A Vivaldi

1.6k citations
33 papers · 1.2k · h-index 18

Impact in

Papers in

A Vivaldi

33 papers receiving 1.2k citations

Peers

A Vivaldi
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 588
  • Oncology 361
  • Pulmonary and Respiratory Medicine 392
  • Genetics 203
  • Cancer Research 108
Replace Vivian Weiß with:
Vivian Weiß United States
Sana Tabbara United States
Barbara L. Bane United States
Giorgia Acquaviva Italy
Xiao Shi China
S Holck Denmark
Sang‐Woo Juhng South Korea
Maxime Mallet France
Darrel Whitaker Australia
Yoshihisa Hama Japan
A Vivaldi relative to Vivian Weiß United States Vivian Weiß's profile →
Citations per field
00.5×4.7×
Vivian Weiß · 1×
Citations per year

Countries citing papers authored by A Vivaldi

Since Specialization
Citations

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

Fields of papers citing papers by A Vivaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A Vivaldi, 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 A Vivaldi Line = papers co-authored together A Vivaldi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007375
2 2007136
3 200572
4 201252
5 201151
6 199849
7 201149
8 200844
9
Molecular biology studies on mesothelioma tumor samples: preliminary data on H-ras, p21, and SV40.
199544
10 200441
11 200636
12 201036
13 200934
14 200532
15 200330
16 201120
17 200519
18 200817
19 200917
20 200315

About A Vivaldi

A Vivaldi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology, Pulmonary and Respiratory Medicine and Genetics, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (11 papers), Occupational and environmental lung diseases (9 papers), Cancer-related Molecular Pathways (6 papers), Pleural and Pulmonary Diseases (4 papers), Estrogen and related hormone effects (4 papers), Virus-based gene therapy research (3 papers), Retinoids in leukemia and cellular processes (3 papers) and Thyroid Disorders and Treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (588 citations), Oncology (361 citations), Pulmonary and Respiratory Medicine (392 citations), Genetics (203 citations) and Cancer Research (108 citations). A Vivaldi has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Rossella Elisei, Aldo Pinchera, Cristina Romei, Furio Pacini, Fulvio Basolo, Laura Agate, Barbara Cosci, Eleonora Molinaro, Pinuccia Faviana and Valeria Bottici. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Molecular and Cellular Endocrinology, Thyroid, The International Journal of Biological Markers and Cancer Research.

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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