Laura Llauger

678 citations
11 papers · 550 indexed · h-index 10
Topics
Computational Drug Discovery Methods (3 papers)Chemical Reaction Mechanisms (3 papers)Chemical Reactions and Mechanisms (3 papers)
Partner nations
United StatesCanadaSpain

In The Last Decade

Laura Llauger

11 papers receiving 534 citations

Peers

Laura Llauger
Comparison fields: 5 of 62
  • Molecular Biology 314
  • Organic Chemistry 219
  • Computational Theory and Mathematics 104
  • Materials Chemistry 99
  • Physical and Theoretical Chemistry 78
Replace Justyna Kalinowska‐Tłuścik with:
Justyna Kalinowska‐Tłuścik Poland
C. Courseille France
Yanlong Kang United States
Wei‐Xiao Hu China
Anil K. Pandey United States
Emma Danelius Sweden
Anatoliy O. Balanda Ukraine
Sebastian Demkowicz Poland
Jelena Jachno Lithuania
Michael S. Bodnarchuk United Kingdom
Laura Llauger relative to Justyna Kalinowska‐Tłuścik Poland Justyna Kalinowska‐Tłuścik's profile →
Citations per field
00.5×1.5×2.4×
Justyna Kalinowska‐Tłuścik · 1×
Citations per year

Countries citing papers authored by Laura Llauger

Since Specialization
Citations

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

Fields of papers citing papers by Laura Llauger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Llauger

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Llauger. A scholar is included among the top collaborators of Laura Llauger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laura Llauger. Laura Llauger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 12
2 156
3 137
4 81
5 10
6 8
7 13
8 15
9 95
10 13
11 10

About Laura Llauger

Laura Llauger is a scholar working on Physical and Theoretical Chemistry, Organic Chemistry and Computational Theory and Mathematics, having authored 11 papers that have together received 550 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Chemical Reaction Mechanisms (3 papers) and Chemical Reactions and Mechanisms (3 papers). The work is most often cited by research in Physical and Theoretical Chemistry (78 citations), Organic Chemistry (219 citations) and Toxicology (23 citations). Laura Llauger has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Huazhong He, Gabriela Chiosis, Joungnam Kim, Neal Rosen, Julia Aguirre, J. C. Scaiano, Peter Davies, Ulf Peters, Justin J. Palfreyman and Olga Garcı́a. Their work appears in journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and The Journal of Organic Chemistry.

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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