Robert F. Padera

367 total papers · 31.7k total citations
185 papers, 16.0k citations indexed

About

Robert F. Padera is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Robert F. Padera has authored 185 papers receiving a total of 16.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Surgery, 42 papers in Pulmonary and Respiratory Medicine and 37 papers in Molecular Biology. Recurrent topics in Robert F. Padera's work include Cardiac Structural Anomalies and Repair (16 papers), Bone Tissue Engineering Materials (14 papers) and COVID-19 Clinical Research Studies (13 papers). Robert F. Padera is often cited by papers focused on Cardiac Structural Anomalies and Repair (16 papers), Bone Tissue Engineering Materials (14 papers) and COVID-19 Clinical Research Studies (13 papers). Robert F. Padera collaborates with scholars based in United States, Germany and Italy. Robert F. Padera's co-authors include Róbert Langer, Daniel S. Kohane, Hyunwoo Yuk, Christoph S. Nabzdyk, Xinyu Mao, Xuanhe Zhao, Ellen T. Roche, Claudia E. Varela, Paula T. Hammond and Lucian R. Chirieac and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Robert F. Padera

179 papers receiving 15.7k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Dry double-sided tape for adhesion of wet tissues and devices

2019 1.2k citations Hyunwoo Yuk, Claudia E. Varela et al. Nature profile →
BIBW2992, an irreversible EGFR/HER2 inhibitor highly effective in preclinical lung cancer models

2008 1.2k citations Lauren Ambrogio, Takeshi Shimamura et al. Oncogene profile →
Novel mutant-selective EGFR kinase inhibitors against EGFR T790M

2009 781 citations Wenjun Zhou, Dalia Ercan et al. Nature profile →
Biologic activity of cytotoxic T lymphocyte-associated antigen 4 antibody blockade in previously vaccinated metastatic melanoma and ovarian carcinoma patients

2003 776 citations F. Stephen Hodi, Martín C. Mihm et al. Proceedings of the National Academy of Sciences profile →
Cardiac Positron Emission Tomography Enhances Prognostic Assessments of Patients With Suspected Cardiac Sarcoidosis

2013 447 citations Ron Blankstein, Michael T. Osborne et al. Journal of the American College of Cardiology profile →
Ex-vivo perfusion of donor hearts for human heart transplantation (PROCEED II): a prospective, open-label, multicentre, randomised non-inferiority trial

2015 347 citations A. Ardehali, F. Esmailian et al. The Lancet profile →
Cardiovascular toxicities associated with immune checkpoint inhibitors

2019 331 citations Jiun‐Ruey Hu, Roberta Florido et al. Cardiovascular Research profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Robert F. Padera	3.9k	3.7k	3.6k	3.4k	3.2k	185	16.0k
Boris Hinz	7.3k 1.9×	3.1k 0.9×	4.6k 1.3×	2.9k 0.9×	3.9k 1.2×	175	25.5k
Robert P. Mecham	5.8k 1.5×	1.1k 0.3×	2.6k 0.7×	1.9k 0.6×	4.9k 1.5×	317	18.9k
Tingting Tang	5.0k 1.3×	1.8k 0.5×	4.2k 1.2×	6.3k 1.9×	891 0.3×	463	19.3k
Joseph A. Madri	8.4k 2.1×	2.2k 0.6×	2.5k 0.7×	1.1k 0.3×	1.8k 0.6×	239	20.7k
Richard W. Farndale	4.9k 1.2×	1.3k 0.3×	2.9k 0.8×	1.8k 0.5×	1.6k 0.5×	233	19.0k
Marsha A. Moses	7.8k 2.0×	3.5k 1.0×	1.9k 0.5×	1.4k 0.4×	1.5k 0.5×	212	15.3k
Diane S. Krause	8.9k 2.3×	2.7k 0.8×	9.0k 2.5×	1.7k 0.5×	2.6k 0.8×	150	24.9k
Thomas N. Wight	10.5k 2.7×	1.6k 0.4×	4.5k 1.2×	1.2k 0.4×	2.4k 0.8×	327	25.0k
Geoffrey C. Gurtner	7.7k 2.0×	2.2k 0.6×	7.7k 2.1×	3.3k 1.0×	1.3k 0.4×	348	29.6k
Elena Aïkawa	6.4k 1.6×	1.6k 0.4×	4.6k 1.3×	2.0k 0.6×	4.0k 1.3×	261	22.0k

Countries citing papers authored by Robert F. Padera

Since Specialization

Citations

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

Fields of papers citing papers by Robert F. Padera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert F. Padera. 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 Robert F. Padera. The network helps show where Robert F. Padera may publish in the future.

Co-authorship network of co-authors of Robert F. Padera

This figure shows the co-authorship network connecting the top 25 collaborators of Robert F. Padera. A scholar is included among the top collaborators of Robert F. Padera 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 Robert F. Padera. Robert F. Padera 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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