Sahil Chawla

1.1k total citations
9 papers, 757 citations indexed

About

Sahil Chawla is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Sahil Chawla has authored 9 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Neurology and 2 papers in Neurology. Recurrent topics in Sahil Chawla's work include Extracellular vesicles in disease (7 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Bipolar Disorder and Treatment (2 papers). Sahil Chawla is often cited by papers focused on Extracellular vesicles in disease (7 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Bipolar Disorder and Treatment (2 papers). Sahil Chawla collaborates with scholars based in United States, Canada and Italy. Sahil Chawla's co-authors include Dimitrios Kapogiannis, Maja Mustapić, Lynn Pulliam, Bing Sun, Seema Gulyani, Yazhou Li, Michelle Shardell, David Tweedie, Thomas Foltynie and Kashfia Chowdhury and has published in prestigious journals such as SLEEP, Neurobiology of Aging and Journal of Psychiatric Research.

In The Last Decade

Sahil Chawla

9 papers receiving 748 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sahil Chawla United States	9	494	200	150	143	117	9	757
Charysse Vandendriessche Belgium	13	348 0.7×	79 0.4×	191 1.3×	173 1.2×	81 0.7×	21	657
Wen Lv China	11	542 1.1×	252 1.3×	114 0.8×	99 0.7×	270 2.3×	12	970
Lan Chu China	13	340 0.7×	119 0.6×	109 0.7×	125 0.9×	123 1.1×	30	642
Mingju Cao Canada	17	248 0.5×	74 0.4×	101 0.7×	143 1.0×	170 1.5×	34	780
Dacia Dalla Libera Italy	11	472 1.0×	184 0.9×	138 0.9×	297 2.1×	98 0.8×	22	949
Nicole Hanley Ireland	4	259 0.5×	86 0.4×	101 0.7×	335 2.3×	69 0.6×	7	694
Charisse N. Winston United States	16	612 1.2×	206 1.0×	281 1.9×	275 1.9×	265 2.3×	25	1.1k
Zhaoyou Meng China	13	208 0.4×	57 0.3×	76 0.5×	147 1.0×	113 1.0×	28	496
Hyeon-Sook Suh United States	12	273 0.6×	43 0.2×	132 0.9×	260 1.8×	122 1.0×	12	856

Countries citing papers authored by Sahil Chawla

Since Specialization

Citations

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

Fields of papers citing papers by Sahil Chawla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahil Chawla

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

All Works

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9 of 9 papers shown

Mansur, Rodrigo B., Francheska Delgado‐Peraza, Mehala Subramaniapillai, et al.. (2020). Extracellular Vesicle Biomarkers Reveal Inhibition of Neuroinflammation by Infliximab in Association with Antidepressant Response in Adults with Bipolar Depression. Cells. 9(4). 895–895. 46 indexed citations

Walker, Keenan A., Sahil Chawla, Carlos Nogueras‐Ortiz, et al.. (2020). Neuronal insulin signaling and brain structure in nondemented older adults: the Atherosclerosis Risk in Communities Study. Neurobiology of Aging. 97. 65–72. 16 indexed citations

Mansur, Rodrigo B., Francheska Delgado‐Peraza, Mehala Subramaniapillai, et al.. (2020). Exploring brain insulin resistance in adults with bipolar depression using extracellular vesicles of neuronal origin. Journal of Psychiatric Research. 133. 82–92. 37 indexed citations

Eren, Erden, Jack F.V. Hunt, Michelle Shardell, et al.. (2020). Extracellular vesicle biomarkers of Alzheimer's disease associated with sub‐clinical cognitive decline in late middle age. Alzheimer s & Dementia. 16(9). 1293–1304. 62 indexed citations

Bhargava, Pavan, Carlos Nogueras‐Ortiz, Sahil Chawla, et al.. (2019). Altered Levels of Toll-Like Receptors in Circulating Extracellular Vesicles in Multiple Sclerosis. Cells. 8(9). 1058–1058. 31 indexed citations

Pulliam, Lynn, Bing Sun, Maja Mustapić, Sahil Chawla, & Dimitrios Kapogiannis. (2019). Plasma neuronal exosomes serve as biomarkers of cognitive impairment in HIV infection and Alzheimer’s disease. Journal of NeuroVirology. 25(5). 702–709. 180 indexed citations

Chawla, Sahil, Seema Gulyani, Richard P. Allen, et al.. (2019). Extracellular vesicles reveal abnormalities in neuronal iron metabolism in restless legs syndrome. SLEEP. 42(7). 18 indexed citations

Kapogiannis, Dimitrios, Maja Mustapić, Michelle Shardell, et al.. (2019). Association of Extracellular Vesicle Biomarkers With Alzheimer Disease in the Baltimore Longitudinal Study of Aging. JAMA Neurology. 76(11). 1340–1340. 174 indexed citations

Athauda, Dilan, Seema Gulyani, Hanuma Kumar Karnati, et al.. (2019). Utility of Neuronal-Derived Exosomes to Examine Molecular Mechanisms That Affect Motor Function in Patients With Parkinson Disease. JAMA Neurology. 76(4). 420–420. 193 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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