Ute Bissels

4.6k total citations
11 papers, 430 citations indexed

About

Ute Bissels is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Ute Bissels has authored 11 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Ute Bissels's work include MicroRNA in disease regulation (6 papers), RNA Interference and Gene Delivery (5 papers) and Virus-based gene therapy research (3 papers). Ute Bissels is often cited by papers focused on MicroRNA in disease regulation (6 papers), RNA Interference and Gene Delivery (5 papers) and Virus-based gene therapy research (3 papers). Ute Bissels collaborates with scholars based in Germany, United States and Australia. Ute Bissels's co-authors include Andreas Bosio, Wolfgang Wagner, Stefan Wild, Markus Hafner, Thomas Tuschl, Stefan Tomiuk, Yeong‐Hoon Choi, Hartmut Scheel, Aleksandra Mihailović and Kévin Lebrigand and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Ute Bissels

11 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ute Bissels Germany	7	345	271	48	42	24	11	430
Francesca Aglialoro Netherlands	7	182 0.5×	127 0.5×	32 0.7×	22 0.5×	58 2.4×	10	326
Marcella Marchioni Italy	8	541 1.6×	387 1.4×	35 0.7×	15 0.4×	81 3.4×	12	640
Christiaan J. Stavast Netherlands	6	262 0.8×	238 0.9×	10 0.2×	17 0.4×	37 1.5×	7	339
Dietmar Seiffert United States	5	119 0.3×	104 0.4×	81 1.7×	28 0.7×	43 1.8×	6	305
Juliana Xavier-Ferrucio United States	8	215 0.6×	100 0.4×	145 3.0×	62 1.5×	56 2.3×	10	376
Rebecca H. Horton United Kingdom	4	182 0.5×	65 0.2×	77 1.6×	43 1.0×	50 2.1×	8	295
Joshua G Nichols United States	10	486 1.4×	74 0.3×	11 0.2×	32 0.8×	26 1.1×	12	547
Cristina Leoni Switzerland	9	243 0.7×	99 0.4×	76 1.6×	46 1.1×	149 6.2×	13	401
Brynelle Myers United Kingdom	3	204 0.6×	79 0.3×	52 1.1×	15 0.4×	67 2.8×	6	280
Edyta E. Wojtowicz United Kingdom	7	161 0.5×	145 0.5×	54 1.1×	32 0.8×	177 7.4×	10	335

Countries citing papers authored by Ute Bissels

Since Specialization

Citations

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

Fields of papers citing papers by Ute Bissels

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ute Bissels

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

All Works

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11 of 11 papers shown

Kumar, Sachin, Kalpana Nattamai, Aishlin Hassan, et al.. (2020). Repolarization of HSC attenuates HSCs failure in Shwachman–Diamond syndrome. Leukemia. 35(6). 1751–1762. 6 indexed citations

Papanikolaou, Eleni, et al.. (2019). Automation in Hemopoietic Stem Cell Gene Therapy: Results of a Head-to-Head Comparison of a Manual Vs an Automated Procedure. Blood. 134(Supplement_1). 5753–5753. 1 indexed citations

Béclin, Christophe, Philipp Follert, Elke Stappers, et al.. (2016). miR-200 family controls late steps of postnatal forebrain neurogenesis via Zeb2 inhibition. Scientific Reports. 6(1). 35729–35729. 35 indexed citations

Bosio, Andreas, et al.. (2016). Delivery of RNA-based molecules to human hematopoietic stem and progenitor cells for modulation of gene expression. Experimental Hematology. 44(11). 991–1001. 4 indexed citations

Jurk, Marion, et al.. (2015). RNA-based, transient modulation of gene expression in human haematopoietic stem and progenitor cells. Scientific Reports. 5(1). 17184–17184. 10 indexed citations

Walenda, Thomas, Edgar Jost, Tim H. Brümmendorf, et al.. (2015). MicroRNA expression profiles of serum from patients before and after chemotherapy. Genomics Data. 6. 125–127. 7 indexed citations

Walenda, Thomas, Edgar Jost, Elizabeth Morin‐Kensicki, et al.. (2015). MicroRNAs and Metabolites in Serum Change after Chemotherapy: Impact on Hematopoietic Stem and Progenitor Cells. PLoS ONE. 10(5). e0128231–e0128231. 6 indexed citations

Borkham‐Kamphorst, Erawan, Henning W. Zimmermann, Nikolaus Gaßler, et al.. (2012). Factor VII activating protease (FSAP) exerts anti-inflammatory and anti-fibrotic effects in liver fibrosis in mice and men. Journal of Hepatology. 58(1). 104–111. 25 indexed citations

Bissels, Ute, Andreas Bosio, & Wolfgang Wagner. (2011). MicroRNAs are shaping the hematopoietic landscape. Haematologica. 97(2). 160–167. 101 indexed citations

10.

Bissels, Ute, Stefan Wild, Stefan Tomiuk, et al.. (2011). Combined Characterization of microRNA and mRNA Profiles Delineates Early Differentiation Pathways of CD133+ and CD34+ Hematopoietic Stem and Progenitor Cells. Stem Cells. 29(5). 847–857. 68 indexed citations

11.

Bissels, Ute, Stefan Wild, Stefan Tomiuk, et al.. (2009). Absolute quantification of microRNAs by using a universal reference. RNA. 15(12). 2375–2384. 167 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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