André Khalil

1.4k total citations
39 papers, 719 citations indexed

About

André Khalil is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, André Khalil has authored 39 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Artificial Intelligence. Recurrent topics in André Khalil's work include Cellular Mechanics and Interactions (5 papers), Infrared Thermography in Medicine (5 papers) and AI in cancer detection (5 papers). André Khalil is often cited by papers focused on Cellular Mechanics and Interactions (5 papers), Infrared Thermography in Medicine (5 papers) and AI in cancer detection (5 papers). André Khalil collaborates with scholars based in United States, France and Russia. André Khalil's co-authors include A. Arnéodo, Clarissa A. Henry, Meghan Kelly, Michelle F. Goody, Chelsi J. Snow, Kevin D. Mills, Pierre Kestener, Bryan D. Crawford, Françoise Argoul and R. T. James McAteer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Astrophysical Journal.

In The Last Decade

André Khalil

37 papers receiving 710 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
André Khalil United States	17	286	143	81	79	67	39	719
H. Kawai Japan	22	404 1.4×	62 0.4×	65 0.8×	29 0.4×	177 2.6×	105	1.8k
J. P. Rigaut France	14	214 0.7×	75 0.5×	57 0.7×	31 0.4×	84 1.3×	29	660
Malte Schmick Germany	12	602 2.1×	229 1.6×	45 0.6×	18 0.2×	42 0.6×	18	1.2k
M. Beauchemin Canada	20	623 2.2×	87 0.6×	48 0.6×	47 0.6×	8 0.1×	57	1.2k
Xiaomei Zhu China	22	637 2.2×	53 0.4×	139 1.7×	22 0.3×	30 0.4×	77	1.3k
Emmanuel Faure France	10	386 1.3×	142 1.0×	28 0.3×	36 0.5×	216 3.2×	21	749
Jun Sung Park South Korea	10	753 2.6×	47 0.3×	44 0.5×	15 0.2×	84 1.3×	16	1.2k
Naoya Matsumoto Japan	17	193 0.7×	40 0.3×	29 0.4×	29 0.4×	94 1.4×	41	1.0k
Liang Ji China	10	223 0.8×	29 0.2×	19 0.2×	26 0.3×	109 1.6×	19	623
Sung‐Hong Park South Korea	16	295 1.0×	37 0.3×	709 8.8×	46 0.6×	36 0.5×	73	1.9k

Countries citing papers authored by André Khalil

Since Specialization

Citations

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

Fields of papers citing papers by André Khalil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André Khalil

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Chaofan, et al.. (2025). Context-guided segmentation for histopathologic cancer segmentation. Scientific Reports. 15(1). 5404–5404.

Hamilton, Joshua W., Anne Breggia, Timothy L. Fitzgerald, et al.. (2022). Multiscale anisotropy analysis of second-harmonic generation collagen imaging of human pancreatic cancer. Frontiers in Oncology. 12. 991850–991850. 2 indexed citations

Arnéodo, A., et al.. (2021). Loss of Mammographic Tissue Homeostasis in Invasive Lobular and Ductal Breast Carcinomas vs. Benign Lesions. Frontiers in Physiology. 12. 660883–660883. 2 indexed citations

Blaszkiewicz, Magdalena, et al.. (2021). Visualization and analysis of whole depot adipose tissue neural innervation. iScience. 24(10). 103127–103127. 29 indexed citations

Robitaille, Jean‐François, Isabelle Joncour, E. Moraux, et al.. (2020). Statistical model for filamentary structures of molecular clouds. Astronomy and Astrophysics. 641. A138–A138. 11 indexed citations

Khalil, André, et al.. (2019). NAD+ improves neuromuscular development in a zebrafish model of FKRP-associated dystroglycanopathy. Skeletal Muscle. 9(1). 21–21. 21 indexed citations

Garrett, Andrew M., et al.. (2018). DSCAM promotes self-avoidance in the developing mouse retina by masking the functions of cadherin superfamily members. Proceedings of the National Academy of Sciences. 115(43). E10216–E10224. 31 indexed citations

Marin, Zach, J. Kent Wallace, Jay Nadeau, & André Khalil. (2017). Wavelet-based tracking of bacteria in unreconstructed off-axis holograms. Methods. 136. 60–65. 4 indexed citations

Marin, Zach, Benjamin Audit, Stéphane Roux, et al.. (2016). Comparative Multifractal Analysis of Dynamic Infrared Thermograms and X-Ray Mammograms Enlightens Changes in the Environment of Malignant Tumors. Frontiers in Physiology. 7. 336–336. 19 indexed citations

10.

Marin, Zach, et al.. (2016). Computational growth model of breast microcalcification clusters in simulated mammographic environments. Computers in Biology and Medicine. 76. 7–13. 8 indexed citations

11.

Tanenbaum, Aaron, et al.. (2014). Wavelet-Based 3D Reconstruction of Microcalcification Clusters from Two Mammographic Views: New Evidence That Fractal Tumors Are Malignant and Euclidean Tumors Are Benign. PLoS ONE. 9(9). e107580–e107580. 31 indexed citations

12.

Goody, Michelle F., et al.. (2012). NAD+ Biosynthesis Ameliorates a Zebrafish Model of Muscular Dystrophy. PLoS Biology. 10(10). e1001409–e1001409. 69 indexed citations

13.

Goody, Michelle F., et al.. (2010). Nrk2b-mediated NAD+ production regulates cell adhesion and is required for muscle morphogenesis in vivo. Developmental Biology. 344(2). 809–826. 53 indexed citations

14.

Coustham, Vincent, et al.. (2010). Perinuclear distribution of heterochromatin in developing C. elegans embryos. Chromosome Research. 18(8). 873–885. 15 indexed citations

15.

Snow, Chelsi J., et al.. (2008). Muscle development is disrupted in zebrafish embryos deficient for fibronectin. Developmental Dynamics. 237(9). 2542–2553. 49 indexed citations

16.

Snow, Chelsi J., Michelle F. Goody, Meghan Kelly, et al.. (2008). Time-Lapse Analysis and Mathematical Characterization Elucidate Novel Mechanisms Underlying Muscle Morphogenesis. PLoS Genetics. 4(10). e1000219–e1000219. 43 indexed citations

17.

Batuski, D. J., et al.. (2007). New Statistical Methods to Analyze the Sloan Digital Sky Survey Data. Bulletin of the American Physical Society.

18.

Szatkiewicz, Jin P., Joerg Bewersdorf, Christoph Cremer, et al.. (2007). Chromosome neighborhood composition determines translocation outcomes after exposure to high-dose radiation in primary cells. Chromosome Research. 15(8). 1061–1073. 40 indexed citations

19.

Khalil, André, et al.. (2007). Chromosome territories have a highly nonspherical morphology and nonrandom positioning. Chromosome Research. 15(7). 899–916. 76 indexed citations

20.

Khalil, André, G. Joncas, & Fahima Nekka. (2004). Morphological Analysis of HiFeatures. I. Metric Space Technique. The Astrophysical Journal. 601(1). 352–364. 10 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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