Anna Cheng

14 papers receiving 580 citations

Hit Papers

Mechanisms generating cancer genome complexity from a single cell division error 2020 · 276 citations
2760+2+4Years since publication50100150200250

Peers

Anna Cheng
Comparison fields: 5 of 94
  • Immunology and Allergy 49
  • Cell Biology 125
  • Cancer Research 105
  • Molecular Biology 331
  • Health, Toxicology and Mutagenesis 65
Replace Akiko Spindle with:
Akiko Spindle United States
Corinne Petit-Frère United Kingdom
Christophe Pivôt-Pajot France
C.J. O’Doherty United Kingdom
E Orino Japan
Maria A. Whitehead United Kingdom
Cynthia L. Innes United States
R. William Ireland
S. K. Das United States
Alicia Quiñonero Spain
Anna Cheng relative to Akiko Spindle United States Akiko Spindle's profile →
Citations per field
00.5×10×15×20×23×
Akiko Spindle · 1×
Citations per year

Countries citing papers authored by Anna Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Anna Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Mechanisms generating cancer genome complexity from a single cell division error
Hit paper breakdown →
2020276
2 200967
3 200166
4 201152
5 201533
6 201628
7 199926
8 201116
9 202116
10 20224
11 20242
12 20152
13 20202
14 20231
15 20240

About Anna Cheng

Anna Cheng is a scholar working on Oncology, Cancer Research, Immunology and Allergy, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 591 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (3 papers), Allergic Rhinitis and Sensitization (2 papers), Computational Drug Discovery Methods (2 papers), Indoor Air Quality and Microbial Exposure (2 papers), HER2/EGFR in Cancer Research (2 papers), Asthma and respiratory diseases (2 papers), Advanced Breast Cancer Therapies (2 papers) and Hemophilia Treatment and Research (1 paper). The work is most often cited by research in Immunology and Allergy (49 citations), Cell Biology (125 citations), Cancer Research (105 citations), Molecular Biology (331 citations) and Health, Toxicology and Mutagenesis (65 citations). Anna Cheng has collaborated with scholars based in United States, Australia and Taiwan. Frequent co-authors include Richard W. Tourdot, Hannah F. Almubarak, Alexander Spektor, Thomas J. Mitchell, Kim Judge, Cheng‐Zhong Zhang, David Pellman, Lili Sun, Neil T. Umbreit and Jennifer M. Rolland. Their work appears in journals such as Journal of Clinical Oncology, Journal of Biological Chemistry, Advances in Pediatrics, Science and Breast Cancer Research and Treatment.

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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