Van Cherington

1.1k citations
27 papers · 958 indexed · h-index 16

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
    • Mesenchymal stem cell research
  • Oncology top 10%
    • Polyomavirus and related diseases
    • CAR-T cell therapy research
    • Cancer-related Molecular Pathways

Papers in

    • Virus-based gene therapy research 15
    • Polyomavirus and related diseases 5

Van Cherington

27 papers receiving 922 citations

Peers

Van Cherington
Comparison fields: 5 of 84
  • Genetics 365
  • Oncology 303
  • Genetics 115
  • Molecular Biology 525
  • Parasitology 34
Replace Hua Chang with:
Hua Chang United States
Teruaki Nomura Japan
D. Booth United Kingdom
Eric M. Oshiro United States
Jimmy Tan United States
Jeng-Shin Lee United States
Elizabeth Geras‐Raaka United States
Abel Acosta‐Sanchez Belgium
Jérôme Artus France
Y. Nakatani Japan
Van Cherington relative to Hua Chang United States Hua Chang's profile →
Citations per field
00.5×1.5×1.9×
Hua Chang · 1×
Citations per year

Countries citing papers authored by Van Cherington

Since Specialization
Citations

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

Fields of papers citing papers by Van Cherington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994156
2 199786
3 198686
4 199781
5 198879
6 199477
7 198861
8 199356
9 199635
10 199833
11 198829
12 199926
13 198722
14 199618
15 199516
16 199915
17 199614
18 199914
19 199413
20 199811

About Van Cherington

Van Cherington is a scholar working on Genetics, Oncology, Molecular Biology, Immunology and Cell Biology, having authored 27 papers that have together received 958 indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), RNA Interference and Gene Delivery (7 papers), Polyomavirus and related diseases (5 papers), Herpesvirus Infections and Treatments (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Signaling Pathways in Disease (2 papers), Nerve injury and regeneration (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Genetics (365 citations), Oncology (303 citations), Genetics (115 citations), Molecular Biology (525 citations) and Parasitology (34 citations). Van Cherington has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Thomas M. Roberts, Bruce M. Spiegelman, Peimin Qi, Arthur S. Tischler, Barak Morgan, Julian K. Wu, E Paucha, Shelley A. Grubman, Linda C. Rogers and Andrew E. Mulberg. Their work appears in journals such as Human Gene Therapy, Molecular and Cellular Biology, Neurosurgery, Journal of neurosurgery and Experimental Cell Research.

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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