Gerry Hagens

472 total citations
9 papers, 394 citations indexed

About

Gerry Hagens is a scholar working on Molecular Biology, Immunology and Microbiology. According to data from OpenAlex, Gerry Hagens has authored 9 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Immunology and 3 papers in Microbiology. Recurrent topics in Gerry Hagens's work include Immune Response and Inflammation (5 papers), S100 Proteins and Annexins (5 papers) and Antimicrobial Peptides and Activities (3 papers). Gerry Hagens is often cited by papers focused on Immune Response and Inflammation (5 papers), S100 Proteins and Annexins (5 papers) and Antimicrobial Peptides and Activities (3 papers). Gerry Hagens collaborates with scholars based in Switzerland, Sweden and United States. Gerry Hagens's co-authors include Georges Siegenthaler, Raymonde Hotz, Jean‐Hilaire Saurat, Karen Roulin, Isabelle Masouyé, Ulf Hellman, Dominique Chatellard-Gruaz, Jacques H. Veerkamp, J.‐H. Saurat and D. Dobbelaere and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation Research.

In The Last Decade

Gerry Hagens

9 papers receiving 389 citations

Peers

Gerry Hagens

MB

IMMUN

CR

PARAS

CB

María Laura Sáiz Spain

Shao-bing Hua United States

Lara Vecchi Brazil

Xiuzhen Yan United States

Meghan L. Marré United States

H S Koren United States

Sha Zhu China

Winnie W. Hui United States

Gergely Imre Germany

Shahabuddin Alam United States

María Laura Sáiz Spain

Gerry Hagens

264 ×0.9

MB

247 ×1.8

IMMUN

50 ×0.6

CR

30 ×0.7

PARAS

52 ×1.4

CB

Citations per year, relative to Gerry Hagens Gerry Hagens (= 1×) peers María Laura Sáiz

Countries citing papers authored by Gerry Hagens

Since Specialization

Citations

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

Fields of papers citing papers by Gerry Hagens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerry Hagens

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

All Works

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9 of 9 papers shown

1.

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

2.

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

3.

Hagens, Gerry, et al.. (1999). Differential regulation of tumor necrosing factor-alpha (TNF-alpha) and interleukin-10 (IL-10) secretion by protein kinase and phosphatase inhibitors in human alveolar macrophages.. PubMed. 10(2). 211–8. 17 indexed citations

4.

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

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). 419–419. 17 indexed citations

6.

Chatellard-Gruaz, Dominique, R. Keith Randolph, Gerry Hagens, Jean‐Hilaire Saurat, & Georges Siegenthaler. (1998). Differentiation of human epidermal keratinocytes is accompanied by increased expression of CRABP-II and increased cellular concentration of retinoic acids: retention of newly synthesized retinoic acids by CRABP-II. Journal of Lipid Research. 39(7). 1421–1429. 21 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.

Masouyé, Isabelle, Gerry Hagens, Toin H. Van Kuppevelt, et al.. (1997). Endothelial Cells of the Human Microvasculature Express Epidermal Fatty Acid–Binding Protein. Circulation Research. 81(3). 297–303. 69 indexed citations

9.

Hagens, Gerry, et al.. (1997). Jun NH₂-terminal kinase is constitutively activated in T cells transformed by the intracellular parasiteTheileria parva. Proceedings of the National Academy of Sciences. 94(10). 5119–5124. 74 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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