Eric C. Rouchka

5.9k citations
172 papers · 3.1k · h-index 28

Impact in

    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Gut microbiota and health
    • Cancer-related molecular mechanisms research

Papers in

    • RNA and protein synthesis mechanisms 29
    • RNA Research and Splicing 23
    • RNA modifications and cancer 21
    • Genomics and Phylogenetic Studies 18
    • Gene expression and cancer classification 16
    • Advanced biosensing and bioanalysis techniques 12
    • Genomics and Chromatin Dynamics 10
    • Cancer-related molecular mechanisms research 11

Eric C. Rouchka

162 papers receiving 3.0k citations

Peers

Eric C. Rouchka
Comparison fields: 5 of 160
  • Molecular Biology 1.6k
  • Cancer Research 314
  • Immunology 445
  • Biological Psychiatry 38
  • Dermatology 101
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Eric C. Rouchka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric C. Rouchka Line = papers co-authored together Eric C. Rouchka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001322
2 2018214
3 2020134
4 2022111
5 202299
6 201983
7 202281
8 202275
9 201961
10 201558
11 201657
12 200955
13 201754
14 201253
15 201751
16 201650
17 201750
18 201547
19 202046
20 201944

About Eric C. Rouchka

Eric C. Rouchka is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Immunology and Artificial Intelligence, having authored 172 papers that have together received 3.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (29 papers), RNA Research and Splicing (23 papers), RNA modifications and cancer (21 papers), Genomics and Phylogenetic Studies (18 papers), Gene expression and cancer classification (16 papers), Advanced biosensing and bioanalysis techniques (12 papers), Cancer-related molecular mechanisms research (11 papers) and Genomics and Chromatin Dynamics (10 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Cancer Research (314 citations), Immunology (445 citations), Biological Psychiatry (38 citations) and Dermatology (101 citations). Eric C. Rouchka has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Zhengyan Kan, Warren Gish, David J. States, Julia H. Chariker, Yvonne Fondufe‐Mittendorf, Carolyn M. Klinge, Xiaohong Li, Jun Yan, Kellianne M. Piell and Robert M Flight. Their work appears in journals such as BMC Bioinformatics, PLoS ONE, Scientific Reports, BMC Genomics and Genes.

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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