Maya N. Polackal

1.8k total citations · 1 hit paper
7 papers, 1.2k citations indexed

About

Maya N. Polackal is a scholar working on Radiology, Nuclear Medicine and Imaging, Hematology and Molecular Biology. According to data from OpenAlex, Maya N. Polackal has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Hematology and 2 papers in Molecular Biology. Recurrent topics in Maya N. Polackal's work include Advanced Neuroimaging Techniques and Applications (4 papers), Acute Myeloid Leukemia Research (3 papers) and MRI in cancer diagnosis (2 papers). Maya N. Polackal is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (4 papers), Acute Myeloid Leukemia Research (3 papers) and MRI in cancer diagnosis (2 papers). Maya N. Polackal collaborates with scholars based in United States, Australia and Thailand. Maya N. Polackal's co-authors include Susan MacLauchlan, Kenneth Walsh, José J. Fuster, María A. Zuriaga, Matthew A. Cooper, Sujatha Muralidharan, Sophia Jacob, Avril A. B. Robertson, Chia‐Ling Wu and Cristina Rius and has published in prestigious journals such as Science, NeuroImage and Cell Reports.

In The Last Decade

Maya N. Polackal

7 papers receiving 1.2k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Clonal hematopoiesis associated with TET2 deficiency accelerates atherosclerosis development in mice

2017 978 citations José J. Fuster, Susan MacLauchlan et al. Science profile →

Peers

Countries citing papers authored by Maya N. Polackal

Since Specialization

Citations

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

Fields of papers citing papers by Maya N. Polackal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya N. Polackal. 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 Maya N. Polackal. The network helps show where Maya N. Polackal may publish in the future.

Co-authorship network of co-authors of Maya N. Polackal

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

All Works

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7 of 7 papers shown

#	Work	Indexed citations
1	Comprehensive diffusion MRI dataset for in vivo human brain microstructure mapping using 300 mT/m gradients 2022 ·Scientific Data ·Qiyuan Tian, Qiuyun Fan, Thomas Witzel, Maya N. Polackal, Ned A. Ohringer, Chanon Ngamsombat, (unknown), (unknown), (unknown), Fuyixue Wang, Kawin Setsompop, Jon̈athan R. Polimeni, Boris Keil, Lawrence L. Wald, Bruce R. Rosen, Eric C. Klawiter, Aapo Nummenmaa, Susie Y. Huang	26
2	Scan-rescan repeatability of axonal imaging metrics using high-gradient diffusion MRI and statistical implications for study design 2021 ·NeuroImage ·Qiuyun Fan, Maya N. Polackal, Qiyuan Tian, Chanon Ngamsombat, Aapo Nummenmaa, Thomas Witzel, Eric C. Klawiter, Susie Y. Huang	7
3	TET2-Loss-of-Function-Driven Clonal Hematopoiesis Exacerbates Experimental Insulin Resistance in Aging and Obesity 2020 ·Cell Reports ·José J. Fuster, María A. Zuriaga, Virginia Zorita, Susan MacLauchlan, Maya N. Polackal, Vanesa Viana‐Huete, (unknown), Nuria Matesanz, Andrea Herrero-Cervera, (unknown), Matthew A. Cooper, Herminia González‐Navarro, Kenneth Walsh	132
4	Axonal damage in the optic radiation assessed by white matter tract integrity metrics is associated with retinal thinning in multiple sclerosis 2020 ·NeuroImage Clinical ·Chanon Ngamsombat, Qiyuan Tian, Qiuyun Fan, (unknown), (unknown), Maya N. Polackal, Ilena George, Thomas Witzel, Eric C. Klawiter, Susie Y. Huang	18
5	Evaluation of Ultrafast Wave-CAIPI MPRAGE for Visual Grading and Automated Measurement of Brain Tissue Volume 2020 ·American Journal of Neuroradiology ·Maria Gabriela Figueiró Longo, John Conklin, Stephen Cauley, Kawin Setsompop, Qiyuan Tian, Daniel Polak, Maya N. Polackal, Daniel Nicolas Splitthoff, (unknown), R. Gilberto González, Pamela W. Schaefer, John E. Kirsch, Otto Rapalino, Susie Y. Huang	28
6	Clonal hematopoiesis associated with TET2 deficiency accelerates atherosclerosis development in mice breakdown → 2017 ·Science ·José J. Fuster, Susan MacLauchlan, María A. Zuriaga, Maya N. Polackal, Allison C. Ostriker, Raja Chakraborty, Chia‐Ling Wu, (unknown), Sujatha Muralidharan, Cristina Rius, Jacqueline Vuong, Sophia Jacob, Varsha Muralidhar, Avril A. B. Robertson, Matthew A. Cooper, Vicente Andrés, Karen K. Hirschi, Kathleen A. Martin, Kenneth Walsh	978
7	Clonal hematopoiesis associated with TET2 deficiency accelerates atherosclerosis in hyperlipidemic mice 2017 ·Atherosclerosis ·José J. Fuster, Susan MacLauchlan, María A. Zuriaga, Maya N. Polackal, Kenneth Walsh	2

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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