Clarisse Maechling

15 total papers · 511 total citations
12 papers, 438 citations indexed

About

Clarisse Maechling is a scholar working on Molecular Biology, Spectroscopy and Physical and Theoretical Chemistry. According to data from OpenAlex, Clarisse Maechling has authored 12 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Spectroscopy and 3 papers in Physical and Theoretical Chemistry. Recurrent topics in Clarisse Maechling's work include Calcium signaling and nucleotide metabolism (2 papers), thermodynamics and calorimetric analyses (2 papers) and Trace Elements in Health (2 papers). Clarisse Maechling is often cited by papers focused on Calcium signaling and nucleotide metabolism (2 papers), thermodynamics and calorimetric analyses (2 papers) and Trace Elements in Health (2 papers). Clarisse Maechling collaborates with scholars based in France, United States and United Kingdom. Clarisse Maechling's co-authors include Jean‐Georges Kuhry, Guy Duportail, Paul Fonteneau, G. Laustriat, Vincent Ball, Bernard Spiess, Roland Marquet, Bing‐Rui Zhou, Jacques Haiech and Marie‐Claude Kilhoffer and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Physical Chemistry B.

In The Last Decade

Clarisse Maechling

12 papers receiving 427 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Clarisse Maechling 284 54 47 45 42 12 438
Noriyoshi Isozumi 202 0.7× 69 1.3× 32 0.7× 61 1.4× 28 0.7× 25 470
Murray Halwer 196 0.7× 43 0.8× 35 0.7× 28 0.6× 50 1.2× 18 460
Felipe Aguilar 250 0.9× 35 0.6× 37 0.8× 22 0.5× 32 0.8× 14 408
Mancourt Downing 218 0.8× 71 1.3× 95 2.0× 83 1.8× 71 1.7× 16 495
Martine Hervé 270 1.0× 55 1.0× 35 0.7× 25 0.6× 40 1.0× 29 416
Gunter Blankenhorn 230 0.8× 87 1.6× 36 0.8× 28 0.6× 88 2.1× 11 462
David Silverman 244 0.9× 61 1.1× 11 0.2× 43 1.0× 27 0.6× 13 420
M. A. Mitz 270 1.0× 33 0.6× 23 0.5× 15 0.3× 24 0.6× 17 440
Kiyoshi Iwamoto 296 1.0× 124 2.3× 35 0.7× 14 0.3× 66 1.6× 25 480
Neslihan Toyran 187 0.7× 26 0.5× 37 0.8× 44 1.0× 12 0.3× 16 442

Countries citing papers authored by Clarisse Maechling

Since Specialization
Citations

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

Fields of papers citing papers by Clarisse Maechling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clarisse Maechling

This figure shows the co-authorship network connecting the top 25 collaborators of Clarisse Maechling. A scholar is included among the top collaborators of Clarisse Maechling 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 Clarisse Maechling. Clarisse Maechling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026