Gabriele Pfeifer

850 total citations · 1 hit paper
5 papers, 677 citations indexed

About

Gabriele Pfeifer is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Gabriele Pfeifer has authored 5 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Gabriele Pfeifer's work include Cytokine Signaling Pathways and Interactions (3 papers), Circular RNAs in diseases (2 papers) and RNA Interference and Gene Delivery (1 paper). Gabriele Pfeifer is often cited by papers focused on Cytokine Signaling Pathways and Interactions (3 papers), Circular RNAs in diseases (2 papers) and RNA Interference and Gene Delivery (1 paper). Gabriele Pfeifer collaborates with scholars based in Germany and United States. Gabriele Pfeifer's co-authors include Dennis Löffler, Friedemann Horn, A. Kretzschmar, Katja Brocke-Heidrich, Renate Burger, Martin Gramatzki, Conny Blumert, Jörg Hackermüller, Peter F. Stadler and Dirk Koczan and has published in prestigious journals such as Blood, Scientific Reports and Biochemical Journal.

In The Last Decade

Gabriele Pfeifer

5 papers receiving 669 citations

Hit Papers

align trajectories sort by overperformance

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
Gabriele Pfeifer Germany	5	453	400	153	129	108	5	677
Conny Blumert Germany	7	469 1.0×	398 1.0×	117 0.8×	134 1.0×	66 0.6×	16	656
Margherita Ghisi Australia	9	453 1.0×	222 0.6×	217 1.4×	105 0.8×	116 1.1×	11	663
Srikanth Talluri United States	13	503 1.1×	211 0.5×	242 1.6×	83 0.6×	96 0.9×	48	701
Simon Bornschein Belgium	12	316 0.7×	161 0.4×	134 0.9×	295 2.3×	128 1.2×	15	665
Parvathi Ranganathan United States	14	538 1.2×	189 0.5×	107 0.7×	156 1.2×	230 2.1×	37	764
Alena Malyukova Sweden	14	669 1.5×	152 0.4×	196 1.3×	190 1.5×	79 0.7×	19	828
Juliane Braun Germany	16	648 1.4×	437 1.1×	106 0.7×	196 1.5×	29 0.3×	22	976
Xiangning Qiu China	9	415 0.9×	155 0.4×	64 0.4×	227 1.8×	82 0.8×	24	700
Subrata Banerjee India	13	269 0.6×	102 0.3×	159 1.0×	121 0.9×	92 0.9×	31	538
David Brocks Germany	10	584 1.3×	266 0.7×	151 1.0×	78 0.6×	55 0.5×	14	807

Countries citing papers authored by Gabriele Pfeifer

Since Specialization

Citations

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

Fields of papers citing papers by Gabriele Pfeifer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Pfeifer

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

All Works

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5 of 5 papers shown

1.

Friedrich, Maik, Gabriele Pfeifer, Achim Aigner, et al.. (2022). Selection and Validation of siRNAs Preventing Uptake and Replication of SARS-CoV-2. Frontiers in Bioengineering and Biotechnology. 10. 801870–801870. 23 indexed citations

2.

Müller, Claudia, Gabriele Pfeifer, Kristin Reiche, et al.. (2021). The noncoding RNA LINC00152 conveys contradicting effects in different glioblastoma cells. Scientific Reports. 11(1). 18499–18499. 4 indexed citations

3.

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

4.

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 →

5.

Brocke-Heidrich, Katja, A. Kretzschmar, Gabriele Pfeifer, et al.. (2003). Interleukin-6–dependent gene expression profiles in multiple myeloma INA-6 cells reveal a Bcl-2 family–independent survival pathway closely associated with Stat3 activation. Blood. 103(1). 242–251. 119 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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