Nathan Bryant

744 citations
24 papers · 570 · h-index 13

Impact in

Papers in

Nathan Bryant

24 papers receiving 566 citations

Peers

Nathan Bryant
Comparison fields: 5 of 88
  • Animal Science and Zoology 67
  • Genetics 144
  • Rehabilitation 30
  • Radiology, Nuclear Medicine and Imaging 93
  • Infectious Diseases 73
Replace Kentaro Nakamura with:
Kentaro Nakamura Japan
Yong-Hee Kim South Korea
J. Manuel Hernández‐Hernández Mexico
Patrizia Pisano Italy
Haithem A. Farghali Egypt
Chang-Sik Park South Korea
Michael McKinstry United States
Kristen Walker United States
Fanlin Kong China
Melanie Schmid Germany
Nathan Bryant relative to Kentaro Nakamura Japan Kentaro Nakamura's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nathan Bryant

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Bryant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200579
2 201470
3 200664
4 201159
5 202053
6 201445
7 200741
8 202125
9 202220
10 202118
11 201518
12 202215
13 201614
14 202311
15 20247
16 20236
17 20166
18 20234
19 20124
20 20203

About Nathan Bryant

Nathan Bryant is a scholar working on Biomedical Engineering, Molecular Biology, Agronomy and Crop Science, Genetics and Biomaterials, having authored 24 papers that have together received 570 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (8 papers), Lignin and Wood Chemistry (7 papers), Muscle Physiology and Disorders (6 papers), Bioenergy crop production and management (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Virus-based gene therapy research (3 papers), Plant Gene Expression Analysis (3 papers) and Advanced Cellulose Research Studies (3 papers). The work is most often cited by research in Animal Science and Zoology (67 citations), Genetics (144 citations), Rehabilitation (30 citations), Radiology, Nuclear Medicine and Imaging (93 citations) and Infectious Diseases (73 citations). Nathan Bryant has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Arthur J. Ragauskas, Robert McKenna, Yunqiao Pu, Mari‐Paz Rubio, Bruce M. Damon, Mavis Agbandje‐McKenna, José M. Almendral, Glenn A. Walter, Mark D. Does and Daniel F. Gochberg. Their work appears in journals such as ACS Sustainable Chemistry & Engineering, NMR in Biomedicine, Frontiers in Plant Science, Journal of Visualized Experiments and Muscle & Nerve.

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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