Silke Mark

401 total citations
8 papers, 329 citations indexed

About

Silke Mark is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cancer Research. According to data from OpenAlex, Silke Mark has authored 8 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Silke Mark's work include Growth Hormone and Insulin-like Growth Factors (6 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Silke Mark is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (6 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Silke Mark collaborates with scholars based in Germany and United States. Silke Mark's co-authors include Linda C. Giudice, Juan C. Irwin, L.-F. Suen, Ludger Ständker, Wolf‐Georg Forssmann, Thomas Braulke, Stefan Höning, Markus Meyer, Guillermo Giménez‐Gallego and Hossein Mostafavi and has published in prestigious journals such as Biochemistry, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Silke Mark

8 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Silke Mark Germany	7	138	122	95	93	88	8	329
K.E. Humphrey Australia	6	132 1.0×	55 0.5×	35 0.4×	84 0.9×	182 2.1×	7	357
Hagai Kaneti Israel	12	76 0.6×	67 0.5×	57 0.6×	102 1.1×	49 0.6×	17	404
S.‐T. Joseph Huang United States	7	135 1.0×	14 0.1×	58 0.6×	72 0.8×	156 1.8×	7	340
Ritsuo Honda Japan	10	88 0.6×	15 0.1×	50 0.5×	52 0.6×	87 1.0×	23	323
Enid Pruysers Australia	9	85 0.6×	72 0.6×	137 1.4×	16 0.2×	117 1.3×	11	413
Hasida Orenstein Israel	13	149 1.1×	16 0.1×	97 1.0×	78 0.8×	314 3.6×	22	474
U. Sancken Germany	10	36 0.3×	20 0.2×	99 1.0×	94 1.0×	30 0.3×	18	368
Santha Srisuparp United States	7	114 0.8×	19 0.2×	50 0.5×	27 0.3×	246 2.8×	9	336
Rebeca Caze United States	6	228 1.7×	13 0.1×	68 0.7×	59 0.6×	274 3.1×	9	464
W. Winckler Germany	9	114 0.8×	10 0.1×	101 1.1×	45 0.5×	140 1.6×	12	342

Countries citing papers authored by Silke Mark

Since Specialization

Citations

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

Fields of papers citing papers by Silke Mark

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silke Mark

This figure shows the co-authorship network connecting the top 25 collaborators of Silke Mark. A scholar is included among the top collaborators of Silke Mark 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 Silke Mark. Silke Mark 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.

Mark, Silke, Bernd Kübler, Stefan Höning, et al.. (2005). Diversity of Human Insulin-like Growth Factor (IGF) Binding Protein-2 Fragments in Plasma: Primary Structure, IGF-Binding Properties, and Disulfide Bonding Pattern. Biochemistry. 44(9). 3644–3652. 26 indexed citations

2.

Ständker, Ludger, et al.. (2003). In vivo processed fragments of IGF binding protein-2 copurified with bioactive IGF-II. Biochemical and Biophysical Research Communications. 304(4). 708–713. 6 indexed citations

3.

Ständker, Ludger, Thomas Braulke, Silke Mark, et al.. (2000). Partial IGF Affinity of Circulating N- and C-Terminal Fragments of Human Insulin-like Growth Factor Binding Protein-4 (IGFBP-4) and the Disulfide Bonding Pattern of the C-Terminal IGFBP-4 Domain. Biochemistry. 39(17). 5082–5088. 42 indexed citations

4.

Ständker, Ludger, et al.. (1999). Application of a peptide bank from porcine brain in isolation of regulatory peptides. Journal of Chromatography A. 852(1). 273–283. 5 indexed citations

5.

Mark, Silke, W.G. Forssmann, & Ludger Ständker. (1999). Strategy for identifying circulating fragments of insulin-like growth factor binding proteins in a hemofiltrate peptide bank. Journal of Chromatography A. 852(1). 197–205. 7 indexed citations

6.

Irwin, Juan C., et al.. (1999). Role of the IGF system in trophoblast invasion and pre-eclampsia. Human Reproduction. 14(suppl 2). 90–98. 133 indexed citations

7.

Ständker, Ludger, et al.. (1998). Isolation and characterization of circulating 13‐kDa C‐terminal fragments of human insulin‐like growth factor binding protein‐5. FEBS Letters. 441(2). 281–286. 31 indexed citations

8.

Giudice, Linda C., Silke Mark, & Juan C. Irwin. (1998). Paracrine actions of insulin-like growth factors and IGF binding protein-1 in non-pregnant human endometrium and at the decidual–trophoblast interface. Journal of Reproductive Immunology. 39(1-2). 133–148. 79 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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