Daniel R. Ripoll

6.1k citations
100 papers · 4.9k · h-index 39

Impact in

    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Photosynthetic Processes and Mechanisms
    • Plant Molecular Biology Research

Papers in

    • Protein Structure and Dynamics 44
    • RNA and protein synthesis mechanisms 14
    • Chemical Synthesis and Analysis 10
    • Enzyme Structure and Function 25

Daniel R. Ripoll

99 papers receiving 4.8k citations

Peers

Daniel R. Ripoll
Comparison fields: 5 of 149
  • Molecular Biology 3.4k
  • Plant Science 1.2k
  • Spectroscopy 449
  • Computational Theory and Mathematics 400
  • Pharmacology 428
Replace Michael G. Prisant with:
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Daniel R. Ripoll relative to Michael G. Prisant United States Michael G. Prisant's profile →
Citations per field
00.5×1.5×2.4×
Michael G. Prisant · 1×
Citations per year

Countries citing papers authored by Daniel R. Ripoll

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Ripoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Ripoll. 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 Daniel R. Ripoll. The network helps show where Daniel R. Ripoll may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007412
2 1994220
3 1993214
4 2004166
5 1999155
6 2006148
7 1988144
8 1998134
9 2001129
10 2000126
11 2004111
12 1990110
13 2005107
14 2007102
15 200793
16 200389
17 200780
18 199677
19 199976
20 200875

About Daniel R. Ripoll

Daniel R. Ripoll is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Plant Science and Atomic and Molecular Physics, and Optics, having authored 100 papers that have together received 4.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (44 papers), Enzyme Structure and Function (25 papers), Mass Spectrometry Techniques and Applications (17 papers), RNA and protein synthesis mechanisms (14 papers), Chemical Synthesis and Analysis (10 papers), Viral Infections and Vectors (7 papers), Advanced Chemical Physics Studies (6 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). The work is most often cited by research in Molecular Biology (3.4k citations), Plant Science (1.2k citations), Spectroscopy (449 citations), Computational Theory and Mathematics (400 citations) and Pharmacology (428 citations). Daniel R. Ripoll has collaborated with scholars based in United States, Argentina and Poland. Frequent co-authors include Harold A. Scheraga, Jorge A. Vila, Adam Liwo, Jarosław Pillardy, Carlos H. Faerman, Joel L. Sussman, Israel Silman, Jooyoung Lee, Paul H. Axelsen and Cédric Feschotte. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biopolymers, The Journal of Physical Chemistry B, Proteins Structure Function and Bioinformatics and Biochemistry.

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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