Gabriele Rieck

442 total citations
8 papers, 370 citations indexed

About

Gabriele Rieck is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gabriele Rieck has authored 8 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Molecular Biology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Gabriele Rieck's work include Cancer-related Molecular Pathways (5 papers), Melanoma and MAPK Pathways (2 papers) and Cancer Cells and Metastasis (2 papers). Gabriele Rieck is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), Melanoma and MAPK Pathways (2 papers) and Cancer Cells and Metastasis (2 papers). Gabriele Rieck collaborates with scholars based in Germany. Gabriele Rieck's co-authors include Karin Milde‐Langosch, Thomas Löning, Ana‐Maria Bamberger, Volkmar Müller, Daniel Grund, Thomas Löning, Christoph Wagener and Jens Brümmer and has published in prestigious journals such as British Journal of Cancer, International Journal of Cancer and Breast Cancer Research and Treatment.

In The Last Decade

Gabriele Rieck

8 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gabriele Rieck Germany	6	206	198	72	47	46	8	370
Manuela Kohler Germany	9	164 0.8×	173 0.9×	34 0.5×	44 0.9×	47 1.0×	11	342
Layka Abbasi Asbagh Belgium	7	315 1.5×	172 0.9×	143 2.0×	31 0.7×	59 1.3×	9	464
H.-G. Schnürch Germany	7	203 1.0×	201 1.0×	145 2.0×	126 2.7×	41 0.9×	24	449
Kousuke Yoshinaga Japan	12	352 1.7×	101 0.5×	127 1.8×	39 0.8×	42 0.9×	19	489
L. Edwards Australia	7	139 0.7×	142 0.7×	73 1.0×	21 0.4×	39 0.8×	7	363
Maria Bisogna United States	12	220 1.1×	157 0.8×	185 2.6×	76 1.6×	75 1.6×	14	425
Betül T. Yesilyurt Belgium	8	184 0.9×	194 1.0×	140 1.9×	38 0.8×	89 1.9×	9	452
Miyuki Kurai Japan	9	215 1.0×	130 0.7×	76 1.1×	65 1.4×	28 0.6×	10	424
Tang Bu-jian China	8	205 1.0×	125 0.6×	120 1.7×	23 0.5×	21 0.5×	15	385
Catherine J. Kennedy Australia	13	234 1.1×	194 1.0×	119 1.7×	34 0.7×	176 3.8×	25	560

Countries citing papers authored by Gabriele Rieck

Since Specialization

Citations

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

Fields of papers citing papers by Gabriele Rieck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Rieck

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

Milde‐Langosch, Karin, et al.. (2005). Expression and prognostic relevance of activated extracellular-regulated kinases (ERK1/2) in breast cancer. British Journal of Cancer. 92(12). 2206–2215. 91 indexed citations

Rieck, Gabriele, et al.. (2005). Expression and prognostic relevance of activated extracellular-regulated kinases (ERK1/2) in breast cancer. Zentralblatt für Gynäkologie. 127(4). 1 indexed citations

Milde‐Langosch, Karin, et al.. (2001). Overexpression of the p16 Cell Cycle Inhibitor in Breast Cancer is Associated with a More Malignant Phenotype. Breast Cancer Research and Treatment. 67(1). 61–70. 135 indexed citations

Milde‐Langosch, Karin, et al.. (2001). Expression of Rb2/p130 in breast and endometrial cancer: correlations with hormone receptor status. British Journal of Cancer. 85(4). 546–551. 25 indexed citations

Milde‐Langosch, Karin, et al.. (2001). Expression of cell-cycle regulatory proteins in endometrial carcinomas: correlations with hormone receptor status and clinicopathologic parameters. Journal of Cancer Research and Clinical Oncology. 127(9). 537–544. 50 indexed citations

Bamberger, Ana‐Maria, Gabriele Rieck, Jens Brümmer, et al.. (2001). Expression of the adhesion molecule CEACAM1 (CD66a, BGP, C-CAM) in breast cancer is associated with the expression of the tumor-suppressor genes Rb, Rb2, and p27. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 440(2). 139–144. 9 indexed citations

Milde‐Langosch, Karin, et al.. (2000). Expression of cell cycle–regulatory proteins Rb, p16/MTS1, p27/KIP1, p21/WAF1, cyclin D1 and cyclin E in breast cancer: Correlations with expression of activating protein‐1 family members. International Journal of Cancer. 87(4). 468–472. 1 indexed citations

Milde‐Langosch, Karin, et al.. (2000). Expression of cell cycle-regulatory proteins Rb, p16/MTS1, p27/KIP1, p21/WAF1, cyclin D1 and cyclin E in breast cancer: Correlations with expression of activating protein-1 family members. International Journal of Cancer. 87(4). 468–472. 58 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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