Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Detection of Deep-Vein Thrombosis by Real-Time B-Mode Ultrasonography
1989661 citationsAnthonie W.A. Lensing, Paolo Prandoni et al.New England Journal of Medicineprofile →
Citations per year, relative to G Tomasella G Tomasella (= 1×)
peers
Peter M. Huisman
Countries citing papers authored by G Tomasella
Since
Specialization
Citations
This map shows the geographic impact of G Tomasella'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 G Tomasella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Tomasella more than expected).
This network shows the impact of papers produced by G Tomasella. 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 G Tomasella. The network helps show where G Tomasella may publish in the future.
Co-authorship network of co-authors of G Tomasella
This figure shows the co-authorship network connecting the top 25 collaborators of G Tomasella.
A scholar is included among the top collaborators of G Tomasella 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 G Tomasella. G Tomasella is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tomasella, G. (2001). [Diagnostic imaging in primary hyperparathyroidism. Radiological techniques: US--CAT--MR].. PubMed. 26(1). 3–12.8 indexed citations
3.
Casara, Dario, Domenico Rubello, Giorgio Saladini, et al.. (1999). Clinical approach in patients with metastatic differentiated thyroid carcinoma and negative 131I whole body scintigraphy: importance of 99mTc MIBI scan combined with high resolution neck ultrasonography.. PubMed. 85(2). 122–7.12 indexed citations
Tomasella, G, et al.. (1991). [Ultrasonography in the study of lesions of the menisci and the collateral ligaments of the knee. Findings in 48 surgically treated patients].. PubMed. 81(6). 822–6.1 indexed citations
6.
Vigo, Mario, et al.. (1990). [Diagnosis of deep venous thrombosis of the legs: accuracy of ultrasonography using vein compression].. PubMed. 80(4). 463–8.4 indexed citations
7.
Lensing, Anthonie W.A., Paolo Prandoni, Dees P. M. Brandjes, et al.. (1989). Detection of Deep-Vein Thrombosis by Real-Time B-Mode Ultrasonography. New England Journal of Medicine. 320(6). 342–345.661 indexed citations breakdown →
8.
Corbetti, Francesco & G Tomasella. (1989). [Meniscal injuries of the knee: arthrographic and echographic study].. PubMed. 77(3). 187–94.3 indexed citations
9.
Vigo, Mario, Paolo Prandoni, Dario Casara, et al.. (1989). [The side effects of phlebography of the lower extremities using iohexol. A prospective study].. PubMed. 78(1-2). 53–6.1 indexed citations
10.
Tomasella, G, Mario Vigo, Maria Rosa Pelizzo, et al.. (1988). [High-resolution echography of the neck. Preoperative evaluation of lymph node metastases in patients with thyroid carcinoma].. PubMed. 75(4). 297–301.2 indexed citations
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.