Conny Blumert

1.9k total citations · 1 hit paper
16 papers, 656 citations indexed

About

Conny Blumert is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Conny Blumert has authored 16 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Conny Blumert's work include Cytokine Signaling Pathways and Interactions (4 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer and Skin Lesions (2 papers). Conny Blumert is often cited by papers focused on Cytokine Signaling Pathways and Interactions (4 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer and Skin Lesions (2 papers). Conny Blumert collaborates with scholars based in Germany, United States and Denmark. Conny Blumert's co-authors include Friedemann Horn, Katja Brocke-Heidrich, Dennis Löffler, A. Kretzschmar, Jörg Hackermüller, Peter F. Stadler, Gabriele Pfeifer, Renate Burger, Martin Gramatzki and Kristin Reiche and has published in prestigious journals such as Blood, Oncogene and Scientific Reports.

In The Last Decade

Conny Blumert

15 papers receiving 649 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Interleukin-6–dependent survival of multiple myeloma cells involves the Stat3-mediated induction of microRNA-21 through a highly conserved enhancer

2007 524 citations Dennis Löffler, Katja Brocke-Heidrich et al. Blood profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Conny Blumert Germany	7	469	398	134	117	66	16	656
Gabriele Pfeifer Germany	5	453 1.0×	400 1.0×	129 1.0×	153 1.3×	108 1.6×	5	677
Rita Fragoso Portugal	13	387 0.8×	231 0.6×	167 1.2×	126 1.1×	106 1.6×	17	654
Andrew L. Wolfe United States	11	689 1.5×	401 1.0×	92 0.7×	172 1.5×	69 1.0×	21	916
Margherita Ghisi Australia	9	453 1.0×	222 0.6×	105 0.8×	217 1.9×	116 1.8×	11	663
Junli Yan Singapore	12	536 1.1×	195 0.5×	193 1.4×	171 1.5×	39 0.6×	22	786
Yanjun Gu China	11	348 0.7×	208 0.5×	77 0.6×	166 1.4×	38 0.6×	24	532
Francesca Liuzzi Italy	7	873 1.9×	863 2.2×	131 1.0×	45 0.4×	75 1.1×	16	1.1k
Parvathi Ranganathan United States	14	538 1.1×	189 0.5×	156 1.2×	107 0.9×	230 3.5×	37	764
Kaat Durinck Belgium	13	335 0.7×	178 0.4×	101 0.8×	93 0.8×	98 1.5×	26	548

Countries citing papers authored by Conny Blumert

Since Specialization

Citations

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

Fields of papers citing papers by Conny Blumert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conny Blumert

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

All Works

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16 of 16 papers shown

1.

Kreuz, Markus, Angelika Borkowetz, Ulrich Sommer, et al.. (2024). A reliable transcriptomic risk-score applicable to formalin-fixed paraffin-embedded biopsies improves outcome prediction in localized prostate cancer. Molecular Medicine. 30(1). 19–19. 2 indexed citations

2.

Löffler, Dennis, Conny Blumert, Kristin Reiche, et al.. (2023). Atypisches Fibroxanthom und pleomorphes dermales Sarkom – Genexpressionsanalyse im Vergleich zum entdifferenzierten Plattenepithelkarzinom der Haut. JDDG Journal der Deutschen Dermatologischen Gesellschaft. 21(5). 482–492.

3.

Löffler, Dennis, Conny Blumert, Kristin Reiche, et al.. (2023). Transcriptomic signatures reveal a shift towards an anti-inflammatory gene expression profile but also the induction of type I and type II interferon signaling networks through aryl hydrocarbon receptor activation in murine macrophages. Frontiers in Immunology. 14. 1156493–1156493. 5 indexed citations

4.

Neuhaus, Vanessa, Dennis Löffler, Conny Blumert, et al.. (2023). A time-resolved meta-analysis of consensus gene expression profiles during human T-cell activation. Genome biology. 24(1). 287–287. 8 indexed citations

5.

Löffler, Dennis, Conny Blumert, Kristin Reiche, et al.. (2023). Atypical fibroxanthoma and pleomorphic dermal sarcoma – gene expression analysis compared with undifferentiated cutaneous squamous cell carcinoma. JDDG Journal der Deutschen Dermatologischen Gesellschaft. 21(5). 482–491. 2 indexed citations

6.

Füssel, S., Dennis Löffler, Conny Blumert, et al.. (2023). Characterization and evaluation of gene fusions as a measure of genetic instability and disease prognosis in prostate cancer. BMC Cancer. 23(1). 575–575. 2 indexed citations

7.

Reiche, Kristin, Conny Blumert, Friedemann Horn, et al.. (2021). RNA sequencing of glioblastoma tissue slice cultures reveals the effects of treatment at the transcriptional level. FEBS Open Bio. 12(2). 480–493. 1 indexed citations

8.

Reiche, Kristin, Conny Blumert, Sven-Holger Puppel, et al.. (2019). Deep sequencing and automated histochemistry of human tissue slice cultures improve their usability as preclinical model for cancer research. Scientific Reports. 9(1). 19961–19961. 8 indexed citations

9.

Kalkhof, Stefan, et al.. (2016). PIPINO: A Software Package to Facilitate the Identification of Protein-Protein Interactions from Affinity Purification Mass Spectrometry Data. BioMed Research International. 2016. 1–13. 1 indexed citations

10.

Hackermüller, Jörg, Kristin Reiche, Christian Otto, et al.. (2014). Cell cycle, oncogenic and tumor suppressor pathways regulate numerous long and macro non-protein-coding RNAs. 15(3). 1 indexed citations

11.

Hackermüller, Jörg, Kristin Reiche, Christian Otto, et al.. (2014). Cell cycle, oncogenic and tumor suppressor pathways regulate numerous long and macro non-protein-coding RNAs. Genome biology. 15(3). R48–R48. 35 indexed citations

12.

Blumert, Conny, et al.. (2013). Analysis of the STAT3 interactome using in-situ biotinylation and SILAC. Journal of Proteomics. 94. 370–386. 8 indexed citations

13.

Kretzschmar, A., Conny Blumert, Dennis Löffler, et al.. (2009). Cyclophilins contribute to Stat3 signaling and survival of multiple myeloma cells. Oncogene. 28(31). 2784–2795. 51 indexed citations

14.

Blumert, Conny, Nora Mörbt, Martin von Bergen�, & Friedemann Horn. (2009). Combination of SILAC and in situ biotinylation to detect specific protein interacions. Cell Communication and Signaling. 7(S1). 1 indexed citations

15.

Löffler, Dennis, Gabriele Pfeifer, Conny Blumert, et al.. (2009). Co-activator SRC-1 is dispensable for transcriptional control by STAT3. Biochemical Journal. 420(1). 123–132. 7 indexed citations

16.

Löffler, Dennis, Katja Brocke-Heidrich, Gabriele Pfeifer, et al.. (2007). Interleukin-6–dependent survival of multiple myeloma cells involves the Stat3-mediated induction of microRNA-21 through a highly conserved enhancer. Blood. 110(4). 1330–1333. 524 indexed citations breakdown →

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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