Catherine Cheng

874 total citations
24 papers, 269 citations indexed

About

Catherine Cheng is a scholar working on Oncology, Pathology and Forensic Medicine and Aging. According to data from OpenAlex, Catherine Cheng has authored 24 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 7 papers in Pathology and Forensic Medicine and 4 papers in Aging. Recurrent topics in Catherine Cheng's work include CAR-T cell therapy research (16 papers), Lymphoma Diagnosis and Treatment (7 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Catherine Cheng is often cited by papers focused on CAR-T cell therapy research (16 papers), Lymphoma Diagnosis and Treatment (7 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Catherine Cheng collaborates with scholars based in United States, Germany and Switzerland. Catherine Cheng's co-authors include James F. Nelson, Barbara Savoldo, Jonathan S. Serody, Natalie S. Grover, Gianpietro Dotti, Jonathan Gelfond, Anastasia Ivanova, Randy Strong, Anne Beaven and J. Kaitlin Morrison and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Catherine Cheng

21 papers receiving 267 citations

Peers

Catherine Cheng
Comparison fields: 5 of 57
  • Oncology 167
  • Genetics 70
  • Molecular Biology 63
  • Pathology and Forensic Medicine 59
  • Biomedical Engineering 48
Replace Yun‐Fan You with:
Yun‐Fan You China
Amy Kluge United States
Sarah E. Sheppard United States
Anastasie Dunn‐Pirio United States
Jiali Wu China
Jun‐ichi Nagai Japan
Daniel Zlott United States
Haiyan Huang China
Ceren Saygı Türkiye
Yun‐Fan You China View profile →
Citations per field, relative to Catherine Cheng
Catherine Cheng · 1×
Citations per year, relative to Catherine Cheng
Catherine Cheng · 1×

Countries citing papers authored by Catherine Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Cheng. A scholar is included among the top collaborators of Catherine Cheng 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 Catherine Cheng. Catherine Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 1
5 0
6 11
7 8
8 5
9 4
10 1
11 3
12 28
13 6
14 53
15 20
16 20
17 4
18 17
19 8
20 1

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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