Eva Gottwein

4.1k total citations
37 papers, 3.3k citations indexed

About

Eva Gottwein is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Eva Gottwein has authored 37 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 17 papers in Cancer Research and 16 papers in Oncology. Recurrent topics in Eva Gottwein's work include Viral-associated cancers and disorders (16 papers), MicroRNA in disease regulation (13 papers) and Cancer-related molecular mechanisms research (10 papers). Eva Gottwein is often cited by papers focused on Viral-associated cancers and disorders (16 papers), MicroRNA in disease regulation (13 papers) and Cancer-related molecular mechanisms research (10 papers). Eva Gottwein collaborates with scholars based in United States, Germany and Philippines. Eva Gottwein's co-authors include Bryan R. Cullen, Uwe Ohler, Rebecca L. Skalsky, Neelanjan Mukherjee, David L. Corcoran, Mark Manzano, Hans‐Georg Kräusslich, Micah A. Luftig, Sandeep S. Davé and Jeffrey D. Nusbaum and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Eva Gottwein

35 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Gottwein United States 25 2.2k 1.6k 840 661 610 37 3.3k
Rebecca L. Skalsky United States 22 2.3k 1.0× 1.9k 1.2× 1.2k 1.4× 701 1.1× 865 1.4× 36 3.8k
Linda F. van Dyk United States 27 1.1k 0.5× 677 0.4× 944 1.1× 782 1.2× 1.1k 1.8× 46 2.8k
Micah A. Luftig United States 30 976 0.4× 672 0.4× 1.7k 2.0× 887 1.3× 1.1k 1.8× 68 3.0k
Dohun Pyeon United States 22 939 0.4× 451 0.3× 584 0.7× 672 1.0× 901 1.5× 38 2.3k
Xuezhong Cai United States 10 2.5k 1.1× 2.4k 1.4× 630 0.8× 294 0.4× 465 0.8× 14 3.4k
Cary A. Moody United States 24 1.4k 0.6× 446 0.3× 1.2k 1.4× 538 0.8× 1.7k 2.7× 34 3.0k
David Pim Italy 25 1.6k 0.7× 507 0.3× 1.5k 1.8× 414 0.6× 1.2k 2.0× 40 3.1k
Leszek J. Klimczak United States 23 2.0k 0.9× 795 0.5× 420 0.5× 220 0.3× 272 0.4× 37 2.8k
Päivi M. Ojala Finland 30 1.4k 0.6× 331 0.2× 1.4k 1.7× 315 0.5× 756 1.2× 60 2.8k
Miranda Thomas Italy 33 2.5k 1.1× 712 0.4× 2.4k 2.8× 694 1.0× 2.4k 4.0× 70 5.2k

Countries citing papers authored by Eva Gottwein

Since Specialization
Citations

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

Fields of papers citing papers by Eva Gottwein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Gottwein

