Silvia Taccogna

2.1k citations
28 papers · 1.6k indexed · 1 hit paper · h-index 13

Silvia Taccogna

26 papers receiving 1.5k citations

Hit Papers

Risk of Malignancy in Nonpalpable Thyroid Nodules: Predic...200220262010201820022505007501000

Peers

Silvia Taccogna
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Surgery 947
  • Radiology, Nuclear Medicine and Imaging 206
  • Oncology 180
  • Epidemiology 144
Replace Soo Yeon Hahn with:
Soo Yeon Hahn South Korea
Giovanni Fellegara Italy
Toni M. Robinson-Smith United States
C S Grant United States
Patricia Wasserman United States
Carol F. Adair United States
Seiji Kuma Japan
Giorgio Gardini Italy
Janusz Kopczyński Poland
Martin Bullock Canada
Silvia Taccogna relative to Soo Yeon Hahn South Korea Soo Yeon Hahn's profile →
Citations per field
00.5×1.5×
Soo Yeon Hahn · 1×
Citations per year

Countries citing papers authored by Silvia Taccogna

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Taccogna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Taccogna

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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8 59
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10 62
11 60
12 2
13 5
14 17
15 6
16 61
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Risk of Malignancy in Nonpalpable Thyroid Nodules: Predictive Value of Ultrasound and Color-Doppler Featuresbreakdown →
1016
18
Human malignant thyroid tumors displayed reduced levels of transforming growth factor beta receptor type II messenger RNA and protein.
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20 32

About Silvia Taccogna

Silvia Taccogna is a scholar working on Endocrinology, Diabetes and Metabolism, Metals and Alloys and Surgery, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (11 papers), Salivary Gland Tumors Diagnosis and Treatment (5 papers) and Head and Neck Anomalies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Surgery (947 citations) and Radiology, Nuclear Medicine and Imaging (206 citations). Silvia Taccogna has collaborated with scholars based in Italy, Switzerland and Czechia. Frequent co-authors include Francesco Nardi, Anna Crescenzi, A. Bianchini, Enrico Papini, Rinaldo Guglielmi, Claudio Maurizio Pacella, Vincenzo Toscano, Roberta Rinaldi, Pierpaolo Trimboli and Leo Guidobaldi. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Histopathology.

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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