Mansi Parekh

35 total papers · 1.4k total citations
22 papers, 610 citations indexed

About

Mansi Parekh is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mansi Parekh has authored 22 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Cognitive Neuroscience and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mansi Parekh's work include Advanced Neuroimaging Techniques and Applications (7 papers), Advanced MRI Techniques and Applications (5 papers) and Functional Brain Connectivity Studies (4 papers). Mansi Parekh is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (7 papers), Advanced MRI Techniques and Applications (5 papers) and Functional Brain Connectivity Studies (4 papers). Mansi Parekh collaborates with scholars based in United States, Latvia and Canada. Mansi Parekh's co-authors include Mohammed Inayathullah, Jayakumar Rajadas, Thomas H. Mareci, Arita Dubņika, Paul R. Carney, Dagnija Loča, Vita Rudoviča, Līga Bērziņa-Cimdiņa, Abhijit Achyut Gurjarpadhye and Venkata Raveendra Pothineni and has published in prestigious journals such as PLoS ONE, NeuroImage and Journal of Neurophysiology.

In The Last Decade

Mansi Parekh

20 papers receiving 592 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mansi Parekh	124	121	111	86	86	22	610
Bhavana Solanky	83 0.7×	214 1.8×	21 0.2×	90 1.0×	77 0.9×	26	651
Junwei Gong	90 0.7×	102 0.8×	35 0.3×	96 1.1×	56 0.7×	31	634
József Constantin Széles	110 0.9×	65 0.5×	120 1.1×	66 0.8×	40 0.5×	34	503
С. В. Буравков	126 1.0×	59 0.5×	57 0.5×	250 2.9×	131 1.5×	51	616
Chih‐Chin Heather Hsu	42 0.3×	67 0.6×	99 0.9×	85 1.0×	49 0.6×	21	524
Yi Zhang	93 0.8×	27 0.2×	158 1.4×	156 1.8×	53 0.6×	34	642
Yi Zhong	76 0.6×	42 0.3×	91 0.8×	194 2.3×	21 0.2×	56	681
Steven Deleye	46 0.4×	162 1.3×	48 0.4×	91 1.1×	77 0.9×	33	533
Ethan M. Clement	40 0.3×	190 1.6×	32 0.3×	105 1.2×	23 0.3×	22	568
Jens T. Rosenberg	90 0.7×	170 1.4×	17 0.2×	114 1.3×	96 1.1×	33	671

Countries citing papers authored by Mansi Parekh

Since Specialization

Citations

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

Fields of papers citing papers by Mansi Parekh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mansi Parekh

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

All Works

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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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