Luc Patiny

3.9k citations
63 papers · 2.4k indexed · 1 hit paper · h-index 23

Impact in

Papers in

Luc Patiny

58 papers receiving 2.4k citations

Hit Papers

EcoScale, a semi-quantitative tool to select an organic preparation based on economical and ecological parameters 2006 · 564 citations
5642006202620122019100200300400500

Peers

Luc Patiny
Comparison fields: 5 of 162
  • Environmental Chemistry 251
  • Organic Chemistry 685
  • Spectroscopy 338
  • Analytical Chemistry 192
  • Process Chemistry and Technology 45
Replace Christoph Rücker with:
Christoph Rücker Germany
Wen Gu China
James F. Rathman United States
Edward C. Sherer United States
Supratik Kar United States
Leonardo S. Santos Chile
Philipp Pracht Germany
David T. Manallack Australia
Alpeshkumar K. Malde Australia
Giuseppe Musumarra Italy
Luc Patiny relative to Christoph Rücker Germany Christoph Rücker's profile →
Citations per field
00.5×
Christoph Rücker · 1×
Citations per year

Countries citing papers authored by Luc Patiny

Since Specialization
Citations

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

Fields of papers citing papers by Luc Patiny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20247
3 202261
4 202124
5 202018
6 201938
7 20187
8 201712
9 20179
10 20168
11 201618
12 201526
13 201529
14 20145
15 2014161
16 201212
17 2010119
18 200437
19
One-wedge convention for stereochemical representations.
20004
20 200018

About Luc Patiny

Luc Patiny is a scholar working on Spectroscopy, Information Systems and Management, Physical and Theoretical Chemistry, Toxicology and Organic Chemistry, having authored 63 papers that have together received 2.4k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (10 papers), Analytical Chemistry and Chromatography (9 papers), Chemical Synthesis and Analysis (8 papers), Computational Drug Discovery Methods (8 papers), Molecular spectroscopy and chirality (7 papers), Metal complexes synthesis and properties (6 papers), Various Chemistry Research Topics (5 papers) and Scientific Computing and Data Management (5 papers). The work is most often cited by research in Environmental Chemistry (251 citations), Organic Chemistry (685 citations), Spectroscopy (338 citations), Analytical Chemistry (192 citations) and Process Chemistry and Technology (45 citations). Luc Patiny has collaborated with scholars based in Switzerland, Colombia and France. Frequent co-authors include Koen Van Aken, Lucjan Strękowski, Alain Borel, Damiano Banfi, Manfred Mutter, Julien Wist, A. Castillo, Berend Smit, Kevin Maik Jablonka and Michael Keller. Their work appears in journals such as Tetrahedron, Tetrahedron Letters, Analytical Chemistry, Journal of Cheminformatics and Magnetic Resonance in 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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