Greg Fleishman

446 total citations
11 papers, 199 citations indexed

About

Greg Fleishman is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Greg Fleishman has authored 11 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Greg Fleishman's work include Advanced Neuroimaging Techniques and Applications (5 papers), Single-cell and spatial transcriptomics (3 papers) and Medical Image Segmentation Techniques (3 papers). Greg Fleishman is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (5 papers), Single-cell and spatial transcriptomics (3 papers) and Medical Image Segmentation Techniques (3 papers). Greg Fleishman collaborates with scholars based in United States, Switzerland and Germany. Greg Fleishman's co-authors include Fredrick E. Henry, Yuhan Wang, Wyatt Korff, Mark Eddison, Paul W. Tillberg, Andrew L. Lemire, Scott M. Sternson, Konrad Rokicki, Paul M. Thompson and Martin Weigert and has published in prestigious journals such as Science, Cell and eLife.

In The Last Decade

Greg Fleishman

11 papers receiving 197 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greg Fleishman United States 7 91 32 29 29 26 11 199
Kryslaine L. Radomski United States 11 104 1.1× 26 0.8× 16 0.6× 86 3.0× 6 0.2× 17 404
Lisa Cook Canada 9 29 0.3× 30 0.9× 10 0.3× 18 0.6× 41 1.6× 18 172
Firat Kara United States 11 98 1.1× 47 1.5× 7 0.2× 95 3.3× 8 0.3× 26 350
Edwin Hernández-Garzón France 7 83 0.9× 26 0.8× 16 0.6× 78 2.7× 15 0.6× 10 282
Jineta Banerjee United States 7 36 0.4× 27 0.8× 20 0.7× 12 0.4× 13 0.5× 10 197
Brandon Brown United States 7 48 0.5× 86 2.7× 14 0.5× 69 2.4× 11 0.4× 17 270
Alexander Ngo United States 7 40 0.4× 53 1.7× 6 0.2× 24 0.8× 16 0.6× 13 222
A. Ferraresi Italy 9 46 0.5× 68 2.1× 8 0.3× 12 0.4× 11 0.4× 16 275
Marie‐Claude Jacquier Switzerland 10 113 1.2× 9 0.3× 44 1.5× 18 0.6× 7 0.3× 11 392
Felix Bruno Kleine Borgmann Luxembourg 8 50 0.5× 35 1.1× 10 0.3× 19 0.7× 43 1.7× 20 236

Countries citing papers authored by Greg Fleishman

Since Specialization
Citations

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

Fields of papers citing papers by Greg Fleishman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg Fleishman

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

All Works

11 of 11 papers shown
1.
Gandin, Valentina, Liang-Zhong Yang, Takashi Kawase, et al.. (2025). Deep-tissue transcriptomics and subcellular imaging at high spatial resolution. Science. 388(6744). eadq2084–eadq2084. 12 indexed citations
2.
Wang, Yuhan, Sabine Krabbe, Mark Eddison, et al.. (2023). Multimodal mapping of cell types and projections in the central nucleus of the amygdala. eLife. 12. 38 indexed citations
3.
Wang, Yuhan, Mark Eddison, Greg Fleishman, et al.. (2021). EASI-FISH for thick tissue defines lateral hypothalamus spatio-molecular organization. Cell. 184(26). 6361–6377.e24. 91 indexed citations
4.
Ding, Zhipeng, Greg Fleishman, Xiao Yang, et al.. (2019). Fast predictive simple geodesic regression. Medical Image Analysis. 56. 193–209. 6 indexed citations
5.
Dworkin, Jordan D., Kristin A. Linn, İpek Oğuz, et al.. (2018). An Automated Statistical Technique for Counting Distinct Multiple Sclerosis Lesions. American Journal of Neuroradiology. 39(4). 626–633. 27 indexed citations
6.
Fleishman, Greg, Dzung L. Pham, Snehashis Roy, et al.. (2018). Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentation. Lecture notes in computer science. 10670. 43–54. 7 indexed citations
7.
Fleishman, Greg & Paul M. Thompson. (2017). Adaptive gradient descent optimization of initial momenta for geodesic shooting in diffeomorphisms. PubMed. 2017. 868–872. 1 indexed citations
8.
Fleishman, Greg & Paul M. Thompson. (2017). The impact of matching functional on atrophy measurement from geodesic shooting in diffeomorphisms. PubMed. 37. 873–877. 1 indexed citations
9.
Fleishman, Greg, Boris A. Gutman, P. Thomas Fletcher, & Paul M. Thompson. (2015). A transformation similarity constraint for groupwise nonlinear registration in longitudinal neuroimaging studies. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9413. 94130X–94130X. 1 indexed citations
10.
Gutman, Boris A., P. Thomas Fletcher, M. Jorge Cardoso, et al.. (2015). A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Shapes. Lecture notes in computer science. 24. 205–218. 10 indexed citations
11.
Fleishman, Greg, Boris A. Gutman, P. Thomas Fletcher, & Paul M. Thompson. (2015). Simultaneous Longitudinal Registration with Group-Wise Similarity Prior. Lecture notes in computer science. 24. 746–757. 5 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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