L. Bryan Ray

3.2k citations
105 papers · 2.6k indexed · 2 hit papers · h-index 15

L. Bryan Ray

96 papers receiving 2.5k citations

Hit Papers

Insulin-stimulated MAP-2 kinase phosphorylates and activa...9271987202620002013250500750

Peers

L. Bryan Ray
Comparison fields: 5 of 115
  • Aging 70
  • Cell Biology 486
  • Molecular Biology 2.0k
  • Oncology 290
  • Cellular and Molecular Neuroscience 188
Replace Ying Sun with:
Ying Sun China
Yun Fan United States
Nicolas Tajeddine Belgium
Fumiko Hirose Japan
Philippe Lenormand France
Jean N. Buskin United States
F. Barry Caudwell United Kingdom
Celia Quevedo Spain
Néstor Gómez Spain
Carola A. Neumann United States
L. Bryan Ray relative to Ying Sun China Ying Sun's profile →
Citations per field
00.5×1.5×2.3×
Ying Sun · 1×
Citations per year

Countries citing papers authored by L. Bryan Ray

Since Specialization
Citations

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

Fields of papers citing papers by L. Bryan Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20250
3 20242
4 20241
5 20242
6 20241
7 20231
8 20235
9 20238
10 20227
11 202210
12 202015
13 201924
14 201940
15 20199
16 20199
17 201310
18 20042
19 19907
20
Insulin-stimulated MAP-2 kinase phosphorylates and activates ribosomal protein S6 kinase IIbreakdown →
1988927

About L. Bryan Ray

L. Bryan Ray is a scholar working on Microbiology, Biotechnology, Aging, Biomaterials and Molecular Biology, having authored 105 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), Enzyme Production and Characterization (10 papers), Studies on Chitinases and Chitosanases (10 papers), Nanocomposite Films for Food Packaging (8 papers), Plant-Microbe Interactions and Immunity (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Ubiquitin and proteasome pathways (5 papers) and Microbial Community Ecology and Physiology (5 papers). The work is most often cited by research in Aging (70 citations), Cell Biology (486 citations), Molecular Biology (2.0k citations), Oncology (290 citations) and Cellular and Molecular Neuroscience (188 citations). L. Bryan Ray has collaborated with scholars based in India, United States and Ethiopia. Frequent co-authors include T W Sturgill, Thomas W. Sturgill, E Erikson, James L. Maller, Vishakha Raina, Mrutyunjay Suar, Samir R. Mishra, Tapan Kumar Adhya, Ajit Kumar Pattanaik and James Norman Dent. Their work appears in journals such as Science Signaling, Science, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, International Journal of Biological Macromolecules and Proceedings of the National Academy of Sciences.

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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