Paul Molin

995 total citations
32 papers, 704 citations indexed

About

Paul Molin is a scholar working on Biomedical Engineering, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Paul Molin has authored 32 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 7 papers in Molecular Biology and 5 papers in Cognitive Neuroscience. Recurrent topics in Paul Molin's work include Neuroscience and Music Perception (5 papers), Cell Image Analysis Techniques (4 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Paul Molin is often cited by papers focused on Neuroscience and Music Perception (5 papers), Cell Image Analysis Techniques (4 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Paul Molin collaborates with scholars based in France, Chile and Canada. Paul Molin's co-authors include Patrick Gervais, Pierre‐André Maréchal, W. Grajek, Maurice Bensoussan, Iñigo Martı́nez de Marañón, Emmanuel Bigand, Stéphane Guyot, Didier Arnal, Philippe Dantigny and Georges Pinczon and has published in prestigious journals such as Annals of the New York Academy of Sciences, Journal of Membrane Science and Applied Microbiology and Biotechnology.

In The Last Decade

Paul Molin

31 papers receiving 655 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paul Molin France 15 268 246 205 164 135 32 704
Heejin Kim United States 20 777 2.9× 123 0.5× 531 2.6× 94 0.6× 97 0.7× 35 1.2k
Lanxiang Wang China 26 456 1.7× 43 0.2× 265 1.3× 575 3.5× 60 0.4× 65 1.6k
Zuzana Hruska United States 17 123 0.5× 167 0.7× 172 0.8× 537 3.3× 122 0.9× 50 907
Dingkang Wang China 14 212 0.8× 40 0.2× 54 0.3× 125 0.8× 173 1.3× 52 585
Hanchi Chen China 15 136 0.5× 65 0.3× 175 0.9× 61 0.4× 33 0.2× 46 592
Bianca Maria Ranzi Italy 15 692 2.6× 98 0.4× 288 1.4× 84 0.5× 125 0.9× 27 821
Haruhiko Murase Japan 13 120 0.4× 42 0.2× 75 0.4× 372 2.3× 41 0.3× 102 716
Max J. Kennedy India 9 258 1.0× 93 0.4× 144 0.7× 45 0.3× 56 0.4× 17 511
Vikrant Gupta India 19 493 1.8× 68 0.3× 45 0.2× 465 2.8× 137 1.0× 49 841

Countries citing papers authored by Paul Molin

Since Specialization
Citations

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

Fields of papers citing papers by Paul Molin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Molin

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

All Works

20 of 20 papers shown
1.
Guyot, Stéphane, et al.. (2019). Automatic Counting of Intra-Cellular Ribonucleo-Protein Aggregates inSaccharomyces cerevisiaeUsing a Textural Approach. Microscopy and Microanalysis. 25(1). 164–179. 2 indexed citations
2.
Guyot, Stéphane, et al.. (2017). Automatic Biological Cell Counting Using a Modified Gradient Hough Transform. Microscopy and Microanalysis. 23(1). 11–21. 3 indexed citations
3.
Läng, Émilie, Paul Molin, Stéphane Guyot, et al.. (2017). Modeling the heat inactivation of foodborne pathogens in milk powder: High relevance of the substrate water activity. Food Research International. 99(Pt 1). 577–585. 39 indexed citations
4.
Guyot, Stéphane, et al.. (2015). Reliable Detection and Smart Deletion of Malassez Counting Chamber Grid in Microscopic White Light Images for Microbiological Applications. Microscopy and Microanalysis. 21(4). 886–892. 2 indexed citations
5.
Guyot, Stéphane, et al.. (2014). A Robust Generic Method for Grid Detection in White Light Microscopy Malassez Blade Images in the Context of Cell Counting. Microscopy and Microanalysis. 21(1). 239–248. 4 indexed citations
7.
Tillmann, Barbara, W. Jay Dowling, Philippe Lalitte, et al.. (2012). Influence of Expressive Versus Mechanical Musical Performance on Short-term Memory for Musical Excerpts. Music Perception An Interdisciplinary Journal. 30(4). 419–425. 6 indexed citations
8.
Bueno, José Lino Oliveira, et al.. (2011). Multidimensional Scaling of Musical Time Estimations. Perceptual and Motor Skills. 112(3). 737–748. 10 indexed citations
9.
Dellacherie, Delphine, et al.. (2011). Multidimensional scaling of emotional responses to music in patients with temporal lobe resection. Cortex. 47(9). 1107–1115. 18 indexed citations
10.
Bigand, Emmanuel, et al.. (2009). The Contribution of Local Features to Familiarity Judgments in Music. Annals of the New York Academy of Sciences. 1169(1). 234–244. 7 indexed citations
11.
Gervais, Patrick & Paul Molin. (2003). The role of water in solid-state fermentation. Biochemical Engineering Journal. 13(2-3). 85–101. 210 indexed citations
12.
Thibault, Jules, G. Acuña, José Ricardo Pérez‐Correa, et al.. (2000). A hybrid representation approach for modelling complex dynamic bioprocesses. Bioprocess and Biosystems Engineering. 22(6). 547–556. 24 indexed citations
13.
Ferret, Éric, et al.. (1999). Macroscopic growth of filamentous fungi on solid substrate explained by a microscopic approach. Biotechnology and Bioengineering. 65(5). 512–522. 16 indexed citations
14.
Marañón, Iñigo Martı́nez de, Patrick Gervais, & Paul Molin. (1997). Determination of cells' water membrane permeability: Unexpected high osmotic permeability ofSaccharomyces cerevisiae. Biotechnology and Bioengineering. 56(1). 62–70. 24 indexed citations
15.
Cachon, Rémy, Paul Molin, & Charles Diviès. (1995). Modeling of continuous Ph‐stat stirred tank reactor with Lactococcus lactis ssp. lactis bv. diacetylactis immobilized in calcium alginate gel beads. Biotechnology and Bioengineering. 47(5). 567–574. 20 indexed citations
16.
Molin, Paul, et al.. (1993). A Computer Model Based on Reaction‐Diffusion Equations for the Growth of Filamentous Fungi on Solid Substrate. Biotechnology Progress. 9(4). 385–393. 11 indexed citations
17.
Gervais, Patrick, Pierre‐André Maréchal, & Paul Molin. (1992). Effects of the kinetics of osmotic pressure variation on yeast viability. Biotechnology and Bioengineering. 40(11). 1435–1439. 51 indexed citations
18.
Molin, Paul, et al.. (1992). Direction of hyphal growth: a relevant parameter in the development of filamentous fungi. Research in Microbiology. 143(8). 777–784. 16 indexed citations
19.
Molin, Paul, et al.. (1988). Influence of the water activity of a solid substrate on the growth rate and sporogenesis of filamentous fungi. Biotechnology and Bioengineering. 31(5). 457–463. 88 indexed citations
20.
Gervais, Patrick, et al.. (1988). Water relations of fungal spore germination. Applied Microbiology and Biotechnology. 29(6). 586–592. 36 indexed citations

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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