Noelle Davis

647 total citations · 2 hit papers
8 papers, 506 citations indexed

About

Noelle Davis is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Bioengineering. According to data from OpenAlex, Noelle Davis has authored 8 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 5 papers in Cognitive Neuroscience and 2 papers in Bioengineering. Recurrent topics in Noelle Davis's work include Advanced Sensor and Energy Harvesting Materials (7 papers), Tactile and Sensory Interactions (4 papers) and Non-Invasive Vital Sign Monitoring (2 papers). Noelle Davis is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (7 papers), Tactile and Sensory Interactions (4 papers) and Non-Invasive Vital Sign Monitoring (2 papers). Noelle Davis collaborates with scholars based in United States, Finland and South Korea. Noelle Davis's co-authors include Ali Javey, Mallika Bariya, Christine Heera Ahn, Wenbo Ji, Hnin Yin Yin Nyein, Jason Heikenfeld, Carlos Milla, Jussi Hiltunen, Elina Jansson and Jonghwa Park and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Lab on a Chip.

In The Last Decade

Noelle Davis

6 papers receiving 500 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A wearable patch for continuous analysis of thermoregulatory sweat at rest

2021 325 citations Hnin Yin Yin Nyein, Mallika Bariya et al. Nature Communications profile →
The challenges and promise of sweat sensing

2024 103 citations Noelle Davis, Jason Heikenfeld et al. Nature Biotechnology profile →

Peers

Noelle Davis

BE

EEE

CN

BIOEN

PP

KunHyuck Lee United States

William J. Jeang United States

Justin Hanson United States

Mao Shiomi Japan

Deirdre Morris Ireland

Faiz Sherman United States

Omar Mirza United Kingdom

Jai Kyoung Sim South Korea

Zhenyuan Niu United States

José A. Lasalde‐Ramírez United States

KunHyuck Lee United States

Noelle Davis

437 ×1.0

BE

138 ×0.9

EEE

118 ×1.2

CN

78 ×0.8

BIOEN

60 ×1.0

PP

Citations per year, relative to Noelle Davis Noelle Davis (= 1×) peers KunHyuck Lee

Countries citing papers authored by Noelle Davis

Since Specialization

Citations

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

Fields of papers citing papers by Noelle Davis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noelle Davis

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Kim, Seung‐Rok, et al.. (2025). Electrodermal activity as a proxy for sweat rate monitoring during physical and mental activities. Nature Electronics. 8(4). 353–361. 9 indexed citations

2.

Davis, Noelle, et al.. (2025). sNails: sweat-sensing nails for unobtrusive, wearable microfluidic sweat monitoring from the dorsal distal phalanges. Lab on a Chip. 25(21). 5473–5481.

3.

Davis, Noelle, et al.. (2025). Reusable, Fully Integrated Sweat Monitor Band with Peel‐and‐Stick‐Replacement Printed Microfluidic Sensor. Advanced Materials Technologies. 10(16). 1 indexed citations

4.

Davis, Noelle, Jason Heikenfeld, Carlos Milla, & Ali Javey. (2024). The challenges and promise of sweat sensing. Nature Biotechnology. 42(6). 860–871. 103 indexed citations breakdown →

5.

Dautta, Manik, Noelle Davis, Jonghwa Park, et al.. (2023). Tape‐Free, Digital Wearable Band for Exercise Sweat Rate Monitoring. Advanced Materials Technologies. 8(6). 21 indexed citations

6.

Davis, Noelle, et al.. (2023). DeTagTive: Linking MACs to Protect Against Malicious BLE Trackers. 1–7.

7.

Bariya, Mallika, et al.. (2022). Resettable Microfluidics for Broad-Range and Prolonged Sweat Rate Sensing. ACS Sensors. 7(4). 1156–1164. 47 indexed citations

8.

Nyein, Hnin Yin Yin, Mallika Bariya, Christine Heera Ahn, et al.. (2021). A wearable patch for continuous analysis of thermoregulatory sweat at rest. Nature Communications. 12(1). 325 indexed citations breakdown →

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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