Thomas d’Amato

1.2k citations
21 papers · 936 · h-index 12

Impact in

Papers in

Thomas d’Amato

18 papers receiving 902 citations

Peers

Thomas d’Amato
Comparison fields: 5 of 64
  • Pulmonary and Respiratory Medicine 506
  • Gastroenterology 83
  • Microbiology 6
  • Hepatology 41
  • Oncology 137
Replace Giovanni Sgroi with:
Giovanni Sgroi Italy
Byung-Tae Kim South Korea
Auxiliadora Gómez‐España Spain
Ken Evans Canada
Eliahu Gez Israel
Oichiro Kobori Japan
Wasserman Th United States
Akiko Todaka Japan
Takahiro Mimae Japan
Krsto Kolarić United States
Thomas d’Amato relative to Giovanni Sgroi Italy Giovanni Sgroi's profile →
Citations per field
00.5×1.6×
Giovanni Sgroi · 1×
Citations per year

Countries citing papers authored by Thomas d’Amato

Since Specialization
Citations

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

Fields of papers citing papers by Thomas d’Amato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas d’Amato. 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 Thomas d’Amato. The network helps show where Thomas d’Amato may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007248
2 2001195
3 200784
4 199879
5 199959
6 200144
7 200743
8 200642
9 200341
10 200934
11 200021
12 199915
13 200910
14 200710
15 20076
16 20072
17 19882
18 20071
19 20240
20 20240

About Thomas d’Amato

Thomas d’Amato is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology and Oncology, having authored 21 papers that have together received 936 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Cardiac Valve Diseases and Treatments (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Lung Cancer Research Studies (2 papers), Cardiac and Coronary Surgery Techniques (2 papers), Cardiac Structural Anomalies and Repair (2 papers) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (506 citations), Gastroenterology (83 citations), Microbiology (6 citations), Hepatology (41 citations) and Oncology (137 citations). Thomas d’Amato has collaborated with scholars based in United States and Canada. Frequent co-authors include Rodney J. Landreneau, James D. Luketich, Matthew J. Schuchert, Tibetha Santucci, Ricardo Sales dos Santos, Robert J. Weyant, Jan F. Silverman, Robin S. Macherey, Ming Y. Tung and Helen Han. Their work appears in journals such as The Annals of Thoracic Surgery, Annals of Surgical Oncology, Journal of Thoracic and Cardiovascular Surgery, Circulation and Blood.

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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