Robert L. Matts

5.2k citations
95 papers · 4.3k · h-index 45

Impact in

    • Heat shock proteins research
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • RNA regulation and disease
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Heat shock proteins research 64
    • Protein Structure and Dynamics 15
    • RNA regulation and disease 15
    • RNA and protein synthesis mechanisms 12
    • Endoplasmic Reticulum Stress and Disease 16

Robert L. Matts

94 papers receiving 4.2k citations

Peers

Robert L. Matts
Comparison fields: 5 of 125
  • Molecular Biology 3.5k
  • Cell Biology 750
  • Physical and Theoretical Chemistry 328
  • Aging 63
  • Computational Theory and Mathematics 469
Replace Holger Sondermann with:
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Citations per field
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Holger Sondermann · 1×
Citations per year

Countries citing papers authored by Robert L. Matts

Since Specialization
Citations

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

Fields of papers citing papers by Robert L. Matts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994130
2 2003129
3 2002120
4 2005118
5 2011110
6 1983107
7 2012102
8 201196
9 201890
10 200387
11 200086
12 200983
13 199382
14 200478
15 199478
16 198978
17 200176
18 201175
19 199775
20 200373

About Robert L. Matts

Robert L. Matts is a scholar working on Molecular Biology, Cell Biology, Computational Theory and Mathematics, Materials Chemistry and Immunology, having authored 95 papers that have together received 4.3k indexed citations. Recurring topics across this work include Heat shock proteins research (64 papers), Endoplasmic Reticulum Stress and Disease (16 papers), Protein Structure and Dynamics (15 papers), RNA regulation and disease (15 papers), Computational Drug Discovery Methods (13 papers), RNA and protein synthesis mechanisms (12 papers), Enzyme Structure and Function (11 papers) and Toxin Mechanisms and Immunotoxins (10 papers). The work is most often cited by research in Molecular Biology (3.5k citations), Cell Biology (750 citations), Physical and Theoretical Chemistry (328 citations), Aging (63 citations) and Computational Theory and Mathematics (469 citations). Robert L. Matts has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Steven D. Hartson, Bo-Geon Yun, Brian S. J. Blagg, R. P. Hurst, Thomas L. Prince, Jieya Shao, Sheri Uma, Vanitha Thulasiraman, Nicholas A. Kotov and Wenjun Huang. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Biochemical and Biophysical Research Communications, Molecular and Cellular Biology 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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