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

All Works

20 of 20 papers shown
1.
Tycko, Josh, et al.. (2025). Cytotoxicity of activator expression in CRISPR-based transcriptional activation systems. Nature Communications. 16(1). 8071–8071.
2.
Ortega, J. Alberto, et al.. (2024). Retargeting target-directed microRNA-decay sites to highly expressed viral or cellular miRNAs. Nucleic Acids Research. 52(22). 14171–14183. 3 indexed citations
3.
Manzano, Mark, et al.. (2023). CRISPR screens identify novel regulators of cFLIP dependency and ligand-independent, TRAIL-R1-mediated cell death. Cell Death and Differentiation. 30(5). 1221–1234. 5 indexed citations
4.
Gottwein, Eva, et al.. (2022). Druggable host gene dependencies in primary effusion lymphoma. Current Opinion in Virology. 56. 101270–101270.
5.
Wang, Chong, Luyao Zhang, Liang‐Ru Ke, et al.. (2020). Primary effusion lymphoma enhancer connectome links super-enhancers to dependency factors. Nature Communications. 11(1). 6318–6318. 24 indexed citations
6.
Patil, Ajinkya, Mark Manzano, & Eva Gottwein. (2019). Genome-wide CRISPR screens reveal genetic mediators of cereblon modulator toxicity in primary effusion lymphoma. Blood Advances. 3(14). 2105–2117. 24 indexed citations
7.
Manzano, Mark, Eleonora Forte, Archana N. Raja, Matthew J. Schipma, & Eva Gottwein. (2015). Divergent target recognition by coexpressed 5′-isomiRs of miR-142-3p and selective viral mimicry. RNA. 21(9). 1606–1620. 32 indexed citations
8.
Grosswendt, Stefanie, Andrei Filipchyk, Mark Manzano, et al.. (2014). Unambiguous Identification of miRNA:Target Site Interactions by Different Types of Ligation Reactions. Molecular Cell. 54(6). 1042–1054. 224 indexed citations
9.
Khare, Sonal, Rojo A. Ratsimandresy, Lúcia de Almeida, et al.. (2014). The PYRIN domain–only protein POP3 inhibits ALR inflammasomes and regulates responses to infection with DNA viruses. Nature Immunology. 15(4). 343–353. 129 indexed citations
10.
Gottwein, Eva. (2013). Roles of MicroRNAs in the Life Cycles of Mammalian Viruses. Current topics in microbiology and immunology. 371. 201–227. 36 indexed citations
11.
Skalsky, Rebecca L., David L. Corcoran, Eva Gottwein, et al.. (2012). The Viral and Cellular MicroRNA Targetome in Lymphoblastoid Cell Lines. PLoS Pathogens. 8(1). e1002484–e1002484. 289 indexed citations
12.
Gottwein, Eva. (2012). Kaposi’s Sarcoma-Associated Herpesvirus microRNAs. Frontiers in Microbiology. 3. 165–165. 56 indexed citations
13.
Skalsky, Rebecca L., David L. Corcoran, Eva Gottwein, et al.. (2012). Analysis of the miRNA targetome in EBV-infected B cells. Infectious Agents and Cancer. 7(S1). 1 indexed citations
14.
Gottwein, Eva, David L. Corcoran, Neelanjan Mukherjee, et al.. (2011). Viral MicroRNA Targetome of KSHV-Infected Primary Effusion Lymphoma Cell Lines. Cell Host & Microbe. 10(5). 515–526. 254 indexed citations
15.
Gottwein, Eva & Bryan R. Cullen. (2008). Viral and Cellular MicroRNAs as Determinants of Viral Pathogenesis and Immunity. Cell Host & Microbe. 3(6). 375–387. 344 indexed citations
16.
Gottwein, Eva, Neelanjan Mukherjee, Christoph Sachse, et al.. (2007). A viral microRNA functions as an orthologue of cellular miR-155. Nature. 450(7172). 1096–1099. 464 indexed citations
17.
Gottwein, Eva & Bryan R. Cullen. (2007). Protocols for Expression and Functional Analysis of Viral MicroRNAs. Methods in enzymology on CD-ROM/Methods in enzymology. 427. 229–243. 4 indexed citations
18.
Gottwein, Eva, Xinjiang Cai, & Bryan R. Cullen. (2006). Expression and Function of MicroRNAs Encoded by Kaposi's Sarcoma-associated Herpesvirus. Cold Spring Harbor Symposia on Quantitative Biology. 71(0). 357–364. 25 indexed citations
19.
Medina, Gisselle N., Yongjun Zhang, Yi Tang, et al.. (2005). The Functionally Exchangeable L Domains in RSV and HIV‐1 Gag Direct Particle Release Through Pathways Linked by Tsg101. Traffic. 6(10). 880–894. 43 indexed citations
20.
Gottwein, Eva, et al.. (2003). The Mason-Pfizer Monkey Virus PPPY and PSAP Motifs Both Contribute to Virus Release. Journal of Virology. 77(17). 9474–9485. 107 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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