Jean‐François Verchère

1.5k total citations
49 papers, 1.3k citations indexed

About

Jean‐François Verchère is a scholar working on Organic Chemistry, Spectroscopy and Mechanical Engineering. According to data from OpenAlex, Jean‐François Verchère has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Organic Chemistry, 13 papers in Spectroscopy and 12 papers in Mechanical Engineering. Recurrent topics in Jean‐François Verchère's work include Carbohydrate Chemistry and Synthesis (15 papers), Extraction and Separation Processes (10 papers) and Analytical Chemistry and Chromatography (7 papers). Jean‐François Verchère is often cited by papers focused on Carbohydrate Chemistry and Synthesis (15 papers), Extraction and Separation Processes (10 papers) and Analytical Chemistry and Chromatography (7 papers). Jean‐François Verchère collaborates with scholars based in France, Morocco and Slovakia. Jean‐François Verchère's co-authors include Stella Chapelle, Laurent Lebrun, Haad Bessbousse, Miloudi Hlaı̈bi, M. Le Métayer, D. Langévin, Guy Müller, Frédéric Zentz, J.‐M. POIRIER and Corinne Chappey and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Physical Chemistry B and Chemical Engineering Journal.

In The Last Decade

Jean‐François Verchère

48 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean‐François Verchère France 21 373 363 286 242 233 49 1.3k
Süleyman Patır Türkiye 21 276 0.7× 400 1.1× 144 0.5× 123 0.5× 193 0.8× 54 1.2k
Mohammad Kazem Rofouei Iran 23 412 1.1× 424 1.2× 117 0.4× 511 2.1× 231 1.0× 96 2.1k
Ying Yang China 25 255 0.7× 304 0.8× 262 0.9× 554 2.3× 175 0.8× 103 1.9k
Norberto S. Gonçalves Brazil 18 162 0.4× 337 0.9× 297 1.0× 345 1.4× 261 1.1× 50 1.1k
Ziya Ahmad Khan Saudi Arabia 23 427 1.1× 792 2.2× 100 0.3× 314 1.3× 156 0.7× 48 1.5k
Shuliang Zang China 23 161 0.4× 414 1.1× 344 1.2× 409 1.7× 216 0.9× 95 1.5k
Yuren Jiang China 19 330 0.9× 239 0.7× 208 0.7× 303 1.3× 424 1.8× 50 1.5k
Yunhui Zhai China 20 251 0.7× 136 0.4× 185 0.6× 133 0.5× 88 0.4× 32 1.2k
Abdolraouf Samadi‐Maybodi Iran 22 189 0.5× 182 0.5× 113 0.4× 647 2.7× 165 0.7× 106 1.6k

Countries citing papers authored by Jean‐François Verchère

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐François Verchère

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐François Verchère. 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 Jean‐François Verchère. The network helps show where Jean‐François Verchère may publish in the future.

Co-authorship network of co-authors of Jean‐François Verchère

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐François Verchère. A scholar is included among the top collaborators of Jean‐François Verchère 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 Jean‐François Verchère. Jean‐François Verchère 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.
Bessbousse, Haad, Jean‐François Verchère, & Laurent Lebrun. (2012). Characterisation of metal-complexing membranes prepared by the semi-interpenetrating polymer networks technique. Application to the removal of heavy metal ions from aqueous solutions. Chemical Engineering Journal. 187. 16–28. 46 indexed citations
2.
Bessbousse, Haad, Jean‐François Verchère, & Laurent Lebrun. (2010). Increase in permeate flux by porosity enhancement of a sorptive UF membrane designed for the removal of mercury(II). Journal of Membrane Science. 364(1-2). 167–176. 21 indexed citations
3.
Verchère, Jean‐François, et al.. (2009). Mechanism of transport of sugars across a supported liquid membrane using methyl cholate as mobile carrier. Desalination. 242(1-3). 84–95. 19 indexed citations
4.
Bessbousse, Haad, et al.. (2009). Novel Metal-Complexing Membrane Containing Poly(4-vinylpyridine) for Removal of Hg(II) from Aqueous Solution. The Journal of Physical Chemistry B. 113(25). 8588–8598. 43 indexed citations
5.
Bessbousse, Haad, et al.. (2008). Sorption and filtration of Hg(II) ions from aqueous solutions with a membrane containing poly(ethyleneimine) as a complexing polymer. Journal of Membrane Science. 325(2). 997–1006. 61 indexed citations
6.
7.
Verchère, Jean‐François, et al.. (2006). Separation of mixtures of carbohydrates by a supported liquid membrane containing methyl cholate as carrier. Desalination. 199(1-3). 527–528. 5 indexed citations
8.
Chappey, Corinne, et al.. (2006). Application of supported liquid membranes containing methyl cholate in cyclohexane for the carrier-mediated transport of sugars. Desalination. 189(1-3). 31–42. 21 indexed citations
9.
Hlaı̈bi, Miloudi, et al.. (2000). Molecular recognition of carbohydrates by a resorcinarene. Selective transport of alditols through a supported liquid membrane. Carbohydrate Research. 329(2). 409–422. 57 indexed citations
10.
Verchère, Jean‐François, et al.. (1998). ChemInform Abstract: Metal—Carbohydrate Complexes in Solution. ChemInform. 29(28). 4 indexed citations
11.
Chapelle, Stella, Peter Köll, & Jean‐François Verchère. (1998). A multinuclear NMR spectroscopy characterization of dinuclear tungsten(VI) complexes of tridentate and pentadentate meso-d-glycero-d-gulo-heptitol and d-glycero-l-gulo-heptitol. Carbohydrate Research. 306(1-2). 27–34. 3 indexed citations
12.
Verchère, Jean‐François, et al.. (1995). Formation of neutral complexes of boric acid with 1,3-diols in organic solvents and in aqueous solution. Polyhedron. 14(13-14). 2009–2017. 38 indexed citations
13.
Hlaı̈bi, Miloudi, et al.. (1995). A 13C and 183W NMR study of d-glycero-d-gulo-heptonic acid as a multisite ligand in tungstate complexes. Carbohydrate Research. 278(2). 227–238. 8 indexed citations
14.
Chapelle, Stella & Jean‐François Verchère. (1995). Tungstate complexes of aldoses and ketoses of the lyxo series. Multinuclear NMR evidence for chelation by one or two oxygen atoms borne by the side chain of the furanose ring. Carbohydrate Research. 277(1). 39–50. 11 indexed citations
15.
Chapelle, Stella & Jean‐François Verchère. (1991). A 13C-n.m.r. study of the tungstate and molybdate complexes of perseitol, galactitol, and d-mannitol. Carbohydrate Research. 211(2). 279–286. 17 indexed citations
16.
17.
Verchère, Jean‐François, et al.. (1990). Comparative study of various polyols as complexing agents for the acidimetric titration of tungstate. The Analyst. 115(5). 637–640. 12 indexed citations
18.
Verchère, Jean‐François & Stella Chapelle. (1989). Stability constants and structures of homologous dinuclear molybdate and tungstate complexes of aldoses by potentiometry and 13C and 95Mo NMR. Polyhedron. 8(3). 333–340. 21 indexed citations
19.
20.
Verchère, Jean‐François & Maurice‐Bernard Fleury. (1974). Mechanism and kinetics of the oxidation of diketosuccinic acid by molybdenum(VI) in perchloric acid. Journal of the Less Common Metals. 36(1-2). 133–138. 2 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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