Erin M. Wissink

1.0k total citations
10 papers, 579 citations indexed

About

Erin M. Wissink is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Erin M. Wissink has authored 10 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Cancer Research. Recurrent topics in Erin M. Wissink's work include RNA Research and Splicing (4 papers), Immunotherapy and Immune Responses (3 papers) and Genomics and Chromatin Dynamics (3 papers). Erin M. Wissink is often cited by papers focused on RNA Research and Splicing (4 papers), Immunotherapy and Immune Responses (3 papers) and Genomics and Chromatin Dynamics (3 papers). Erin M. Wissink collaborates with scholars based in United States, Australia and Portugal. Erin M. Wissink's co-authors include Andrew Grimson, Norah L. Smith, Brian D. Rudd, Nathaniel D. Tippens, Anniina Vihervaara, John T. Lis, Jocelyn Wang, Serena M. Dudek, Meilan Zhao and David C. Fargo and has published in prestigious journals such as Blood, Nature Neuroscience and The Journal of Immunology.

In The Last Decade

Erin M. Wissink

10 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erin M. Wissink United States 9 340 169 82 63 60 10 579
Piera Calamita Italy 12 340 1.0× 110 0.7× 48 0.6× 87 1.4× 67 1.1× 15 533
Thomas Burgold United Kingdom 7 596 1.8× 186 1.1× 69 0.8× 111 1.8× 22 0.4× 12 760
Tian Lu China 9 838 2.5× 84 0.5× 113 1.4× 102 1.6× 32 0.5× 17 1.0k
Trent Fowler United States 8 533 1.6× 73 0.4× 56 0.7× 41 0.7× 22 0.4× 10 779
Klaas Kooistra Netherlands 11 374 1.1× 110 0.7× 252 3.1× 75 1.2× 53 0.9× 15 700
Dennis Burian United States 12 412 1.2× 108 0.6× 53 0.6× 109 1.7× 22 0.4× 24 871
Boris A. Hesser Germany 7 433 1.3× 81 0.5× 25 0.3× 37 0.6× 91 1.5× 7 663
María Gabriela Thomas Argentina 13 639 1.9× 61 0.4× 94 1.1× 60 1.0× 63 1.1× 28 829
Walter Carbone Switzerland 11 392 1.2× 43 0.3× 77 0.9× 104 1.7× 31 0.5× 13 560

Countries citing papers authored by Erin M. Wissink

Since Specialization
Citations

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

Fields of papers citing papers by Erin M. Wissink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erin M. Wissink. 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 Erin M. Wissink. The network helps show where Erin M. Wissink may publish in the future.

Co-authorship network of co-authors of Erin M. Wissink

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

All Works

10 of 10 papers shown
1.
Richey, A., et al.. (2024). Cis-regulatory control of transcriptional timing and noise in response to estrogen. Cell Genomics. 4(5). 100542–100542. 4 indexed citations
2.
Jambor, Helena, Alberto Antonietti, Bradly Alicea, et al.. (2021). Creating clear and informative image-based figures for scientific publications. PLoS Biology. 19(3). e3001161–e3001161. 34 indexed citations
3.
Wissink, Erin M., Anniina Vihervaara, Nathaniel D. Tippens, & John T. Lis. (2019). Nascent RNA analyses: tracking transcription and its regulation. Nature Reviews Genetics. 20(12). 705–723. 150 indexed citations
4.
Wissink, Erin M., Elizabeth A. Fogarty, & Andrew Grimson. (2016). High-throughput discovery of post-transcriptional cis-regulatory elements. BMC Genomics. 17(1). 177–177. 30 indexed citations
5.
Wang, Jocelyn, et al.. (2016). Fetal and adult progenitors give rise to unique populations of CD8+ T cells. Blood. 128(26). 3073–3082. 64 indexed citations
6.
Smith, Norah L., Erin M. Wissink, Andrew Grimson, & Brian D. Rudd. (2015). miR-150 Regulates Differentiation and Cytolytic Effector Function in CD8+ T cells. Scientific Reports. 5(1). 16399–16399. 56 indexed citations
7.
Wissink, Erin M., Norah L. Smith, Roman Spektor, Brian D. Rudd, & Andrew Grimson. (2015). MicroRNAs and Their Targets Are Differentially Regulated in Adult and Neonatal Mouse CD8+ T Cells. Genetics. 201(3). 1017–1030. 33 indexed citations
8.
Smith, Norah L., Erin M. Wissink, Jocelyn Wang, et al.. (2014). Rapid Proliferation and Differentiation Impairs the Development of Memory CD8+ T Cells in Early Life. The Journal of Immunology. 193(1). 177–184. 69 indexed citations
9.
Saha, Ramendra N., Erin M. Wissink, Meilan Zhao, et al.. (2011). Rapid activity-induced transcription of Arc and other IEGs relies on poised RNA polymerase II. Nature Neuroscience. 14(7). 848–856. 128 indexed citations
10.
Adams, J. Paige, et al.. (2009). NMDA receptor-independent control of transcription factors and gene expression. Neuroreport. 20(16). 1429–1433. 11 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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