Pierre Daublain

1.4k citations
22 papers · 564 · h-index 15

Impact in

Papers in

Pierre Daublain

22 papers receiving 559 citations

Peers

Pierre Daublain
Comparison fields: 5 of 58
  • Physical and Theoretical Chemistry 167
  • Molecular Biology 377
  • Pharmaceutical Science 24
  • Electrical and Electronic Engineering 157
  • Atomic and Molecular Physics, and Optics 76
Replace Johan Kajanus with:
Johan Kajanus Sweden
Debosreeta Bose India
Maria Hilczer Poland
A. K. Jissy India
Akshay Kumar Sahu India
Samita Basu India
Joseph J. Urban United States
Ashis Nag India
Chang‐Sheng Wang China
Kiran Devi Tulsiyan India
Pierre Daublain relative to Johan Kajanus Sweden Johan Kajanus's profile →
Citations per field
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Citations per year

Countries citing papers authored by Pierre Daublain

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Daublain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005140
2 200680
3 200934
4 200831
5 200831
6 200730
7 200624
8 200923
9 201720
10 200819
11 201018
12 200618
13 201516
14 200216
15 202214
16 200813
17 200313
18 20077
19 20047
20 20217

About Pierre Daublain

Pierre Daublain is a scholar working on Molecular Biology, Physical and Theoretical Chemistry, Computational Theory and Mathematics, Renewable Energy, Sustainability and the Environment and Materials Chemistry, having authored 22 papers that have together received 564 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (12 papers), Advanced biosensing and bioanalysis techniques (10 papers), Photochemistry and Electron Transfer Studies (7 papers), Computational Drug Discovery Methods (3 papers), Electron and X-Ray Spectroscopy Techniques (2 papers), Drug Solubulity and Delivery Systems (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and CO2 Reduction Techniques and Catalysts (2 papers). The work is most often cited by research in Physical and Theoretical Chemistry (167 citations), Molecular Biology (377 citations), Pharmaceutical Science (24 citations), Electrical and Electronic Engineering (157 citations) and Atomic and Molecular Physics, and Optics (76 citations). Pierre Daublain has collaborated with scholars based in United States, Armenia and United Kingdom. Frequent co-authors include Frederick D. Lewis, Torsten Fiebig, Qiang Wang, Vladimir Shafirovich, Michael R. Wasielewski, Milen Raytchev, Boiko Cohen, Josh Vura‐Weis, Anton Trifonov and Martin Newcomb. Their work appears in journals such as Journal of the American Chemical Society, Molecular Pharmaceutics, The Journal of Physical Chemistry B, Angewandte Chemie International Edition and Organic Letters.

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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