Maren Haase

13 total papers · 579 total citations
10 papers, 383 citations indexed

About

Maren Haase is a scholar working on Genetics, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Maren Haase has authored 10 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 6 papers in Molecular Biology and 3 papers in Infectious Diseases. Recurrent topics in Maren Haase's work include Virus-based gene therapy research (8 papers), CRISPR and Genetic Engineering (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Maren Haase is often cited by papers focused on Virus-based gene therapy research (8 papers), CRISPR and Genetic Engineering (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Maren Haase collaborates with scholars based in Germany, Ireland and France. Maren Haase's co-authors include Armin Baiker, Andreas Sing, Ulrich Busch, Hans Nitschko, Ingrid Huber, Christina Rauschhuber, Anja Ehrhardt, Ute Eberle, Bernhard Liebl and Volker Fingerle and has published in prestigious journals such as Human Gene Therapy, Eurosurveillance and Journal of Virological Methods.

In The Last Decade

Maren Haase

9 papers receiving 380 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Maren Haase	244	167	78	55	37	10	383
Thomas B. Lentz	239 1.0×	164 1.0×	47 0.6×	50 0.9×	134 3.6×	10	419
Sangeetha Hareendran	300 1.2×	168 1.0×	22 0.3×	33 0.6×	30 0.8×	11	405
Caroline Lacoux	282 1.2×	94 0.6×	104 1.3×	14 0.3×	21 0.6×	15	428
N Muzyczka	230 0.9×	144 0.9×	37 0.5×	69 1.3×	33 0.9×	6	437
Alex B. Wang	166 0.7×	84 0.5×	46 0.6×	21 0.4×	49 1.3×	13	369
Peiyin Wang	230 0.9×	161 1.0×	17 0.2×	39 0.7×	31 0.8×	11	377
Marcela P. Cataldi	201 0.8×	217 1.3×	51 0.7×	29 0.5×	78 2.1×	12	401
Giridhar Murlidharan	230 0.9×	194 1.2×	15 0.2×	92 1.7×	34 0.9×	11	374
Laura Spector	302 1.2×	172 1.0×	29 0.4×	43 0.8×	17 0.5×	10	361
Alisa A. Shaimardanova	250 1.0×	168 1.0×	17 0.2×	31 0.6×	49 1.3×	13	413

Countries citing papers authored by Maren Haase

Since Specialization

Citations

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

Fields of papers citing papers by Maren Haase

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maren Haase

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

All Works

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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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