Dominique Wachsmann

2.2k total citations
40 papers, 1.8k citations indexed

About

Dominique Wachsmann is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Dominique Wachsmann has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 10 papers in Molecular Biology and 10 papers in Cancer Research. Recurrent topics in Dominique Wachsmann's work include Immune Response and Inflammation (12 papers), Streptococcal Infections and Treatments (7 papers) and Cell Adhesion Molecules Research (7 papers). Dominique Wachsmann is often cited by papers focused on Immune Response and Inflammation (12 papers), Streptococcal Infections and Treatments (7 papers) and Cell Adhesion Molecules Research (7 papers). Dominique Wachsmann collaborates with scholars based in France, Tunisia and Armenia. Dominique Wachsmann's co-authors include Jean Sibilia, Ghada Alsaleh, Jacques‐Eric Gottenberg, M Schöller, Sébastien Pfeffer, Jean‐Paul Klein, Seiamak Bahram, Guillaume Suffert, Philippe Georgel and Martine Soell and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Dominique Wachsmann

40 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dominique Wachsmann France 26 694 676 455 258 230 40 1.8k
Robert A. Reife United States 15 909 1.3× 522 0.8× 333 0.7× 397 1.5× 262 1.1× 18 2.1k
Partha S. Biswas United States 29 1.3k 1.8× 696 1.0× 201 0.4× 217 0.8× 241 1.0× 68 2.6k
Jaime Shamonki United States 15 140 0.2× 714 1.1× 301 0.7× 172 0.7× 141 0.6× 27 1.5k
Krisanavane Reddi United Kingdom 19 372 0.5× 613 0.9× 114 0.3× 105 0.4× 140 0.6× 27 1.4k
Bruce Allen Bach United States 25 1.1k 1.6× 499 0.7× 194 0.4× 292 1.1× 69 0.3× 57 2.7k
Zoya Kurago United States 20 551 0.8× 354 0.5× 132 0.3× 86 0.3× 64 0.3× 40 1.7k
Marcin Okrój Poland 22 757 1.1× 394 0.6× 90 0.2× 166 0.6× 84 0.4× 62 1.4k
Daniel J. Slade United States 20 501 0.7× 818 1.2× 143 0.3× 76 0.3× 137 0.6× 38 1.5k
Chamutal Gur Israel 23 1.4k 2.0× 353 0.5× 213 0.5× 79 0.3× 196 0.9× 40 2.1k
Martine Olivi France 21 166 0.2× 819 1.2× 249 0.5× 222 0.9× 173 0.8× 33 2.5k

Countries citing papers authored by Dominique Wachsmann

Since Specialization
Citations

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

Fields of papers citing papers by Dominique Wachsmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominique Wachsmann

This figure shows the co-authorship network connecting the top 25 collaborators of Dominique Wachsmann. A scholar is included among the top collaborators of Dominique Wachsmann 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 Dominique Wachsmann. Dominique Wachsmann 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.
Gombault, Aurélie, Bérengère Villeret, Ghada Alsaleh, et al.. (2014). B cell activating factor is central to bleomycin- and IL-17-mediated experimental pulmonary fibrosis. Journal of Autoimmunity. 56. 1–11. 89 indexed citations
2.
Alsaleh, Ghada, Lucas Philippe, Seiamak Bahram, et al.. (2014). MiR-30a-3p Negatively Regulates BAFF Synthesis in Systemic Sclerosis and Rheumatoid Arthritis Fibroblasts. PLoS ONE. 9(10). e111266–e111266. 56 indexed citations
3.
Chatelus, Emmanuel, Dominique Wachsmann, Jean Sibilia, et al.. (2013). B lymphocytes and B-cell activating factor promote collagen and profibrotic markers expression by dermal fibroblasts in systemic sclerosis. Arthritis Research & Therapy. 15(5). R168–R168. 115 indexed citations
4.
Philippe, Lucas, Ghada Alsaleh, Angélique Pichot, et al.. (2012). MiR-20a regulates ASK1 expression and TLR4-dependent cytokine release in rheumatoid fibroblast-like synoviocytes. Annals of the Rheumatic Diseases. 72(6). 1071–1079. 101 indexed citations
5.
Frenzel, Laurent, Ghada Alsaleh, Guillaume Suffert, et al.. (2011). miR-346 Controls Release of TNF-α Protein and Stability of Its mRNA in Rheumatoid Arthritis via Tristetraprolin Stabilization. PLoS ONE. 6(5). e19827–e19827. 79 indexed citations
6.
Alsaleh, Ghada, L. Sparsa, Emmanuel Chatelus, et al.. (2010). Innate immunity triggers IL-32 expression by fibroblast-like synoviocytes in rheumatoid arthritis. Arthritis Research & Therapy. 12(4). R135–R135. 63 indexed citations
7.
Frenzel, Laurent, et al.. (2009). A new mode of TNF-[alpha] inhibition by microRNA (99.26). The Journal of Immunology. 182(Supplement_1). 99.26–99.26. 2 indexed citations
8.
Alsaleh, Ghada, Guillaume Suffert, Tom Juncker, et al.. (2009). Bruton’s Tyrosine Kinase Is Involved in miR-346-Related Regulation of IL-18 Release by Lipopolysaccharide-Activated Rheumatoid Fibroblast-Like Synoviocytes. The Journal of Immunology. 182(8). 5088–5097. 119 indexed citations
9.
Alsaleh, Ghada, et al.. (2008). Etk/BMX, a Btk Family Tyrosine Kinase, and Mal Contribute to the Cross-Talk between MyD88 and FAK Pathways. The Journal of Immunology. 180(5). 3485–3491. 33 indexed citations
10.
11.
Neff, L., Mirjam B. Zeisel, Ken Takeda, et al.. (2003). ERK 1/2- and JNKs-dependent Synthesis of Interleukins 6 and 8 by Fibroblast-like Synoviocytes Stimulated with Protein I/II, a Modulin from Oral Streptococci, Requires Focal Adhesion Kinase. Journal of Biological Chemistry. 278(30). 27721–27728. 39 indexed citations
12.
13.
Frisch, Benoı̂t, et al.. (1999). Design of highly immunogenic liposomal constructs combining structurally independent B cell and T helper cell peptide epitopes. European Journal of Immunology. 29(7). 2297–2308. 38 indexed citations
14.
Chatenay‐Rivauday, Christian, et al.. (1999). Involvement of alpha5beta1 integrins in interleukin 8 production induced by oral viridans streptococcal protein I/IIf in cultured endothelial cells. Cellular Microbiology. 1(2). 157–168. 27 indexed citations
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Gangloff, Sophie C., et al.. (1994). Immunogenicity of polysaccharides conjugated to peptides containing T- and B-cell epitopes. Infection and Immunity. 62(3). 785–792. 25 indexed citations
18.
Coupin, Gilliane, et al.. (1992). Human Interferons-α Inhibit the Production of Immunoglobulin M by Secreting and Nonsecreting Lymphoblastoid Cell Lines. Journal of Interferon Research. 12(5). 337–343. 1 indexed citations
19.
Ogier, Joëlle, et al.. (1990). Molecular characterization of the gene sr of the saliva interacting protein from Streptococcus mutans OMZ175. Archives of Oral Biology. 35. S25–S31. 12 indexed citations
20.
Wachsmann, Dominique, J.P. Klein, M Schöller, & R.M. Frank. (1985). Local and systemic immune response to orally administered liposome-associated soluble S. mutans cell wall antigens.. PubMed. 54(1). 189–93. 47 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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