Silvia Ling

513 citations
16 papers · 298 · h-index 7

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Multiple Myeloma Research and Treatments 10
    • Protein Degradation and Inhibitors 5
    • Ubiquitin and proteasome pathways 5

Silvia Ling

14 papers receiving 295 citations

Peers

Silvia Ling
Comparison fields: 5 of 53
  • Hematology 149
  • Cell Biology 76
  • Molecular Biology 187
  • Oncology 71
  • Genetics 21
Replace Manuela Gambella with:
Manuela Gambella Italy
Liliana H. Mochmann Germany
Valentina Agnusdei Italy
Y-T Tai United States
Nirmalee Abayasekara United States
Colin A. Martz United States
Esther Tijchon Netherlands
Maria Rosaria Imperato United Kingdom
Romain Aucagne France
Jin Woo Park South Korea
Silvia Ling relative to Manuela Gambella Italy Manuela Gambella's profile →
Citations per field
00.5×2.6×
Manuela Gambella · 1×
Citations per year

Countries citing papers authored by Silvia Ling

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Silvia Ling Line = papers co-authored together Silvia Ling links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2011103
2 201873
3 201554
4 201415
5 202114
6 200611
7 200410
8 20236
9 20245
10 20232
11 20082
12 20221
13 20201
14 20211
15 20240
16 20200

About Silvia Ling

Silvia Ling is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 16 papers that have together received 298 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (10 papers), Protein Degradation and Inhibitors (5 papers), Ubiquitin and proteasome pathways (5 papers), Cancer Treatment and Pharmacology (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Hematology (149 citations), Cell Biology (76 citations), Molecular Biology (187 citations), Oncology (71 citations) and Genetics (21 citations). Silvia Ling has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Tara L. Roberts, James M. Lee, Harry Iland, P. Joy Ho, D. Joshua, Alberto Catalano, Noemi Horvath, Shaun Fleming, John Allen and Simon J. Harrison. Their work appears in journals such as Journal of Vision, Haematologica, Journal of Clinical Pathology, Journal of Clinical Oncology and Cells.

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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