Carmen Doebele

3.1k total citations · 1 hit paper
15 papers, 2.3k citations indexed

About

Carmen Doebele is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Carmen Doebele has authored 15 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Cancer Research and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Carmen Doebele's work include MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers) and RNA modifications and cancer (3 papers). Carmen Doebele is often cited by papers focused on MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers) and RNA modifications and cancer (3 papers). Carmen Doebele collaborates with scholars based in Germany, United Kingdom and Italy. Carmen Doebele's co-authors include Stefanie Dimmeler, Andreas M. Zeiher, Angelika Bonauer, Carmen Urbich, Ariane Fischer, Emmanouil Chavakis, Marc Tjwa, Marina Mione, Henrik Fox and Michael Potente and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Carmen Doebele

15 papers receiving 2.2k 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.

MicroRNA-92a Controls Angiogenesis and Functional Recovery of Ischemic Tissues in Mice

2009 987 citations Angelika Bonauer, Guillaume Carmona et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carmen Doebele Germany	15	1.8k	1.4k	198	180	172	15	2.3k
Eduard Hergenreider Germany	7	1.5k 0.8×	1.1k 0.8×	209 1.1×	223 1.2×	80 0.5×	9	1.9k
Yosif Manavski Germany	15	1.3k 0.7×	931 0.7×	113 0.6×	172 1.0×	72 0.4×	18	1.8k
Giuseppina De Petro Italy	25	1.1k 0.6×	1.0k 0.7×	153 0.8×	91 0.5×	236 1.4×	65	1.8k
Deshui Jia China	17	1.1k 0.6×	717 0.5×	112 0.6×	147 0.8×	307 1.8×	24	1.6k
Sunila Pradeep United States	26	1.1k 0.6×	622 0.5×	167 0.8×	361 2.0×	499 2.9×	64	1.9k
Guohan Hu China	25	987 0.6×	529 0.4×	124 0.6×	85 0.5×	220 1.3×	65	1.5k
Edward L. LaGory United States	18	927 0.5×	718 0.5×	256 1.3×	242 1.3×	312 1.8×	25	1.5k
Anna Kuchnio Belgium	10	1.0k 0.6×	683 0.5×	132 0.7×	238 1.3×	401 2.3×	12	1.6k
Maimon E. Hubbi United States	14	779 0.4×	696 0.5×	83 0.4×	107 0.6×	190 1.1×	21	1.4k

Countries citing papers authored by Carmen Doebele

Since Specialization

Citations

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

Fields of papers citing papers by Carmen Doebele

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Doebele

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

All Works

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15 of 15 papers shown

Fang, Pan, Yanlong Ji, Ivan Silbern, et al.. (2020). A streamlined pipeline for multiplexed quantitative site-specific N-glycoproteomics. Nature Communications. 11(1). 5268–5268. 51 indexed citations

Fish, Kamonwan, Federico Comoglio, Arthur L. Shaffer, et al.. (2020). Rewiring of B cell receptor signaling by Epstein–Barr virus LMP2A. Proceedings of the National Academy of Sciences. 117(42). 26318–26327. 49 indexed citations

Doebele, Carmen, et al.. (2017). The G-patch protein NF-κB-repressing factor mediates the recruitment of the exonuclease XRN2 and activation of the RNA helicase DHX15 in human ribosome biogenesis. Nucleic Acids Research. 45(9). gkx013–gkx013. 52 indexed citations

Pan, Kuan‐Ting, Roland B. Walter, Carmen Doebele, et al.. (2016). Elucidation of tonic and activated B-cell receptor signaling in Burkitt’s lymphoma provides insights into regulation of cell survival. Proceedings of the National Academy of Sciences. 113(20). 5688–5693. 31 indexed citations

Walter, Roland B., Kuan‐Ting Pan, Carmen Doebele, et al.. (2016). HSP90 promotes Burkitt lymphoma cell survival by maintaining tonic B-cell receptor signaling. Blood. 129(5). 598–608. 18 indexed citations

Doebele, Carmen, Anuradha Doddaballapur, Victoria Lang, et al.. (2015). MicroRNA-30 mediates anti-inflammatory effects of shear stress and KLF2 via repression of angiopoietin 2. Journal of Molecular and Cellular Cardiology. 88. 111–119. 48 indexed citations

Sloan, Katherine E., Matthias S. Leisegang, Carmen Doebele, et al.. (2014). The association of late-acting snoRNPs with human pre-ribosomal complexes requires the RNA helicase DDX21. Nucleic Acids Research. 43(1). 553–564. 65 indexed citations

Martin, Roman, et al.. (2013). DExD/H-box RNA helicases in ribosome biogenesis. RNA Biology. 10(1). 4–18. 106 indexed citations

Kaluza, David, Jens Krøll, Sabine Gesierich, et al.. (2013). Histone Deacetylase 9 Promotes Angiogenesis by Targeting the Antiangiogenic MicroRNA-17–92 Cluster in Endothelial Cells. Arteriosclerosis Thrombosis and Vascular Biology. 33(3). 533–543. 94 indexed citations

10.

Pullamsetti, Soni Savai, Carmen Doebele, Ariane Fischer, et al.. (2012). Inhibition Of MicroRNA-17 Improves Lung And Heart Function In Experimental Pulmonary Hypertension. A2617–A2617. 16 indexed citations

11.

Pullamsetti, Soni Savai, Carmen Doebele, Ariane Fischer, et al.. (2011). Inhibition of MicroRNA-17 Improves Lung and Heart Function in Experimental Pulmonary Hypertension. American Journal of Respiratory and Critical Care Medicine. 185(4). 409–419. 185 indexed citations

12.

Urbich, Carmen, David Kaluza, Timo Frömel, et al.. (2011). MicroRNA-27a/b controls endothelial cell repulsion and angiogenesis by targeting semaphorin 6A. Blood. 119(6). 1607–1616. 193 indexed citations

13.

Vafaizadeh, Vida, Petra Klemmt, Christian Brendel, et al.. (2010). Mammary Epithelial Reconstitution with Gene-Modified Stem Cells Assigns Roles to Stat5 in Luminal Alveolar Cell Fate Decisions, Differentiation, Involution, and Mammary Tumor Formation. Stem Cells. 28(5). 928–938. 70 indexed citations

14.

Doebele, Carmen, Angelika Bonauer, Ariane Fischer, et al.. (2010). Members of the microRNA-17-92 cluster exhibit a cell-intrinsic antiangiogenic function in endothelial cells. Blood. 115(23). 4944–4950. 308 indexed citations

15.

Bonauer, Angelika, Guillaume Carmona, Masayoshi Iwasaki, et al.. (2009). MicroRNA-92a Controls Angiogenesis and Functional Recovery of Ischemic Tissues in Mice. Science. 324(5935). 1710–1713. 987 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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