Eric C. Rouchka

5.7k total citations
163 papers, 2.9k citations indexed

About

Eric C. Rouchka is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Eric C. Rouchka has authored 163 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 22 papers in Cancer Research and 16 papers in Pathology and Forensic Medicine. Recurrent topics in Eric C. Rouchka's work include RNA and protein synthesis mechanisms (29 papers), RNA Research and Splicing (24 papers) and RNA modifications and cancer (18 papers). Eric C. Rouchka is often cited by papers focused on RNA and protein synthesis mechanisms (29 papers), RNA Research and Splicing (24 papers) and RNA modifications and cancer (18 papers). Eric C. Rouchka collaborates with scholars based in United States, China and Israel. Eric C. Rouchka's co-authors include Warren Gish, Zhengyan Kan, David J. States, Julia H. Chariker, Yvonne Fondufe‐Mittendorf, Carolyn M. Klinge, Xiaohong Li, Jun Yan, David Tieri and Robert M Flight and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Eric C. Rouchka

153 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric C. Rouchka United States 27 1.6k 449 348 321 235 163 2.9k
Tae‐Hoon Lee South Korea 35 2.5k 1.6× 490 1.1× 327 0.9× 444 1.4× 329 1.4× 192 4.5k
Frode S. Berven Norway 32 1.9k 1.2× 326 0.7× 210 0.6× 177 0.6× 241 1.0× 103 3.3k
Hao Chen China 31 1.7k 1.0× 401 0.9× 464 1.3× 418 1.3× 182 0.8× 224 3.8k
Mikaela Koutrouli Denmark 5 2.2k 1.3× 373 0.8× 463 1.3× 303 0.9× 219 0.9× 12 3.9k
Farrokh Mehryary Finland 8 2.1k 1.3× 370 0.8× 460 1.3× 299 0.9× 215 0.9× 15 3.8k
Arnaud Droit Canada 36 2.1k 1.3× 428 1.0× 468 1.3× 523 1.6× 253 1.1× 183 3.8k
Yunping Zhu China 28 2.5k 1.6× 402 0.9× 464 1.3× 451 1.4× 147 0.6× 112 4.1k
Ting Wang China 30 1.9k 1.2× 672 1.5× 745 2.1× 422 1.3× 298 1.3× 148 4.0k
Shanshan Wang China 34 1.8k 1.1× 870 1.9× 543 1.6× 465 1.4× 251 1.1× 182 3.9k
Markus List Germany 25 1.9k 1.2× 350 0.8× 553 1.6× 397 1.2× 127 0.5× 106 3.1k

Countries citing papers authored by Eric C. Rouchka

Since Specialization
Citations

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

Fields of papers citing papers by Eric C. Rouchka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric C. Rouchka. 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 Eric C. Rouchka. The network helps show where Eric C. Rouchka may publish in the future.

