Peter J. Basser

5.3k total citations · 1 hit paper
9 papers, 4.3k citations indexed

About

Peter J. Basser is a scholar working on Radiology, Nuclear Medicine and Imaging, Physical and Theoretical Chemistry and Organic Chemistry. According to data from OpenAlex, Peter J. Basser has authored 9 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Physical and Theoretical Chemistry and 2 papers in Organic Chemistry. Recurrent topics in Peter J. Basser's work include Advanced Neuroimaging Techniques and Applications (5 papers), MRI in cancer diagnosis (4 papers) and Electrostatics and Colloid Interactions (3 papers). Peter J. Basser is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (5 papers), MRI in cancer diagnosis (4 papers) and Electrostatics and Colloid Interactions (3 papers). Peter J. Basser collaborates with scholars based in United States and France. Peter J. Basser's co-authors include Carlo Pierpaoli, Denis Le Bihan, Anne‐Marie Hecht, D. Londono, Richard I. Shrager, Ferenc Horkay, Erik Geissler, Jian Cheng, Pew-Thian Yap and Dinggang Shen and has published in prestigious journals such as The Journal of Chemical Physics, Magnetic Resonance in Medicine and Lecture notes in computer science.

In The Last Decade

Peter J. Basser

9 papers receiving 4.3k citations

Hit Papers

Microstructural and Physiological Features of Tissues Elu... 1996 2026 2006 2016 1996 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter J. Basser United States 7 3.7k 983 934 493 403 9 4.3k
Jeffrey Duda United States 18 2.8k 0.8× 1.2k 1.3× 835 0.9× 387 0.8× 353 0.9× 44 4.0k
Alan Barnett United States 32 4.7k 1.3× 1.5k 1.5× 1.1k 1.2× 709 1.4× 588 1.5× 53 6.3k
Stefan Skare Sweden 28 4.4k 1.2× 2.0k 2.0× 970 1.0× 412 0.8× 372 0.9× 70 6.1k
Lauren J. O’Donnell United States 36 3.4k 0.9× 1.1k 1.2× 1.2k 1.3× 288 0.6× 339 0.8× 142 4.6k
David Raffelt Australia 17 2.8k 0.8× 1.3k 1.4× 771 0.8× 505 1.0× 470 1.2× 24 3.6k
Rita G. Nunes Portugal 23 3.2k 0.9× 1.6k 1.7× 862 0.9× 340 0.7× 709 1.8× 84 4.5k
Kegang Hua United States 10 3.8k 1.0× 2.0k 2.0× 976 1.0× 873 1.8× 623 1.5× 11 4.9k
Setsu Wakana United States 12 4.4k 1.2× 2.2k 2.2× 1.6k 1.7× 1.0k 2.0× 652 1.6× 12 5.5k
Torben Schneider United Kingdom 27 3.7k 1.0× 700 0.7× 624 0.7× 247 0.5× 369 0.9× 87 4.4k
Mariana Lazar United States 27 4.5k 1.2× 2.3k 2.3× 1.3k 1.4× 830 1.7× 828 2.1× 62 6.4k

Countries citing papers authored by Peter J. Basser

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Basser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter J. Basser

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

All Works

9 of 9 papers shown
1.
Horkay, Ferenc, Peter J. Basser, Anne‐Marie Hecht, & Erik Geissler. (2018). Ionic effects in semi-dilute biopolymer solutions: A small angle scattering study. The Journal of Chemical Physics. 149(16). 163312–163312. 17 indexed citations
2.
Cheng, Jian, Dinggang Shen, Pew-Thian Yap, & Peter J. Basser. (2015). Tensorial Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning. Lecture notes in computer science. 9349. 174–182. 11 indexed citations
3.
Horkay, Ferenc, et al.. (2011). Hierarchical Organization of Cartilage Proteoglycans. Macromolecular Symposia. 306-307(1). 11–17. 6 indexed citations
4.
Basser, Peter J., et al.. (2010). Counterion and pH‐Mediated Structural Changes in Charged Biopolymer Gels. Macromolecular Symposia. 291-292(1). 354–361. 5 indexed citations
5.
Basser, Peter J., et al.. (2009). Ions in hyaluronic acid solutions. The Journal of Chemical Physics. 131(18). 184902–184902. 77 indexed citations
6.
Shrager, Richard I. & Peter J. Basser. (1998). Anisotropically weighted MRI. Magnetic Resonance in Medicine. 40(1). 160–165. 22 indexed citations
7.
Basser, Peter J. & Carlo Pierpaoli. (1998). A simplified method to measure the diffusion tensor from seven MR images. Magnetic Resonance in Medicine. 39(6). 928–934. 499 indexed citations
8.
Basser, Peter J., et al.. (1997). The b matrix in diffusion tensor echo‐planar imaging. Magnetic Resonance in Medicine. 37(2). 292–300. 184 indexed citations
9.
Basser, Peter J. & Carlo Pierpaoli. (1996). Microstructural and Physiological Features of Tissues Elucidated by Quantitative-Diffusion-Tensor MRI. Journal of Magnetic Resonance Series B. 111(3). 209–219. 3517 indexed citations breakdown →

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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