Beáta Ramasz

771 total citations · 1 hit paper
6 papers, 339 citations indexed

About

Beáta Ramasz is a scholar working on Molecular Biology, Hematology and Physiology. According to data from OpenAlex, Beáta Ramasz has authored 6 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Hematology and 2 papers in Physiology. Recurrent topics in Beáta Ramasz's work include Erythrocyte Function and Pathophysiology (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Single-cell and spatial transcriptomics (1 paper). Beáta Ramasz is often cited by papers focused on Erythrocyte Function and Pathophysiology (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Single-cell and spatial transcriptomics (1 paper). Beáta Ramasz collaborates with scholars based in Germany, United States and Australia. Beáta Ramasz's co-authors include Tatyana Grinenko, Ben Wielockx, Malte Paulsen, Christian Tischer, Terra M. Kuhn, Sara Cuylen‐Haering, Keegan Owsley, Marta Rodríguez‐Martínez, Eric D. Diebold and Daniel Schraivogel and has published in prestigious journals such as Science, Nature Communications and Blood.

In The Last Decade

Beáta Ramasz

6 papers receiving 339 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.

High-speed fluorescence image–enabled cell sorting

2022 151 citations Daniel Schraivogel, Terra M. Kuhn 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
Beáta Ramasz Germany	6	154	66	61	59	56	6	339
Olivier Burri Switzerland	9	109 0.7×	68 1.0×	75 1.2×	27 0.5×	24 0.4×	24	325
Carolina Lage Crespo Portugal	7	252 1.6×	104 1.6×	184 3.0×	43 0.7×	15 0.3×	13	678
Vadim Pérez‐Koldenkova Mexico	8	174 1.1×	52 0.8×	11 0.2×	35 0.6×	29 0.5×	23	326
ChangHee Lee United States	10	319 2.1×	31 0.5×	67 1.1×	47 0.8×	6 0.1×	16	570
Grant Yang United States	9	212 1.4×	34 0.5×	27 0.4×	9 0.2×	14 0.3×	9	552
Laura Parente United States	7	177 1.1×	51 0.8×	42 0.7×	72 1.2×	3 0.1×	9	326
Elisabeth Wong United States	11	180 1.2×	188 2.8×	260 4.3×	24 0.4×	15 0.3×	14	631
Erez Geron Israel	7	113 0.7×	138 2.1×	21 0.3×	7 0.1×	15 0.3×	12	366
Jonathan E. Burnett United States	7	524 3.4×	51 0.8×	29 0.5×	50 0.8×	5 0.1×	7	610

Countries citing papers authored by Beáta Ramasz

Since Specialization

Citations

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

Fields of papers citing papers by Beáta Ramasz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beáta Ramasz

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

All Works

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6 of 6 papers shown

1.

Schraivogel, Daniel, Terra M. Kuhn, Benedikt Rauscher, et al.. (2022). High-speed fluorescence image–enabled cell sorting. Science. 375(6578). 315–320. 151 indexed citations breakdown →

2.

Leiter, Odette, Rupert W. Overall, Beáta Ramasz, et al.. (2019). Exercise-Induced Activated Platelets Increase Adult Hippocampal Precursor Proliferation and Promote Neuronal Differentiation. Stem Cell Reports. 12(4). 667–679. 78 indexed citations

3.

Ramasz, Beáta, Anja Krüger, Julia Reinhardt, et al.. (2019). Hematopoietic stem cell response to acute thrombocytopenia requires signaling through distinct receptor tyrosine kinases. Blood. 134(13). 1046–1058. 15 indexed citations

4.

Singh, Rashim Pal, Tatyana Grinenko, Beáta Ramasz, et al.. (2018). Hematopoietic Stem Cells but Not Multipotent Progenitors Drive Erythropoiesis during Chronic Erythroid Stress in EPO Transgenic Mice. Stem Cell Reports. 10(6). 1908–1919. 28 indexed citations

5.

Grinenko, Tatyana, Anne Eugster, Lars Thielecke, et al.. (2018). Hematopoietic stem cells can differentiate into restricted myeloid progenitors before cell division in mice. Nature Communications. 9(1). 1898–1898. 55 indexed citations

6.

Kiss, Brigitta, Ágnes Zvara, Michal Žurovec, et al.. (2013). Selective elimination/RNAi silencing of FMRF-related peptides and their receptors decreases the locomotor activity in Drosophila melanogaster. General and Comparative Endocrinology. 191. 137–145. 12 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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