Ferdinand Buonanno

1.2k total citations
17 papers, 903 citations indexed

About

Ferdinand Buonanno is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, Ferdinand Buonanno has authored 17 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Neurology. Recurrent topics in Ferdinand Buonanno's work include Advanced MRI Techniques and Applications (6 papers), Acute Ischemic Stroke Management (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Ferdinand Buonanno is often cited by papers focused on Advanced MRI Techniques and Applications (6 papers), Acute Ischemic Stroke Management (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Ferdinand Buonanno collaborates with scholars based in United States, Sweden and Israel. Ferdinand Buonanno's co-authors include J. Philip Kistler, Gerald M. Pohost, C. Tyler Burt, J H Newhouse, Walter J. Koroshetz, Paul F. J. New, T J Brady, Bruce R. Rosen, J M Taveras and Alan Z. Segal and has published in prestigious journals such as Neurology, Stroke and Radiology.

In The Last Decade

Ferdinand Buonanno

17 papers receiving 842 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ferdinand Buonanno United States 12 338 282 244 232 103 17 903
S W Atlas United States 22 436 1.3× 300 1.1× 537 2.2× 315 1.4× 311 3.0× 38 1.7k
Christoph Mönninghoff Germany 17 351 1.0× 124 0.4× 307 1.3× 206 0.9× 111 1.1× 38 985
Nathaniel Wycliffe United States 15 388 1.1× 206 0.7× 282 1.2× 317 1.4× 117 1.1× 34 1.3k
William A. Wagle United States 13 441 1.3× 81 0.3× 143 0.6× 179 0.8× 132 1.3× 19 906
Megan K. Strother United States 17 585 1.7× 293 1.0× 289 1.2× 249 1.1× 43 0.4× 30 1.0k
W. Schörner Germany 18 651 1.9× 156 0.6× 173 0.7× 155 0.7× 155 1.5× 100 1.2k
Lawrence Tanenbaum United States 19 596 1.8× 238 0.8× 237 1.0× 178 0.8× 261 2.5× 62 1.4k
G.R. Cherryman United Kingdom 16 390 1.2× 185 0.7× 269 1.1× 366 1.6× 167 1.6× 41 1.1k
Christoph Moenninghoff Germany 17 399 1.2× 170 0.6× 187 0.8× 196 0.8× 40 0.4× 42 831
F. Gückel Germany 16 972 2.9× 158 0.6× 156 0.6× 251 1.1× 69 0.7× 53 1.4k

Countries citing papers authored by Ferdinand Buonanno

Since Specialization
Citations

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

Fields of papers citing papers by Ferdinand Buonanno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferdinand Buonanno

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

All Works

17 of 17 papers shown
1.
Tian, Xuan, Yuanli Guo, Lulu Pei, et al.. (2020). Serum soluble ST2 is a potential long‐term prognostic biomarker for transient ischaemic attack and ischaemic stroke. European Journal of Neurology. 27(11). 2202–2208. 17 indexed citations
2.
Deng, Wenjun, Chris Beecher, Charles Burant, et al.. (2015). Metabolomic analysis reveals novel small molecule plasma markers of hyperacute ischemic stroke (S30.001). Neurology. 84(14_supplement). 2 indexed citations
3.
Deng, Wenjun, Chris Beecher, Charles Burant, et al.. (2015). Metabolomic analysis of PFO-related stroke shows immediate and persistent decrease of homocysteine post PFO closure (P2.277). Neurology. 84(14_supplement). 1 indexed citations
4.
Lopez, Mary F., David Sarracino, Maryann Vogelsang, et al.. (2012). Heart-Brain Signaling in Patent Foramen Ovale–Related Stroke. Journal of Investigative Medicine. 60(8). 1122–1130. 19 indexed citations
5.
Lopez, Mary F., David Sarracino, Amol Prakash, et al.. (2012). Discrimination of ischemic and hemorrhagic strokes using a multiplexed, mass spectrometry‐based assay for serum apolipoproteins coupled to multi‐marker ROC algorithm. PROTEOMICS - CLINICAL APPLICATIONS. 6(3-4). 190–200. 28 indexed citations
6.
Nogueira, Raul G., Albert J. Yoo, Ferdinand Buonanno, & Joshua A Hirsch. (2009). Endovascular Approaches to Acute Stroke, Part 2: A Comprehensive Review of Studies and Trials. American Journal of Neuroradiology. 30(5). 859–875. 76 indexed citations
7.
Berzin, Tyler M., Michael H. Lev, Daniel A. Goodman, et al.. (2001). CT Perfusion Imaging versus MR Diffusion Weighted Imaging: Prediction of Final Infarct Size in Hyperacute Stroke. Stroke. 32. 317–317. 10 indexed citations
8.
Rordorf, Guy, Walter J. Koroshetz, Mustapha A. Ezzeddine, Alan Z. Segal, & Ferdinand Buonanno. (2001). A pilot study of drug-induced hypertension for treatment of acute stroke. Neurology. 56(9). 1210–1213. 150 indexed citations
9.
Berzin, Tyler M., Michael H. Lev, Daniel Goodman, et al.. (2001). CT Perfusion Imaging versus MR Diffusion Weighted Imaging: Prediction of Final Infarct Size in Hyperacute Stroke. Stroke. 32(suppl_1). 317–317. 12 indexed citations
10.
Ay, Hakan, et al.. (1998). Sensory alien hand syndrome: case report and review of the literature. Journal of Neurology Neurosurgery & Psychiatry. 65(3). 366–369. 50 indexed citations
11.
Johnson, Keith A., K R Davis, Ferdinand Buonanno, et al.. (1987). Comparison of Magnetic Resonance and Roentgen Ray Computed Tomography in Dementia. Archives of Neurology. 44(10). 1075–1080. 55 indexed citations
12.
Brady, T J, Paul F. J. New, Ferdinand Buonanno, et al.. (1984). Nuclear magnetic resonance (NMR) imaging of tumors in the posterior fossa. Magnetic Resonance Imaging. 2(2). 155–155. 1 indexed citations
13.
Buonanno, Ferdinand, Ian L. Pykett, T J Brady, et al.. (1984). Proton NMR imaging in experimental ischemic infarction. Magnetic Resonance Imaging. 2(1). 70–70. 3 indexed citations
14.
Brady, T J, Ferdinand Buonanno, Ian L. Pykett, et al.. (1983). Preliminary clinical results of proton (1H) imaging of cranial neoplasms: in vivo measurements of T1 and mobile proton density.. American Journal of Neuroradiology. 4(3). 225–8. 15 indexed citations
15.
New, Paul F. J., Bruce R. Rosen, T J Brady, et al.. (1983). Potential hazards and artifacts of ferromagnetic and nonferromagnetic surgical and dental materials and devices in nuclear magnetic resonance imaging.. Radiology. 147(1). 139–148. 323 indexed citations
16.
Brady, T J, Mark C. Gebhardt, Ian L. Pykett, et al.. (1982). NMR imaging of forearms in healthy volunteers and patients with giant-cell tumor of bone.. Radiology. 144(3). 549–552. 49 indexed citations
17.
Brady, T J, M. Goldman, Ian L. Pykett, et al.. (1982). Proton nuclear magnetic resonance imaging of regionally ischemic canine hearts: effect of paramagnetic proton signal enhancement.. Radiology. 144(2). 343–347. 92 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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