Charly R. Good

1.4k citations
11 papers · 371 indexed · 1 hit paper · h-index 8
Topics
Epigenetics and DNA Methylation (5 papers)CAR-T cell therapy research (4 papers)RNA modifications and cancer (3 papers)
Partner nations
United States

In The Last Decade

Charly R. Good

9 papers receiving 367 citations

Hit Papers

Deletion of the inhibitory co-receptor CTLA-4 enhances an...20232026202420252023255075100

Peers

Charly R. Good
Comparison fields: 5 of 59
  • Molecular Biology 269
  • Oncology 128
  • Immunology 46
  • Genetics 45
  • Cancer Research 35
Replace Lin Fu with:
Lin Fu China
Matthew E. Bechard United States
Bruno Lemieux Canada
Barbara Martins Da Costa United Kingdom
Mayinuer Maitituoheti United States
Bárbara Peixoto Brazil
Sanne M. van Neerven Netherlands
Candace J. Poole United States
Naishitha Anaparthy United States
Nina Prokoph United Kingdom
Charly R. Good relative to Lin Fu China Lin Fu's profile →
Citations per field
00.5×7.5×
Lin Fu · 1×
Citations per year

Countries citing papers authored by Charly R. Good

Since Specialization
Citations

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

Fields of papers citing papers by Charly R. Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charly R. Good. 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 Charly R. Good. The network helps show where Charly R. Good may publish in the future.

Co-authorship network of co-authors of Charly R. Good

This figure shows the co-authorship network connecting the top 25 collaborators of Charly R. Good. A scholar is included among the top collaborators of Charly R. Good based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charly R. Good. Charly R. Good is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 4
2 13
3 0
4 14
5
Deletion of the inhibitory co-receptor CTLA-4 enhances and invigorates chimeric antigen receptor T cellsbreakdown →
104
6 64
7 10
8 108
9 7
10 47
11 0

About Charly R. Good

Charly R. Good is a scholar working on Oncology, Immunology and Molecular Biology, having authored 11 papers that have together received 371 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), CAR-T cell therapy research (4 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Oncology (128 citations), Molecular Biology (269 citations) and Cancer Research (35 citations). Charly R. Good has collaborated with scholars based in United States. Frequent co-authors include Jaroslav Jelı́nek, Jozef Madžo, Jean‐Pierre J. Issa, Bela Patel, Andrew D. Kelly, Shoghag Panjarian, Shelley L. Berger, Shinji Maegawa, Nora Engel and Joseph A. Fraietta. Their work appears in journals such as Nucleic Acids Research, Immunity and Molecular Cell.

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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