Danielle C. Shing

587 citations
7 papers · 430 indexed · h-index 6

Impact in

Papers in

    • Acute Myeloid Leukemia Research 4
    • Protein Degradation and Inhibitors 2
    • Retinoids in leukemia and cellular processes 2

Danielle C. Shing

7 papers receiving 426 citations

Peers

Danielle C. Shing
Comparison fields: 5 of 41
  • Hematology 122
  • Pulmonary and Respiratory Medicine 142
  • Molecular Biology 261
  • Rheumatology 54
  • Oncology 87
Replace H. Gadner with:
H. Gadner Austria
Beth A. Pitel United States
Alain Aurias France
Sophie Kaltenbach France
Sabine Naumann United States
Linda M. Bavisotto United States
Isabella Bernardis Italy
Troy A. McEachron United States
Mathew W. Ludgate New Zealand
Zhifu Xiang United States
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Citations per field
00.5×8.3×
H. Gadner · 1×
Citations per year

Countries citing papers authored by Danielle C. Shing

Since Specialization
Citations

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

Fields of papers citing papers by Danielle C. Shing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle C. Shing. 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 Danielle C. Shing. The network helps show where Danielle C. Shing may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
FUS/ERG gene fusions in Ewing's tumors.
2003182
2 2006121
3 200754
4 201129
5 200225
6 200214
7 20005

About Danielle C. Shing

Danielle C. Shing is a scholar working on Hematology, Molecular Biology, Pulmonary and Respiratory Medicine, Immunology and Pathology and Forensic Medicine, having authored 7 papers that have together received 430 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Protein Degradation and Inhibitors (2 papers), Retinoids in leukemia and cellular processes (2 papers), T-cell and B-cell Immunology (2 papers), Immunotherapy and Immune Responses (2 papers), Cancer Genomics and Diagnostics (1 paper) and Systemic Lupus Erythematosus Research (1 paper). The work is most often cited by research in Hematology (122 citations), Pulmonary and Respiratory Medicine (142 citations), Molecular Biology (261 citations), Rheumatology (54 citations) and Oncology (87 citations). Danielle C. Shing has collaborated with scholars based in Italy, Netherlands and Spain. Frequent co-authors include Nicholas Coleman, James C. Nicholson, Kim Smith, Suet‐Feung Chin, Dominic McMullan, Pramila Ramani, C. Cullinane, Paul Roberts, R. M. Tillman and Pier Giuseppe Pelicci. Their work appears in journals such as Immunogenetics, Leukemia, Journal of Clinical Investigation, Scandinavian Journal of Rheumatology and Cytogenetic and Genome 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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