John B. Troy

3.1k citations
89 papers · 2.2k indexed · h-index 30

Impact in

Papers in

John B. Troy

85 papers receiving 2.2k citations

Peers

John B. Troy
Comparison fields: 5 of 122
  • Cellular and Molecular Neuroscience 1.0k
  • Cognitive Neuroscience 1.0k
  • Ophthalmology 438
  • Architecture 26
  • Molecular Biology 1.2k
Replace John Robson with:
John Robson United States
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John B. Troy relative to John Robson United States John Robson's profile →
Citations per field
00.5×1.5×2.3×
John Robson · 1×
Citations per year

Countries citing papers authored by John B. Troy

Since Specialization
Citations

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

Fields of papers citing papers by John B. Troy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John B. Troy. 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 John B. Troy. The network helps show where John B. Troy may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20234
3 20230
4 202230
5 20213
6 20189
7 20175
8 201033
9 200910
10 200782
11 200758
12 20064
13 200415
14 200259
15
Taxonomy for bioengineering systems physiology
20001
16
From cells to systems: a learning module for bioengineering neural systems physiology
20001
17
Modeling the mosaics formed by the somata of ON- and OFF-center X retinal ganglion cells
19961
18 19941
19 199322
20 19896

About John B. Troy

John B. Troy is a scholar working on Architecture, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Ophthalmology and Media Technology, having authored 89 papers that have together received 2.2k indexed citations. Recurring topics across this work include Retinal Development and Disorders (38 papers), Neuroscience and Neural Engineering (31 papers), Photoreceptor and optogenetics research (26 papers), Neural dynamics and brain function (25 papers), Visual perception and processing mechanisms (22 papers), Glaucoma and retinal disorders (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and EEG and Brain-Computer Interfaces (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Cognitive Neuroscience (1.0k citations), Ophthalmology (438 citations), Architecture (26 citations) and Molecular Biology (1.2k citations). John B. Troy has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Christopher L. Passaglia, C Enroth‐Cugell, J. G. Robson, Xiaorong Liu, Liang Feng, Hui Chen, Donald R. Cantrell, Dennis M. Dacey, Samsoon Inayat and Orin Packer. Their work appears in journals such as Visual Neuroscience, The Journal of Physiology, Investigative Ophthalmology & Visual Science, Journal of Neuroscience and IEEE Transactions on Biomedical Engineering.

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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