S Gack

504 total citations
8 papers, 427 citations indexed

About

S Gack is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, S Gack has authored 8 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 4 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in S Gack's work include Protease and Inhibitor Mechanisms (5 papers), Bone health and treatments (3 papers) and Peptidase Inhibition and Analysis (2 papers). S Gack is often cited by papers focused on Protease and Inhibitor Mechanisms (5 papers), Bone health and treatments (3 papers) and Peptidase Inhibition and Analysis (2 papers). S Gack collaborates with scholars based in Germany, Austria and Switzerland. S Gack's co-authors include Peter Angel, Rüdiger Vallon, Jörg Schaper, Erwin F. Wagner, Agamemnon E. Grigoriadis, Jörg Schmidt, Jan Tuckermann, Johannes Schenkel, Hans Weiher and Ulrich Rüther and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and Biochemical Journal.

In The Last Decade

S Gack

8 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S Gack Germany	8	204	202	124	77	52	8	427
Margaret L. Patterson United Kingdom	6	247 1.2×	187 0.9×	130 1.0×	48 0.6×	51 1.0×	8	465
Pernille A. Usher Denmark	11	215 1.1×	152 0.8×	142 1.1×	32 0.4×	29 0.6×	14	423
Ángela Pollán Spain	7	134 0.7×	209 1.0×	87 0.7×	19 0.2×	22 0.4×	8	393
Rayna Rosati United States	12	72 0.4×	216 1.1×	91 0.7×	94 1.2×	154 3.0×	24	430
Masashi Tomisawa Japan	10	143 0.7×	286 1.4×	178 1.4×	27 0.4×	32 0.6×	11	486
Sonia D’Souza United States	9	54 0.3×	165 0.8×	96 0.8×	19 0.2×	32 0.6×	17	323
Rebecca Mosig United States	10	219 1.1×	196 1.0×	170 1.4×	108 1.4×	101 1.9×	22	491
michel schmid France	9	52 0.3×	172 0.9×	69 0.6×	29 0.4×	76 1.5×	12	413
Albane A. Bizet Canada	6	55 0.3×	279 1.4×	114 0.9×	25 0.3×	56 1.1×	8	427
Gregory Kumkumian United States	8	144 0.7×	120 0.6×	157 1.3×	233 3.0×	31 0.6×	8	507

Countries citing papers authored by S Gack

Since Specialization

Citations

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

Fields of papers citing papers by S Gack

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Gack

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

All Works

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8 of 8 papers shown

1.

Gack, S, Alexander Marmé, Frederik Marmé, et al.. (2005). Preeclampsia: increased expression of soluble ADAM 12. Journal of Molecular Medicine. 83(11). 887–896. 40 indexed citations

2.

Florin, Lore, Lars Hummerich, Bernd Thilo Dittrich, et al.. (2004). Identification of novel AP-1 target genes in fibroblasts regulated during cutaneous wound healing. Oncogene. 23(42). 7005–7017. 51 indexed citations

3.

Först, Thomas, J Eriksson, Shi Bai, et al.. (2003). Metabolic Effects of Mealtime Insulin Lispro in Comparison to Glibenclamide in Early Type 2 Diabetes. Experimental and Clinical Endocrinology & Diabetes. 111(2). 97–103. 11 indexed citations

4.

Tuckermann, Jan, Rüdiger Vallon, S Gack, et al.. (2001). Expression of collagenase-3 (MMP-13) in c-Fos-induced osteosarcomas and chondrosarcomas is restricted to a subset of cells of the osteo-/chondrogenic lineage. Differentiation. 69(1). 49–57. 10 indexed citations

5.

Schorpp, Marina, Marie‐Geneviève Mattéi, Ingrid Herr, et al.. (1995). Structural organization and chromosomal localization of the mouse collagenase type I gene. Biochemical Journal. 308(1). 211–217. 58 indexed citations

6.

Gack, S, Rüdiger Vallon, Jörg Schmidt, et al.. (1995). Expression of interstitial collagenase during skeletal development of the mouse is restricted to osteoblast-like cells and hypertrophic chondrocytes.. PubMed. 6(6). 759–67. 134 indexed citations

7.

Spieß, Eberhard, et al.. (1994). Cathepsin B activity in human lung tumor cell lines: ultrastructural localization, pH sensitivity, and inhibitor status at the cellular level.. Journal of Histochemistry & Cytochemistry. 42(7). 917–929. 54 indexed citations

8.

Gack, S, Rüdiger Vallon, Jörg Schaper, Ulrich Rüther, & Peter Angel. (1994). Phenotypic alterations in fos-transgenic mice correlate with changes in Fos/Jun-dependent collagenase type I expression. Regulation of mouse metalloproteinases by carcinogens, tumor promoters, cAMP, and Fos oncoprotein.. Journal of Biological Chemistry. 269(14). 10363–10369. 69 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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