L. Perera

137 papers receiving 24.5k citations

L. Perera's Hit Papers

New tricks for modelers from the crystallography toolkit: the particle mesh Ewald algorithm and its use in nucleic acid simulations 1999 · 561 citations
5610+10+20Years since publication5.0k10.0k15.0k

Peers

L. Perera
Comparison fields: 5 of 181
  • Filtration and Separation 587
  • Physical and Theoretical Chemistry 2.0k
  • Molecular Biology 12.5k
  • Atomic and Molecular Physics, and Optics 5.2k
  • Catalysis 944
Replace Giovanni Ciccotti with:
Giovanni Ciccotti Italy
Darrin M. York United States
Ulrich Essmann United States
Giovanni Bussi Italy
Julian Tirado‐Rives United States
Jeremy C. Smith United States
Hsing Lee United States
Wendy D. Cornell United States
Christopher I. Bayly United States
Tjerk P. Straatsma United States
L. Perera relative to Giovanni Ciccotti Italy Giovanni Ciccotti's profile →
Citations per field
00.5×1.5×
Giovanni Ciccotti · 1×
Citations per year

Countries citing papers authored by L. Perera

Since Specialization
Citations

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

Fields of papers citing papers by L. Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A smooth particle mesh Ewald method
Hit paper breakdown →
199518660
2
New tricks for modelers from the crystallography toolkit: the particle mesh Ewald algorithm and its use in nucleic acid simulations
Hit paper breakdown →
1999561
3 1991313
4 2002312
5 2006162
6 2002158
7 2013156
8 2020143
9 1995143
10 1994142
11 2014137
12 2019126
13 2016113
14 2009111
15 2008111
16 1992111
17 1993106
18 1995103
19 199699
20 199298

About L. Perera

L. Perera is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Materials Chemistry, Spectroscopy and Genetics, having authored 139 papers that have together received 24.7k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (19 papers), Spectroscopy and Quantum Chemical Studies (19 papers), DNA and Nucleic Acid Chemistry (18 papers), RNA and protein synthesis mechanisms (13 papers), DNA Repair Mechanisms (12 papers), RNA Research and Splicing (10 papers), Enzyme Structure and Function (9 papers) and Blood Coagulation and Thrombosis Mechanisms (8 papers). The work is most often cited by research in Filtration and Separation (587 citations), Physical and Theoretical Chemistry (2.0k citations), Molecular Biology (12.5k citations), Atomic and Molecular Physics, and Optics (5.2k citations) and Catalysis (944 citations). L. Perera has collaborated with scholars based in United States, France and Sri Lanka. Frequent co-authors include Max L. Berkowitz, Lee G. Pedersen, Tom Darden, Ulrich Essmann, Hsing Lee, Leping Li, Chrystal D. Bruce, Malcolm D. E. Forbes, François G. Amar and Thomas A. Darden. Their work appears in journals such as The Journal of Chemical Physics, Journal of Biological Chemistry, Biophysical Journal, Nucleic Acids Research 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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