Silvia Ling

65 total papers · 503 total citations
16 papers, 295 citations indexed

About

Silvia Ling is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Silvia Ling has authored 16 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 10 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Silvia Ling's work include Multiple Myeloma Research and Treatments (10 papers), Ubiquitin and proteasome pathways (5 papers) and Protein Degradation and Inhibitors (5 papers). Silvia Ling is often cited by papers focused on Multiple Myeloma Research and Treatments (10 papers), Ubiquitin and proteasome pathways (5 papers) and Protein Degradation and Inhibitors (5 papers). Silvia Ling collaborates with scholars based in Australia, Canada and United States. Silvia Ling's co-authors include Tara L. Roberts, James M. Lee, P. Joy Ho, Harry Iland, Alberto Catalano, Noemi Horvath, Simon J. Harrison, Shaun Fleming, D. Joshua and John Allen and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Journal of Clinical Pathology.

In The Last Decade

Silvia Ling

14 papers receiving 292 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Silvia Ling 186 147 74 72 52 16 295
Alan Dunlop 200 1.1× 110 0.7× 106 1.4× 74 1.0× 56 1.1× 16 342
Philippa C. May 163 0.9× 203 1.4× 37 0.5× 68 0.9× 25 0.5× 19 360
Tommaso Perini 152 0.8× 103 0.7× 37 0.5× 60 0.8× 64 1.2× 18 257
Manuela Gambella 180 1.0× 191 1.3× 29 0.4× 115 1.6× 19 0.4× 13 279
Chiara Borga 152 0.8× 100 0.7× 43 0.6× 67 0.9× 22 0.4× 22 315
Sebastian E. Koschade 185 1.0× 77 0.5× 35 0.5× 37 0.5× 132 2.5× 24 322
Shelly Tartakover‐Matalon 187 1.0× 94 0.6× 31 0.4× 80 1.1× 27 0.5× 19 333
Lister Ta 143 0.8× 182 1.2× 40 0.5× 81 1.1× 15 0.3× 11 347
Tary Traore 261 1.4× 51 0.3× 22 0.3× 124 1.7× 40 0.8× 11 314
Simona Di Terlizzi 90 0.5× 99 0.7× 30 0.4× 52 0.7× 32 0.6× 14 285

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-authorship network of co-authors of Silvia Ling

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

All Works

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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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