k
Wenzhuo Yu United States 15 921 0.9× 414 0.7× 162 0.6× 164 0.7× 147 1.0× 23 1.2k
Hannaneh Hojaiji United States 15 735 0.7× 355 0.6× 145 0.6× 209 0.9× 140 0.9× 17 1.0k
Laura Gonzalez‐Macia United Kingdom 15 1.1k 1.1× 600 1.1× 311 1.2× 200 0.9× 271 1.8× 23 1.6k

Countries citing papers authored by Ernesto De la Paz

Since Specialization
Citations

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

Fields of papers citing papers by Ernesto De la Paz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ernesto De la Paz. 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 Ernesto De la Paz. The network helps show where Ernesto De la Paz may publish in the future.

Co-authorship network of co-authors of Ernesto De la Paz

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

All Works

15 of 15 papers shown
1.
Saha, Tamoghna, Rafael Del Caño, Kuldeep Mahato, et al.. (2023). Wearable Electrochemical Glucose Sensors in Diabetes Management: A Comprehensive Review. Chemical Reviews. 123(12). 7854–7889. 238 indexed citations breakdown →
2.
Xu, Yuchen, Ernesto De la Paz, Akshay Paul, et al.. (2023). In-ear integrated sensor array for the continuous monitoring of brain activity and of lactate in sweat. Nature Biomedical Engineering. 7(10). 1307–1320. 100 indexed citations breakdown →
3.
Xu, Yuchen, Ernesto De la Paz, Akshay Paul, et al.. (2023). In-ear integrated sensor array for the continuous monitoring of brain activity and of lactate in sweat. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
4.
Paz, Ernesto De la, et al.. (2023). Non-invasive in-vivo glucose-based stress monitoring in plants. Biosensors and Bioelectronics. 231. 115300–115300. 30 indexed citations
5.
Caño, Rafael Del, Tamoghna Saha, Chochanon Moonla, Ernesto De la Paz, & Joseph Wang. (2023). Ketone bodies detection: Wearable and mobile sensors for personalized medicine and nutrition. TrAC Trends in Analytical Chemistry. 159. 116938–116938. 30 indexed citations
6.
Paz, Ernesto De la, et al.. (2022). Non-invasive monitoring of interstitial fluid lactate through an epidermal iontophoretic device. Talanta. 254. 124122–124122. 47 indexed citations
7.
Bolat, Gülçin, Ernesto De la Paz, Nathália F. B. Azeredo, et al.. (2022). Wearable soft electrochemical microfluidic device integrated with iontophoresis for sweat biosensing. Analytical and Bioanalytical Chemistry. 414(18). 5411–5421. 75 indexed citations
8.
Moonla, Chochanon, et al.. (2022). Disposable screen-printed electrochemical sensing strips for rapid decentralized measurements of salivary ketone bodies: Towards therapeutic and wellness applications. Biosensors and Bioelectronics. 220. 114891–114891. 27 indexed citations
9.
Saha, Tamoghna, Rafael Del Caño, Ernesto De la Paz, Samar S. Sandhu, & Joseph Wang. (2022). Access and Management of Sweat for Non‐Invasive Biomarker Monitoring: A Comprehensive Review. Small. 19(51). e2206064–e2206064. 71 indexed citations
10.
Paz, Ernesto De la, Alexander Trifonov, Itthipon Jeerapan, et al.. (2022). A self-powered ingestible wireless biosensing system for real-time in situ monitoring of gastrointestinal tract metabolites. Nature Communications. 13(1). 7405–7405. 97 indexed citations
11.
Paz, Ernesto De la, et al.. (2021). Extended Noninvasive Glucose Monitoring in the Interstitial Fluid Using an Epidermal Biosensing Patch. Analytical Chemistry. 93(37). 12767–12775. 87 indexed citations
12.
Sempionatto, Juliane R., Muyang Lin, Lu Yin, et al.. (2021). An epidermal patch for the simultaneous monitoring of haemodynamic and metabolic biomarkers. Nature Biomedical Engineering. 5(7). 737–748. 485 indexed citations breakdown →
13.
Moon, Jong‐Min, Hazhir Teymourian, Ernesto De la Paz, et al.. (2021). Non‐Invasive Sweat‐Based Tracking of L‐Dopa Pharmacokinetic Profiles Following an Oral Tablet Administration. Angewandte Chemie. 133(35). 19222–19226. 9 indexed citations
14.
Moon, Jong‐Min, Hazhir Teymourian, Ernesto De la Paz, et al.. (2021). Non‐Invasive Sweat‐Based Tracking of L‐Dopa Pharmacokinetic Profiles Following an Oral Tablet Administration. Angewandte Chemie International Edition. 60(35). 19074–19078. 75 indexed citations
15.
Paz, Ernesto De la, et al.. (2005). Comparison of the Cutting Efficiency of Two Ultrasonic Units Utilizing Two Different Tips at Two Different Power Settings. Journal of Endodontics. 31(11). 824–826. 22 indexed citations

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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