Thomas Flores

683 citations
19 papers · 516 · h-index 10

Impact in

Papers in

Thomas Flores

18 papers receiving 509 citations

Peers

Thomas Flores
Comparison fields: 5 of 77
  • Cellular and Molecular Neuroscience 232
  • Biophysics 48
  • Genetics 44
  • Sensory Systems 14
  • Aging 5
Replace Gregory E. Snyder with:
Gregory E. Snyder United States
Jennifer L. Hazen United States
S.B. Andrews United States
Damien Alcor France
Jun Otomo Japan
Carl Harrison United Kingdom
Christian Schön Germany
K. Kanda Japan
Tunan Chen China
Philip C. Samson United States
Thomas Flores relative to Gregory E. Snyder United States Gregory E. Snyder's profile →
Citations per field
00.5×10×15×19.3×
Gregory E. Snyder · 1×
Citations per year

Countries citing papers authored by Thomas Flores

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Flores

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2018115
2 199087
3 202073
4 201953
5 201948
6 201633
7 199623
8 198922
9 199018
10 198918
11 20149
12 20197
13
Grating Acuity of Prosthetic Vision in Blind Rats Matches the Pixel Pitch of Photovoltaic Subretinal Arrays Below 50µm
20183
14
Vertical walls surrounding pixels in subretinal space reduce stimulation threshold and improve contrast
20182
15 20192
16
Photovoltaic Subretinal Prosthesis with Pixel Sizes Down to 40 um
20171
17 20201
18 20201
19 20180

About Thomas Flores

Thomas Flores is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry and Cognitive Neuroscience, having authored 19 papers that have together received 516 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (9 papers), Advanced Memory and Neural Computing (6 papers), Photoreceptor and optogenetics research (5 papers), Radioactive element chemistry and processing (3 papers), Lanthanide and Transition Metal Complexes (3 papers), Chemical and Physical Properties in Aqueous Solutions (2 papers), bioluminescence and chemiluminescence research (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (232 citations), Biophysics (48 citations), Genetics (44 citations), Sensory Systems (14 citations) and Aging (5 citations). Thomas Flores has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Daniel Palanker, Richard Payne, Alan M. Fein, Keith Mathieson, T. I. Kamins, Elton Ho, Ludwig Galambos, Arutselvan Natarajan, Lydia‐Marie Joubert and Hamed Arami. Their work appears in journals such as Journal of Neural Engineering, Investigative Ophthalmology & Visual Science, Scientific Reports, Neuro-Oncology and Current Biology.

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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