Marcella Gomez

38 papers receiving 570 citations

Peers

Marcella Gomez
Comparison fields: 5 of 116
  • Transportation 74
  • Control and Systems Engineering 159
  • Occupational Therapy 25
  • Rehabilitation 37
  • Cellular and Molecular Neuroscience 95
Replace Takeshi Sakaguchi with:
Takeshi Sakaguchi Japan
Juan Wu China
Youchun Xu China
Christopher K. Wilson United States
Fang Lin China
Le Yu China
Tao Lu China
Antoine Marin France
Yuzhi Chen China
Charles Sullivan United Kingdom
Marcella Gomez relative to Takeshi Sakaguchi Japan Takeshi Sakaguchi's profile →
Citations per field
00.5×10×20×31.7×
Takeshi Sakaguchi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Marcella Gomez, 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 Marcella Gomez Line = papers co-authored together Marcella Gomez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016108
2 202074
3 201847
4 201440
5 202228
6 202027
7 202024
8 202024
9 202217
10 202316
11 202316
12 202015
13 201611
14 202311
15 202011
16 20238
17 20227
18 20227
19 20227
20 20256

About Marcella Gomez

Marcella Gomez is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering, Occupational Therapy and Rehabilitation, having authored 40 papers that have together received 576 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (12 papers), Gene Regulatory Network Analysis (10 papers), Pressure Ulcer Prevention and Management (6 papers), Wound Healing and Treatments (6 papers), Traffic control and management (4 papers), Photoreceptor and optogenetics research (4 papers), Diabetic Foot Ulcer Assessment and Management (4 papers) and Evolution and Genetic Dynamics (4 papers). The work is most often cited by research in Transportation (74 citations), Control and Systems Engineering (159 citations), Occupational Therapy (25 citations), Rehabilitation (37 citations) and Cellular and Molecular Neuroscience (95 citations). Marcella Gomez has collaborated with scholars based in United States, Russia and Argentina. Frequent co-authors include Wubing B. Qin, Gábor Orosz, Marco Rolandi, John Selberg, Mohammad Jafari, Gábor Orosz, Philip A. Romero, Ophelia S. Venturelli, Richard M. Murray and R. Rivkah Isseroff. Their work appears in journals such as Scientific Reports, SIAM Journal on Applied Dynamical Systems, PLoS Computational Biology, Cell Reports Physical Science and APL Materials.

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.

Explore authors with similar magnitude of impact