Bryan Ferlez

812 citations
30 papers · 600 · h-index 15

Impact in

Papers in

Bryan Ferlez

30 papers receiving 598 citations

Peers

Bryan Ferlez
Comparison fields: 5 of 64
  • Renewable Energy, Sustainability and the Environment 125
  • Molecular Biology 469
  • Cellular and Molecular Neuroscience 94
  • Ecology 112
  • Structural Biology 6
Replace Beatrix G. Schlarb‐Ridley with:
Beatrix G. Schlarb‐Ridley United Kingdom
G. M. Soriano United States
Scott D. Betts United States
Yusuke Tsukatani Japan
Sujith Puthiyaveetil United States
William A. Cramer United States
Fernando P. Molina-Heredia Spain
Takashi Kadono Japan
Yuval Mazor Israel
Guohong Peng Germany
Bryan Ferlez relative to Beatrix G. Schlarb‐Ridley United Kingdom Beatrix G. Schlarb‐Ridley's profile →
Citations per field
00.5×7.1×
Beatrix G. Schlarb‐Ridley · 1×
Citations per year

Countries citing papers authored by Bryan Ferlez

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Ferlez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017126
2 201857
3 201937
4 201934
5 201432
6 202231
7 201627
8 201627
9 201924
10 201620
11 201820
12 201720
13 201919
14 201917
15 202015
16 201513
17 201613
18 202312
19 201612
20 20189

About Bryan Ferlez

Bryan Ferlez is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Renewable Energy, Sustainability and the Environment, Atomic and Molecular Physics, and Optics and Ecology, having authored 30 papers that have together received 600 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (19 papers), Photoreceptor and optogenetics research (9 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Bacteriophages and microbial interactions (4 papers), Metalloenzymes and iron-sulfur proteins (4 papers), Lipid Membrane Structure and Behavior (3 papers), Algal biology and biofuel production (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (125 citations), Molecular Biology (469 citations), Cellular and Molecular Neuroscience (94 citations), Ecology (112 citations) and Structural Biology (6 citations). Bryan Ferlez has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Cheryl A. Kerfeld, John H. Golbeck, Markus Sutter, Kevin Redding, Christopher J. Gisriel, Raimund Fromme, Iosifina Sarrou, Donald A. Bryant, Clément Aussignargues and Jefferson S. Plegaria. Their work appears in journals such as Photosynthesis Research, Biochemistry, Advanced Materials, Proceedings of the National Academy of Sciences and Biophysical Journal.

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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