Ina Ersing

1.1k total citations
10 papers, 702 citations indexed

About

Ina Ersing is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Ina Ersing has authored 10 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Ina Ersing's work include Viral-associated cancers and disorders (5 papers), Lymphoma Diagnosis and Treatment (4 papers) and Virus-based gene therapy research (3 papers). Ina Ersing is often cited by papers focused on Viral-associated cancers and disorders (5 papers), Lymphoma Diagnosis and Treatment (4 papers) and Virus-based gene therapy research (3 papers). Ina Ersing collaborates with scholars based in United States, United Kingdom and Germany. Ina Ersing's co-authors include Benjamin E. Gewurz, Katharina Bernhardt, Luís Nobre, Liang Wei Wang, Michael P. Weekes, Yijie Ma, Bo Zhao, Ellen Cahir-McFarland, Sizun Jiang and Leila Haery and has published in prestigious journals such as Cell Metabolism, Antimicrobial Agents and Chemotherapy and PLoS Pathogens.

In The Last Decade

Ina Ersing

9 papers receiving 699 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ina Ersing United States	9	310	262	187	154	142	10	702
Char‐Chang Lai United States	12	566 1.8×	122 0.5×	170 0.9×	108 0.7×	60 0.4×	14	823
Todor Dimitrov United States	12	716 2.3×	159 0.6×	195 1.0×	107 0.7×	127 0.9×	21	1.1k
Sven Erickson Sweden	10	359 1.2×	442 1.7×	444 2.4×	136 0.9×	83 0.6×	12	935
Orr Barak United States	16	1.1k 3.6×	141 0.5×	164 0.9×	154 1.0×	101 0.7×	18	1.5k
Toshie Shinagawa Japan	19	1.1k 3.6×	188 0.7×	166 0.9×	70 0.5×	131 0.9×	29	1.3k
Wuzhou Yuan China	19	652 2.1×	81 0.3×	119 0.6×	62 0.4×	135 1.0×	73	909
Karl Hackmann Germany	19	739 2.4×	110 0.4×	73 0.4×	84 0.5×	97 0.7×	54	1.3k
Sivaraman Natarajan United States	14	511 1.6×	84 0.3×	165 0.9×	177 1.1×	162 1.1×	19	865
Dennis Burian United States	12	412 1.3×	95 0.4×	108 0.6×	58 0.4×	53 0.4×	24	871
Yuichi Wakabayashi Japan	14	592 1.9×	254 1.0×	244 1.3×	48 0.3×	122 0.9×	47	941

Countries citing papers authored by Ina Ersing

Since Specialization

Citations

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

Fields of papers citing papers by Ina Ersing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ina Ersing

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

All Works

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10 of 10 papers shown

Ersing, Ina, Meghan A. Rego, Chen Wang, et al.. (2023). Quality Control for Adeno-Associated Viral Vector Production. PubMed. 195. 77–101.

Guerin, Karen I., Meghan A. Rego, Ina Ersing, et al.. (2020). A Novel Next-Generation Sequencing and Analysis Platform to Assess the Identity of Recombinant Adeno-Associated Viral Preparations from Viral DNA Extracts. Human Gene Therapy. 31(11-12). 664–678. 28 indexed citations

Wang, Liang Wei, Zhonghao Wang, Ina Ersing, et al.. (2019). Epstein-Barr virus subverts mevalonate and fatty acid pathways to promote infected B-cell proliferation and survival. PLoS Pathogens. 15(9). e1008030–e1008030. 69 indexed citations

Haery, Leila, Benjamin E. Deverman, Katherine S. Matho, et al.. (2019). Adeno-Associated Virus Technologies and Methods for Targeted Neuronal Manipulation. Frontiers in Neuroanatomy. 13. 93–93. 140 indexed citations

Wang, Liang Wei, Hongying Shen, Luís Nobre, et al.. (2019). Epstein-Barr-Virus-Induced One-Carbon Metabolism Drives B Cell Transformation. Cell Metabolism. 30(3). 539–555.e11. 128 indexed citations

Ersing, Ina, Luís Nobre, Liang Wei Wang, et al.. (2017). A Temporal Proteomic Map of Epstein-Barr Virus Lytic Replication in B Cells. Cell Reports. 19(7). 1479–1493. 71 indexed citations

Greenfeld, Hannah, Kaoru Takasaki, Michael J. Walsh, et al.. (2015). TRAF1 Coordinates Polyubiquitin Signaling to Enhance Epstein-Barr Virus LMP1-Mediated Growth and Survival Pathway Activation. PLoS Pathogens. 11(5). e1004890–e1004890. 64 indexed citations

Zhao, Bo, Luis Barrera, Ina Ersing, et al.. (2014). The NF-κB Genomic Landscape in Lymphoblastoid B Cells. Cell Reports. 8(5). 1595–1606. 125 indexed citations

Ersing, Ina, Katharina Bernhardt, & Benjamin E. Gewurz. (2013). NF-κB and IRF7 Pathway Activation by Epstein-Barr Virus Latent Membrane Protein 1. Viruses. 5(6). 1587–1606. 65 indexed citations

10.

Dittmann, Meike, Ina Ersing, Thomas Mertens, & Jens von Einem. (2010). Differentiation between Polymorphisms and Resistance-Associated Mutations in Human Cytomegalovirus DNA Polymerase. Antimicrobial Agents and Chemotherapy. 54(12). 5004–5011. 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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