Marcella Gomez

996 total citations
40 papers, 576 citations indexed

About

Marcella Gomez is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Marcella Gomez has authored 40 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 8 papers in Biomedical Engineering. Recurrent topics in Marcella Gomez's work include Neuroscience and Neural Engineering (12 papers), Gene Regulatory Network Analysis (10 papers) and Pressure Ulcer Prevention and Management (6 papers). Marcella Gomez is often cited by papers focused on Neuroscience and Neural Engineering (12 papers), Gene Regulatory Network Analysis (10 papers) and Pressure Ulcer Prevention and Management (6 papers). Marcella Gomez collaborates with scholars based in United States, Russia and Argentina. Marcella Gomez's co-authors include Wubing B. Qin, Gábor Orosz, Marco Rolandi, John Selberg, Mohammad Jafari, Gábor Orosz, Ophelia S. Venturelli, Philip A. Romero, Richard M. Murray and Mircea Teodorescu and has published in prestigious journals such as Nature Communications, PLoS ONE and Trends in Ecology & Evolution.

In The Last Decade

Marcella Gomez

38 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcella Gomez United States 12 159 149 140 126 95 40 576
Christopher K. Wilson United States 14 67 0.4× 375 2.5× 28 0.2× 105 0.8× 32 0.3× 24 939
Takeshi Sakaguchi Japan 14 477 3.0× 101 0.7× 414 3.0× 71 0.6× 3 0.0× 60 914
Le Yu China 13 75 0.5× 159 1.1× 11 0.1× 44 0.3× 30 0.3× 46 825
Anup Parikh United States 14 166 1.0× 198 1.3× 163 1.2× 59 0.5× 65 0.7× 30 780
Youchun Xu China 18 32 0.2× 406 2.7× 575 4.1× 174 1.4× 84 0.9× 31 1.1k
Bert Lenaerts Belgium 13 17 0.1× 48 0.3× 220 1.6× 404 3.2× 38 0.4× 23 876
Yiran Zhang China 13 109 0.7× 54 0.4× 15 0.1× 30 0.2× 21 0.2× 49 449
Mehdi Sadeghpour United States 10 205 1.3× 80 0.5× 33 0.2× 49 0.4× 2 0.0× 17 369

Countries citing papers authored by Marcella Gomez

Since Specialization
Citations

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

Fields of papers citing papers by Marcella Gomez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcella Gomez

This figure shows the co-authorship network connecting the top 25 collaborators of Marcella Gomez. A scholar is included among the top collaborators of Marcella Gomez 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 Marcella Gomez. Marcella Gomez 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
1.
Jafari, Mohammad, et al.. (2025). Machine learning vs. empirical models: Estimating leaf wetness patterns in a wildland landscape for plant disease management. Agricultural and Forest Meteorology. 362. 110392–110392. 1 indexed citations
2.
Gomez, Marcella, et al.. (2025). Unveiling OER bubble dynamics in alkaline electrolysis: Impacts on cell resistance. International Journal of Hydrogen Energy. 106. 138–145. 6 indexed citations
3.
Yang, Hsin‐ya, Moyasar A. Alhamo, Kan Zhu, et al.. (2025). A high-resolution temporal transcriptomic and imaging dataset of porcine wound healing. Scientific Data. 12(1). 1635–1635.
4.
Turner‐Evans, Daniel B., et al.. (2025). Predicting neuronal firing from calcium imaging using a control theoretic approach. PLoS Computational Biology. 21(6). e1012603–e1012603. 1 indexed citations
5.
Sun, Yaohui, Kan Zhu, Hsin‐ya Yang, et al.. (2024). A data-driven approach to establishing cell motility patterns as predictors of macrophage subtypes and their relation to cell morphology. PLoS ONE. 19(12). e0315023–e0315023.
6.
Li, Houpu, Pattawong Pansodtee, Mohammad Jafari, et al.. (2024). Delivering biochemicals with precision using bioelectronic devices enhanced with feedback control. PLoS ONE. 19(5). e0298286–e0298286. 1 indexed citations
7.
Sun, Yaohui, Hsin‐ya Yang, Elham Aslankoohi, et al.. (2024). Deep learning classification for macrophage subtypes through cell migratory pattern analysis. Frontiers in Cell and Developmental Biology. 12. 1259037–1259037. 6 indexed citations
8.
Gomez, Marcella, et al.. (2023). A Drone-Powered Deep Learning Methodology for High Precision Remote Sensing in California’s Coastal Shrubs. Drones. 7(7). 421–421. 16 indexed citations
9.
Nguyen, Tiffany, Cristián E. Hernández, Kan Zhu, et al.. (2023). A system for bioelectronic delivery of treatment directed toward wound healing. Scientific Reports. 13(1). 14766–14766. 8 indexed citations
10.
Mehta, Abijeet Singh, Hsin‐ya Yang, Elham Aslankoohi, et al.. (2023). Quantifying innervation facilitated by deep learning in wound healing. Scientific Reports. 13(1). 16885–16885. 4 indexed citations
11.
Jafari, Mohammad, et al.. (2023). Merging machine learning and bioelectronics for closed-loop control of biological systems and homeostasis. Cell Reports Physical Science. 4(8). 101535–101535. 16 indexed citations
12.
Jafari, Mohammad, et al.. (2022). Automatic wound detection and size estimation using deep learning algorithms. PLoS Computational Biology. 18(3). e1009852–e1009852. 28 indexed citations
13.
Jafari, Mohammad, Abijeet Singh Mehta, Yaohui Sun, et al.. (2022). A machine learning based model accurately predicts cellular response to electric fields in multiple cell types. Scientific Reports. 12(1). 9912–9912. 6 indexed citations
14.
Jafari, Mohammad, et al.. (2021). A feedback control architecture for bioelectronic devices with applications to wound healing. Journal of The Royal Society Interface. 18(185). 20210497–20210497. 6 indexed citations
15.
Gomez, Marcella, et al.. (2020). Leveraging spatial information to forecast nonlinear ecological dynamics. Methods in Ecology and Evolution. 12(2). 266–279. 15 indexed citations
16.
Gomez, Marcella, et al.. (2020). Evolution of Cellular Differentiation: From Hypotheses to Models. Trends in Ecology & Evolution. 36(1). 49–60. 27 indexed citations
17.
Selberg, John, Marcella Gomez, & Marco Rolandi. (2018). The Potential for Convergence between Synthetic Biology and Bioelectronics. Cell Systems. 7(3). 231–244. 47 indexed citations
18.
Gomez, Marcella, et al.. (2017). Using cellular fitness to map the structure and function of a major facilitator superfamily effluxer. Molecular Systems Biology. 13(12). 964–964. 5 indexed citations
19.
Gomez, Marcella & Murat Arcak. (2017). A Tug-of-War Mechanism for Pattern Formation in a Genetic Network. ACS Synthetic Biology. 6(11). 2056–2066. 6 indexed citations
20.
Gomez, Marcella, Richard M. Murray, & Matthew R. Bennett. (2016). The Effects of Time-Varying Temperature on Delays in Genetic Networks. SIAM Journal on Applied Dynamical Systems. 15(3). 1734–1752. 4 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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