Silvia Chiroli

46 total papers · 471 total citations
26 papers, 335 citations indexed

About

Silvia Chiroli is a scholar working on Genetics, Hematology and Nephrology. According to data from OpenAlex, Silvia Chiroli has authored 26 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 6 papers in Hematology and 5 papers in Nephrology. Recurrent topics in Silvia Chiroli's work include Chronic Myeloid Leukemia Treatments (6 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Parathyroid Disorders and Treatments (5 papers). Silvia Chiroli is often cited by papers focused on Chronic Myeloid Leukemia Treatments (6 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Parathyroid Disorders and Treatments (5 papers). Silvia Chiroli collaborates with scholars based in Italy, United States and Switzerland. Silvia Chiroli's co-authors include Carlo Dallocchio, Paolo Mazzarello, Sergio Iannazzo, Vasily Belozeroff, Giovanni Rosti, Quan V. Doan, Marco Danova, Ross M. Miller, Brian H. Nathanson and Jaime L. Natoli and has published in prestigious journals such as BMJ Open, Journal of Pain and Symptom Management and BMC Cancer.

In The Last Decade

Silvia Chiroli

23 papers receiving 324 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 Chiroli 88 87 84 56 43 26 335
H. Meindok 48 0.5× 22 0.3× 57 0.7× 33 0.6× 81 1.9× 25 347
Leland Graves 16 0.2× 50 0.6× 63 0.8× 78 1.4× 38 0.9× 27 385
Birthe H. Grynne 127 1.4× 61 0.7× 35 0.4× 14 0.3× 61 1.4× 24 373
Karin Blijdorp 48 0.5× 71 0.8× 30 0.4× 30 0.5× 42 1.0× 16 359
Naoki Matsumoto 94 1.1× 18 0.2× 65 0.8× 20 0.4× 115 2.7× 34 397
Stickler Gb 45 0.5× 19 0.2× 38 0.5× 53 0.9× 43 1.0× 18 296
Victoria Stokes 61 0.7× 23 0.3× 31 0.4× 33 0.6× 62 1.4× 21 355
H. Allan Bloomer 108 1.2× 13 0.1× 33 0.4× 19 0.3× 116 2.7× 15 372
Joseph Kim 65 0.7× 43 0.5× 17 0.2× 21 0.4× 21 0.5× 27 356
M. Fabregate 37 0.4× 26 0.3× 17 0.2× 27 0.5× 52 1.2× 27 353

Countries citing papers authored by Silvia Chiroli

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Chiroli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Chiroli

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Chiroli. A scholar is included among the top collaborators of Silvia Chiroli 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 Chiroli. Silvia Chiroli 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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