David Feiglin

2.8k total citations · 1 hit paper
86 papers, 2.1k citations indexed

About

David Feiglin is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David Feiglin has authored 86 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Biomedical Engineering and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David Feiglin's work include Medical Imaging Techniques and Applications (35 papers), Advanced MRI Techniques and Applications (18 papers) and Advanced X-ray and CT Imaging (15 papers). David Feiglin is often cited by papers focused on Medical Imaging Techniques and Applications (35 papers), Advanced MRI Techniques and Applications (18 papers) and Advanced X-ray and CT Imaging (15 papers). David Feiglin collaborates with scholars based in United States, China and Canada. David Feiglin's co-authors include Francis Boumphrey, D W Piraino, Michael T. Modic, M A Weinstein, Susan J. Rehm, P M Duchesneau, Michael T. Modic, Peter R. McLaughlin, Andrzej Król and Maurice N. Druck and has published in prestigious journals such as Nature, Circulation and Cancer.

In The Last Decade

David Feiglin

82 papers receiving 1.9k citations

Hit Papers

Vertebral osteomyelitis: assessment using MR. 1985 2026 1998 2012 1985 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Feiglin United States 20 847 357 270 220 211 86 2.1k
Bo Chen China 27 862 1.0× 293 0.8× 182 0.7× 396 1.8× 436 2.1× 180 2.5k
L. Bonomo Italy 30 649 0.8× 765 2.1× 148 0.5× 390 1.8× 160 0.8× 183 2.8k
Helle Westergren Hendel Denmark 23 531 0.6× 276 0.8× 261 1.0× 167 0.8× 306 1.5× 70 2.2k
Hajime Yokota Japan 23 505 0.6× 924 2.6× 170 0.6× 171 0.8× 223 1.1× 166 2.2k
Shingo Baba Japan 26 518 0.6× 984 2.8× 211 0.8× 339 1.5× 297 1.4× 142 2.5k
Qing Lü China 25 489 0.6× 750 2.1× 122 0.5× 234 1.1× 282 1.3× 124 2.2k
Takuya Ueno Japan 27 486 0.6× 160 0.4× 449 1.7× 518 2.4× 573 2.7× 92 2.9k
R T Lee United States 9 588 0.7× 336 0.9× 529 2.0× 129 0.6× 302 1.4× 10 1.5k
N. Cary United Kingdom 23 1.6k 1.9× 163 0.5× 734 2.7× 409 1.9× 612 2.9× 53 3.2k
V. Wu Hong Kong 27 717 0.8× 553 1.5× 65 0.2× 248 1.1× 304 1.4× 107 2.2k

Countries citing papers authored by David Feiglin

Since Specialization
Citations

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

Fields of papers citing papers by David Feiglin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Feiglin

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

All Works

20 of 20 papers shown
1.
Lu, Chenying, Fahim Zaman, Xiaodong Wu, et al.. (2022). Predicting adverse cardiac events in sarcoidosis: deep learning from automated characterization of regional myocardial remodeling. The International Journal of Cardiovascular Imaging. 38(8). 1825–1836. 13 indexed citations
2.
Scalzetti, Ernest M., et al.. (2018). Mechanical interventricular dependency supports hemodynamics in tako-tsubo cardiomyopathy. Journal of Thoracic Disease. 10(5). 3027–3038. 3 indexed citations
3.
Chen, Jian, Ernest M. Scalzetti, David Feiglin, et al.. (2017). Myocardial contractile patterns predict future cardiac events in sarcoidosis. International journal of cardiac imaging. 34(2). 251–262. 14 indexed citations
4.
Zhang, Jiahan, et al.. (2017). Preconditioned alternating projection algorithm for solving the penalized-likelihood SPECT reconstruction problem. Physica Medica. 38. 23–35. 4 indexed citations
5.
Spadaro, Joseph A., et al.. (2010). Electromagnetic effects on forearm disuse osteopenia: A randomized, double-blind, sham-controlled study. Bioelectromagnetics. 32(4). 273–282. 12 indexed citations
6.
Mandel, James A., et al.. (2009). Computerized method for nonrigid MR-to-PET breast-image registration. Computers in Biology and Medicine. 40(1). 37–53. 21 indexed citations
7.
Mandel, James A., et al.. (2006). MRI/PET nonrigid breast-image registration using skin fiducial markers. Physica Medica. 21. 39–43. 19 indexed citations
8.
Król, Andrzej, J.E. Bowsher, S.H. Manglos, et al.. (2001). An EM algorithm for estimating SPECT emission and transmission parameters from emission data only. IEEE Transactions on Medical Imaging. 20(3). 218–232. 63 indexed citations
9.
Kanaley, Jill A., Andrew G. Swick, Lori L. Ploutz‐Snyder, et al.. (2001). Abdominal fat distribution in pre- and postmenopausal women: The impact of physical activity, age, and menopausal status. Metabolism. 50(8). 976–982. 125 indexed citations
10.
Davis, Richard L., Antony E. Shrimpton, P D Holohan, et al.. (1999). Familial dementia caused by polymerization of mutant neuroserpin. Nature. 401(6751). 376–379. 283 indexed citations
11.
Agrawal, Saurabh, et al.. (1999). Invasive Aspergillosis Diagnosed by Fine-Needle Aspiration of the Thyroid Gland. Thyroid. 9(11). 1119–1122. 12 indexed citations
12.
Feiglin, David, et al.. (1996). Imaging of a Giant Meckel's Diverticulum in a Young Adult. Clinical Nuclear Medicine. 21(6). 481–482. 2 indexed citations
13.
Feiglin, David, et al.. (1995). Liposuction fat-fillant implant for breast augmentation and reconstruction. Aesthetic Plastic Surgery. 19(5). 427–437. 28 indexed citations
14.
Poulton, T B, et al.. (1993). Bone marrow reconversion in adults who are smokers: MR Imaging findings.. American Journal of Roentgenology. 161(6). 1217–1221. 72 indexed citations
15.
Murphy, William D., Gregory C. Hurst, Jeffrey L. Duerk, et al.. (1991). Atypical appearance of lipomatous tumors on MR images: High signal intensity with fat‐suppression STIR sequences. Journal of Magnetic Resonance Imaging. 1(4). 477–480. 10 indexed citations
16.
Cordasco, Edward M., et al.. (1990). Multiplane gallium tomography in assessment of occupational chest diseases. American Journal of Industrial Medicine. 17(3). 285–297. 5 indexed citations
17.
Murphy, William D., et al.. (1990). Magnetic resonance imaging of a third trimester abdominal pregnancy. Magnetic Resonance Imaging. 8(5). 657–659. 19 indexed citations
18.
Saha, Gopal B., et al.. (1986). Experience with Technetium-99m Albumin Colloid Kit for Reticuloendothelial System Imaging. Journal of Nuclear Medicine Technology. 14(3). 149–151. 11 indexed citations
19.
Baron, Murray, et al.. (1983). 67Gallium lung scans in progressive systemic sclerosis. Arthritis & Rheumatism. 26(8). 969–974. 22 indexed citations
20.
Wald, Robert W., et al.. (1978). Myocardial perfusion imaging with thallium-201: correlation with coronary arteriography and electrocardiography.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 118(3). 283–7.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026