Co-authorship network of co-authors of Eric C. Rouchka

This figure shows the co-authorship network connecting the top 25 collaborators of Eric C. Rouchka. A scholar is included among the top collaborators of Eric C. Rouchka 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 Eric C. Rouchka. Eric C. Rouchka 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.
Engelbrecht, Eric, Sabine Waigel, Eric C. Rouchka, et al.. (2025). Single-cell transcriptomics of melanoma sentinel lymph nodes identifies immune cell signatures associated with metastasis. JCI Insight. 10(7). 1 indexed citations
2.
Piell, Kellianne M., Belinda J. Petri, Kimberly Z. Head, et al.. (2023). Disruption of the mouse liver epitranscriptome by long-term aroclor 1260 exposure. Environmental Toxicology and Pharmacology. 100. 104138–104138. 3 indexed citations
3.
4.
Wu, Caijun, Qian Zhong, Rejeena Shrestha, et al.. (2023). Reactive myelopoiesis and FX-expressing macrophages triggered by chemotherapy promote cancer lung metastasis. JCI Insight. 8(9). 8 indexed citations
5.
Chariker, Julia H., Tyler Stephenson, Kariena R. Andres, et al.. (2023). Enhanced oxidative phosphorylation, re-organized intracellular signaling, and epigenetic de-silencing as revealed by oligodendrocyte translatome analysis after contusive spinal cord injury. Scientific Reports. 13(1). 21254–21254. 7 indexed citations
6.
Chariker, Julia H., et al.. (2023). Structural and Functional Classification of G-Quadruplex Families within the Human Genome. Genes. 14(3). 645–645. 6 indexed citations
7.
Geller, Anne E., Rejeena Shrestha, Matthew R. Woeste, et al.. (2022). The induction of peripheral trained immunity in the pancreas incites anti-tumor activity to control pancreatic cancer progression. Nature Communications. 13(1). 759–759. 64 indexed citations
8.
9.
Qin, Hui, Yihua Cai, Xia Li, et al.. (2022). Dynamic trafficking patterns of IL-17-producing γδ T cells are linked to the recurrence of skin inflammation in psoriasis-like dermatitis. EBioMedicine. 82. 104136–104136. 27 indexed citations
10.
Rouchka, Eric C., et al.. (2022). Shoc2 controls ERK1/2-driven neural crest development by balancing components of the extracellular matrix. Developmental Biology. 492. 156–171. 2 indexed citations
11.
Li, Xiaohong, N. Shesh, Eric C. Rouchka, Timothy E. O’Toole, & Nigel G. F. Cooper. (2021). Adjusted Sample Size Calculation for RNA-seq Data in the Presence of Confounding Covariates. BioMedInformatics. 1(2). 47–63. 3 indexed citations
12.
Rouchka, Eric C., Julia H. Chariker, Robert S. Adcock, et al.. (2021). Induction of interferon response by high viral loads at early stage infection may protect against severe outcomes in COVID-19 patients. Scientific Reports. 11(1). 15715–15715. 13 indexed citations
13.
Wahlang, Banrida, et al.. (2021). Polychlorinated biphenyls altered gut microbiome in CAR and PXR knockout mice exhibiting toxicant-associated steatohepatitis. Toxicology Reports. 8. 536–547. 28 indexed citations
14.
O’Neill, Conor, Eric C. Rouchka, Sabine Waigel, et al.. (2020). Transcriptomic Profiling Identifies Differentially Expressed Genes in Palbociclib-Resistant ER+ MCF7 Breast Cancer Cells. Genes. 11(4). 467–467. 22 indexed citations
15.
Liu, Min, Zan Tong, Chuanlin Ding, et al.. (2020). Transcription factor c-Maf is a checkpoint that programs macrophages in lung cancer. Journal of Clinical Investigation. 130(4). 2081–2096. 129 indexed citations
16.
Miralda, Irina, Aruna Vashishta, Eric C. Rouchka, et al.. (2020). Whole Transcriptome Analysis Reveals That Filifactor alocis Modulates TNFα-Stimulated MAPK Activation in Human Neutrophils. Frontiers in Immunology. 11. 497–497. 13 indexed citations
17.
Klinge, Carolyn M., et al.. (2019). HNRNPA2/B1 is upregulated in endocrine-resistant LCC9 breast cancer cells and alters the miRNA transcriptome when overexpressed in MCF-7 cells. Scientific Reports. 9(1). 9430–9430. 79 indexed citations
18.
19.
Li, Xiaohong, Eric C. Rouchka, Guy Brock, et al.. (2018). A combined approach with gene-wise normalization improves the analysis of RNA-seq data in human breast cancer subtypes. PLoS ONE. 13(8). e0201813–e0201813. 5 indexed citations
20.
Li, Xiaohong, Guy Brock, Eric C. Rouchka, et al.. (2017). A comparison of per sample global scaling and per gene normalization methods for differential expression analysis of RNA-seq data. PLoS ONE. 12(5). e0176185–e0176185. 51 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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