Christopher J. Sneeringer

2.9k citations
5 papers · 690 indexed · 1 hit paper · h-index 4

Christopher J. Sneeringer

5 papers receiving 638 citations

Hit Papers

Coordinated activities of wild-type plus mutant EZH2 driv...5002010202620152020100200300400500

Peers

Christopher J. Sneeringer
Comparison fields: 5 of 53
  • Molecular Biology 616
  • Hematology 61
  • Genetics 52
  • Cancer Research 63
  • Pathology and Forensic Medicine 75
Replace Jacek Marzec with:
Jacek Marzec United Kingdom
Alexandra Moros Spain
Ernest Medina United States
Alessandra Pirola Italy
Peggy Masdehors France
Michael P. Thomas United States
Nuzhat N. Kabir Sweden
Srđana Grgurević United States
Sreedhar Venkannagari United States
Yongming Zhu China
Christopher J. Sneeringer relative to Jacek Marzec United Kingdom Jacek Marzec's profile →
Citations per field
00.5×2.9×
Jacek Marzec · 1×
Citations per year

Countries citing papers authored by Christopher J. Sneeringer

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Sneeringer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Sneeringer. 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 Christopher J. Sneeringer. The network helps show where Christopher J. Sneeringer may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Christopher J. Sneeringer, 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 Christopher J. Sneeringer Line = papers co-authored together Christopher J. Sneeringer links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 201830
2 20141
3 2011151
4
Coordinated activities of wild-type plus mutant EZH2 drive tumor-associated hypertrimethylation of lysine 27 on histone H3 (H3K27) in human B-cell lymphomasbreakdown →
2010500
5 20108

About Christopher J. Sneeringer

Christopher J. Sneeringer is a scholar working on Hematology, Molecular Biology and Immunology, having authored 5 papers that have together received 690 indexed citations. Recurring topics across this work include Cancer-related gene regulation (3 papers), Epigenetics and DNA Methylation (2 papers), RNA modifications and cancer (1 paper), Cancer-related Molecular Pathways (1 paper), Acute Myeloid Leukemia Research (1 paper), T-cell and B-cell Immunology (1 paper), Immune Cell Function and Interaction (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Molecular Biology (616 citations), Hematology (61 citations) and Genetics (52 citations). Christopher J. Sneeringer has collaborated with scholars based in United States and France. Frequent co-authors include Victoria M. Richon, Robert A. Copeland, Margaret Porter Scott, Kevin W. Kuntz, Sarah K. Knutson, Roy M. Pollock, Keith Elliston, Danielle Johnston, Lei Jin and Christina R. Majer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and European Journal of Cancer.

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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