Christopher M. Yan

457 citations
9 papers · 357 · h-index 7

Impact in

    • Viral-associated cancers and disorders
    • Polyomavirus and related diseases
    • Immune Cell Function and Interaction

Papers in

    • Genomics and Chromatin Dynamics 3
    • RNA and protein synthesis mechanisms 2
    • RNA Research and Splicing 2
    • Histone Deacetylase Inhibitors Research 1
    • Viral-associated cancers and disorders 2

Christopher M. Yan

9 papers receiving 356 citations

Peers

Christopher M. Yan
Comparison fields: 5 of 43
  • Oncology 181
  • Immunology 75
  • Epidemiology 103
  • Pathology and Forensic Medicine 51
  • Molecular Biology 176
Replace Charles Chau with:
Charles Chau United States
Richard D. Palermo United Kingdom
Eva Westphal United States
Jonathan Hoser Germany
Jason P. Tourigny United States
Lenka Skalska United Kingdom
Kimberly A. Malecka United States
Alexander Buschle Germany
Antoine Simoneau United States
Quentin Bazot United Kingdom
Christopher M. Yan relative to Charles Chau United States Charles Chau's profile →
Citations per field
00.5×
Charles Chau · 1×
Citations per year

Countries citing papers authored by Christopher M. Yan

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2010192
2 201533
3 200231
4 200929
5 201429
6 200326
7 201913
8 20133
9 20241

About Christopher M. Yan

Christopher M. Yan is a scholar working on Molecular Biology, Oncology, Plant Science, Surgery and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 357 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Chromosomal and Genetic Variations (3 papers), RNA and protein synthesis mechanisms (2 papers), Viral-associated cancers and disorders (2 papers), RNA Research and Splicing (2 papers), Connective tissue disorders research (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Oncology (181 citations), Immunology (75 citations), Epidemiology (103 citations), Pathology and Forensic Medicine (51 citations) and Molecular Biology (176 citations). Christopher M. Yan has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Pavel A. Nikitin, Micah A. Luftig, Arno L. Greenleaf, Bartlomiej Bartkowiak, Alessio Bocedi, William Kim, Robert E. White, David M. Tainter, Martin J. Allday and Jing Guo. Their work appears in journals such as PLoS ONE, Genetics, Cell Host & Microbe, Biomolecules and Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms.

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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