Silvia Ling
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- Endoplasmic Reticulum Stress and Disease
Papers in
- Hematology 12
- Multiple Myeloma Research and Treatments 11
- Acute Myeloid Leukemia Research 1
-
- Protein Degradation and Inhibitors 5
- Ubiquitin and proteasome pathways 4
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Tara L. Roberts (3 shared papers)James M. Lee (1 shared paper)P. Joy Ho (4 shared papers)Harry Iland (2 shared papers)Alberto Catalano (1 shared paper)Simon J. Harrison (3 shared papers)Noemi Horvath (1 shared paper)D. Joshua (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)Bone Marrow Transplantation (1 paper)European Journal Of Haematology (1 paper)Haematologica (1 paper)Blood (1 paper)
- Partner nations
- AustraliaUnited StatesSpain
In The Last Decade
Silvia Ling
14 papers receiving 298 citations
Peers
Comparison fields: 5 of 50
- Hematology 132
- Cell Biology 71
- Oncology 64
- Molecular Biology 172
- Genetics 20
Countries citing papers authored by Silvia Ling
This map shows the geographic impact of Silvia Ling'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 Silvia Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Ling more than expected).
Fields of papers citing papers by Silvia Ling
This network shows the impact of papers produced by Silvia Ling. 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 Silvia Ling. The network helps show where Silvia Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Silvia Ling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 103 | |
| 2 | 2018 | 75 | |
| 3 | 2015 | 54 | |
| 4 | 2021 | 15 | |
| 5 | 2014 | 15 | |
| 6 | 2006 | 11 | |
| 7 | 2004 | 10 | |
| 8 | 2023 | 7 | |
| 9 | 2024 | 5 | |
| 10 | 2022 | 2 | |
| 11 | 2008 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2021 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2024 | 0 | |
| 17 | 2020 | 0 |
About Silvia Ling
Silvia Ling is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 17 papers that have together received 303 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (11 papers), Protein Degradation and Inhibitors (5 papers), Ubiquitin and proteasome pathways (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Cancer Treatment and Pharmacology (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Acute Myeloid Leukemia Research (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Hematology (132 citations), Cell Biology (71 citations), Oncology (64 citations), Molecular Biology (172 citations) and Genetics (20 citations). Silvia Ling has collaborated with scholars based in Australia, United States and Spain. Frequent co-authors include Tara L. Roberts, James M. Lee, P. Joy Ho, Harry Iland, Alberto Catalano, Simon J. Harrison, Noemi Horvath, D. Joshua, John Allen and Shaun Fleming. Their work appears in journals such as Journal of Clinical Oncology, Bone Marrow Transplantation, European Journal Of Haematology, Haematologica and Blood.
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.