Michael J. DaValle

549 total citations
8 papers, 360 citations indexed

About

Michael J. DaValle is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Michael J. DaValle has authored 8 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 3 papers in Surgery and 2 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Michael J. DaValle's work include Cardiac, Anesthesia and Surgical Outcomes (4 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Sympathectomy and Hyperhidrosis Treatments (1 paper). Michael J. DaValle is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (4 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Sympathectomy and Hyperhidrosis Treatments (1 paper). Michael J. DaValle collaborates with scholars based in United States and Belgium. Michael J. DaValle's co-authors include Bruce D. Spiess, Kenneth J. Tuman, Robert J. McCarthy, Reza Dabir, Anthony D. Ivankovich, C. Frederick Kittle, L. Penfield Faber, Robert J. Jensik, F.Gregory Baumann and Ronnie Mintzer and has published in prestigious journals such as Anesthesiology, The Annals of Thoracic Surgery and Journal of Vascular Surgery.

In The Last Decade

Michael J. DaValle

7 papers receiving 339 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael J. DaValle United States 6 207 204 113 58 49 8 360
Charles J. Kopriva United States 13 267 1.3× 188 0.9× 99 0.9× 93 1.6× 72 1.5× 28 408
John Kneeshaw United Kingdom 8 168 0.8× 183 0.9× 190 1.7× 57 1.0× 27 0.6× 17 407
Yasu Oka United States 11 231 1.1× 421 2.1× 134 1.2× 45 0.8× 33 0.7× 24 552
Reza Dabir United States 9 248 1.2× 340 1.7× 43 0.4× 59 1.0× 61 1.2× 18 493
Sanjula Virmani India 11 165 0.8× 161 0.8× 131 1.2× 55 0.9× 34 0.7× 42 373
Fun Sun F. Yao United States 6 283 1.4× 323 1.6× 164 1.5× 55 0.9× 14 0.3× 9 450
Jens Pedersen Denmark 9 196 0.9× 118 0.6× 72 0.6× 40 0.7× 41 0.8× 10 352
M. T. Snider United States 6 146 0.7× 153 0.8× 212 1.9× 41 0.7× 24 0.5× 16 380
Örjan Wesslén Sweden 8 145 0.7× 186 0.9× 78 0.7× 46 0.8× 17 0.3× 17 369
Mustafa Güden Türkiye 12 198 1.0× 274 1.3× 107 0.9× 40 0.7× 41 0.8× 42 412

Countries citing papers authored by Michael J. DaValle

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. DaValle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. DaValle. 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 Michael J. DaValle. The network helps show where Michael J. DaValle may publish in the future.

Co-authorship network of co-authors of Michael J. DaValle

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

All Works

8 of 8 papers shown
1.
Tuman, Kenneth J., et al.. (1989). Does Choice of Anesthetic Agent Significantly Affect Outcome After Coronary Artery Surgery?. Survey of Anesthesiology. 33(6). 355–356. 1 indexed citations
2.
Tuman, Kenneth J., Robert J. McCarthy, Bruce D. Spiess, et al.. (1989). Does Choice of Anesthetic Agent Significantly Affect Outcome after Coronary Artery Surgery?. Anesthesiology. 70(2). 189–198. 110 indexed citations
3.
Tuman, Kenneth J., Robert J. McCarthy, Bruce D. Spiess, et al.. (1989). Effect of Pulmonary Artery Catheterization on Outcome in Patients Undergoing Coronary Artery Surgery. Anesthesiology. 70(2). 199–206. 130 indexed citations
4.
Hunter, James A., Giacomo A. DeLaria, Marshall D. Goldin, et al.. (1989). Inferior vena cava interruption with the hunter-sessions balloon: Eighteen years' experience in 191 cases. Journal of Vascular Surgery. 10(4). 450–456. 10 indexed citations
5.
Spiess, Bruce D. & Michael J. DaValle. (1988). Coagulation Monitoring in the Surgical Intensive Care Unit. Critical Care Clinics. 4(3). 605–620. 1 indexed citations
6.
DaValle, Michael J., L. Penfield Faber, C. Frederick Kittle, & Robert J. Jensik. (1986). Extrapleural Pneumonectomy for Diffuse, Malignant Mesothelioma. The Annals of Thoracic Surgery. 42(6). 612–618. 84 indexed citations
7.
DaValle, Michael J., et al.. (1984). Management of penetrating wounds of the back and flank.. PubMed. 159(6). 514–8. 16 indexed citations
8.
DaValle, Michael J., F.Gregory Baumann, Ronnie Mintzer, Tom Riles, & Anthony M. Imparato. (1981). Limited success of lumbar sympathectomy in the prevention of ischemic limb loss in diabetic patients.. PubMed. 152(6). 784–8. 8 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.

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