Raymonde Hotz

779 total citations
11 papers, 603 citations indexed

About

Raymonde Hotz is a scholar working on Molecular Biology, Immunology and Microbiology. According to data from OpenAlex, Raymonde Hotz has authored 11 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Microbiology. Recurrent topics in Raymonde Hotz's work include S100 Proteins and Annexins (5 papers), Immune Response and Inflammation (4 papers) and Antimicrobial Peptides and Activities (4 papers). Raymonde Hotz is often cited by papers focused on S100 Proteins and Annexins (5 papers), Immune Response and Inflammation (4 papers) and Antimicrobial Peptides and Activities (4 papers). Raymonde Hotz collaborates with scholars based in Switzerland and Sweden. Raymonde Hotz's co-authors include Georges Siegenthaler, Dominique Chatellard-Gruaz, Jean‐Hilaire Saurat, J.‐H. Saurat, Gerry Hagens, Ulf Hellman, Karen Roulin, Stefano Jaconi, J.‐H. Saurat and Ivan Stamenkovic and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical Journal.

In The Last Decade

Raymonde Hotz

11 papers receiving 582 citations

Peers

Raymonde Hotz
Joe M. Angel United States
David Piwnica France
И. В. Коробко Russia
Yitang Li United States
Hsiang Ho United States
Frederic Bone United States
Else Walbum Denmark
Mariam George United States
Andreas Ambach Germany
Ulrich Kloz Germany
Joe M. Angel United States
Raymonde Hotz
Citations per year, relative to Raymonde Hotz Raymonde Hotz (= 1×) peers Joe M. Angel

Countries citing papers authored by Raymonde Hotz

Since Specialization
Citations

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

Fields of papers citing papers by Raymonde Hotz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raymonde Hotz

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

All Works

11 of 11 papers shown
1.
Tran, Christian, Olivier Sorg, Raymonde Hotz, et al.. (2010). Synergistic Effect of Hyaluronate Fragments in Retinaldehyde-Induced Skin Hyperplasia Which Is a Cd44-Dependent Phenomenon. PLoS ONE. 5(12). e14372–e14372. 27 indexed citations
2.
Kaya, Gürkan, Christian Tran, Olivier Sorg, et al.. (2006). Hyaluronate Fragments Reverse Skin Atrophy by a CD44-Dependent Mechanism. PLoS Medicine. 3(12). e493–e493. 100 indexed citations
3.
Hagens, Gerry, Karen Roulin, Raymonde Hotz, et al.. (1999). Probable interaction between S100A7 and E-FABP in the cytosol of human keratinocytes from psoriatic scales. Molecular and Cellular Biochemistry. 192(1-2). 123–128. 31 indexed citations
4.
Roulin, Karen, Gerry Hagens, Raymonde Hotz, et al.. (1999). The Fatty Acid-Binding Heterocomplex FA-p34 Formed by S100A8 and S100A9 Is the Major Fatty Acid Carrier in Neutrophils and Translocates from the Cytosol to the Membrane upon Stimulation. Experimental Cell Research. 247(2). 410–421. 31 indexed citations
5.
Hagens, Gerry, et al.. (1999). Calcium-binding protein S100A7 and epidermal-type fatty acid-binding protein are associated in the cytosol of human keratinocytes. Biochemical Journal. 339(2). 419–427. 51 indexed citations
6.
Hagens, Gerry, et al.. (1999). Calcium-binding protein S100A7 and epidermal-type fatty acid-binding protein are associated in the cytosol of human keratinocytes. Biochemical Journal. 339(2). 419–419. 17 indexed citations
7.
Siegenthaler, Georges, Karen Roulin, Dominique Chatellard-Gruaz, et al.. (1997). A Heterocomplex Formed by the Calcium-binding Proteins MRP8 (S100A8) and MRP14 (S100A9) Binds Unsaturated Fatty Acids with High Affinity. Journal of Biological Chemistry. 272(14). 9371–9377. 83 indexed citations
8.
9.
Siegenthaler, Georges, Raymonde Hotz, Dominique Chatellard-Gruaz, Stefano Jaconi, & J.‐H. Saurat. (1993). Characterization and Expression of a Novel Human Fatty Acid-Binding Protein: The Epidermal Type (E-FABP). Biochemical and Biophysical Research Communications. 190(2). 482–487. 84 indexed citations
10.
Siegenthaler, Georges, et al.. (1986). Cellular Retinoic Acid- but Not Cellular Retinol-Binding Protein Is Elevated in Psoriatic Plaques. Journal of Investigative Dermatology. 86(1). 42–45. 41 indexed citations
11.
Siegenthaler, Georges, J.‐H. Saurat, C Morin, & Raymonde Hotz. (1984). Cellular retinol- and retinoic acid-binding proteins in the epidermis and dermis of normal human skin. British Journal of Dermatology. 111(6). 647–654. 43 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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