Erin Cross

425 citations
3 papers · 26 · h-index 2

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • Advanced biosensing and bioanalysis techniques
    • CRISPR and Genetic Engineering
    • RNA Interference and Gene Delivery
    • Cell death mechanisms and regulation

Papers in

    • Advanced biosensing and bioanalysis techniques 1
    • RNA Research and Splicing 1
    • CRISPR and Genetic Engineering 1
    • Gene Regulatory Network Analysis 1
    • Cytokine Signaling Pathways and Interactions 1

Erin Cross

3 papers receiving 26 citations

Peers

Erin Cross
Comparison fields: 5 of 12
  • Cancer Research 15
  • Molecular Biology 23
  • Geriatrics and Gerontology 1
  • Biochemistry 1
  • Epidemiology 4
Replace Cassidy Danyko with:
Cassidy Danyko United States
Zhi Xia China
Han-Jie Li China
Markus Sohn Germany
Peihan Wang China
Dongze He United States
Esther Cynn United States
Jerico R. Santos Philippines
Dhanaprakash Jambulingam Finland
Erin Cross relative to Cassidy Danyko United States Cassidy Danyko's profile →
Citations per field
00.5×1.5×
Cassidy Danyko · 1×
Citations per year

Countries citing papers authored by Erin Cross

Since Specialization
Citations

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

Fields of papers citing papers by Erin Cross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Erin Cross, 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 Erin Cross Line = papers co-authored together Erin Cross links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About Erin Cross

Erin Cross is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Infectious Diseases, having authored 3 papers that have together received 26 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (1 paper), RNA Research and Splicing (1 paper), CRISPR and Genetic Engineering (1 paper), MicroRNA in disease regulation (1 paper), Gene Regulatory Network Analysis (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Cancer Research (15 citations), Molecular Biology (23 citations), Geriatrics and Gerontology (1 citation), Biochemistry (1 citation) and Epidemiology (4 citations). Erin Cross has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Pradeep Sathyanarayana, Amanda J. Favreau, Gábor Balázsi, Joseph Cohen, Annie Lin, Christopher Tompkins, Jiguang Wang, Quanhua Mu, Rafał Krzysztoń and Matthew B. Lanktree. Their work appears in journals such as Blood, Canadian Journal of Kidney Health and Disease and Proceedings of the National Academy of Sciences.

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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