Supriya Ramesha

463 total citations
10 papers, 219 citations indexed

About

Supriya Ramesha is a scholar working on Neurology, Physiology and Immunology. According to data from OpenAlex, Supriya Ramesha has authored 10 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 4 papers in Physiology and 4 papers in Immunology. Recurrent topics in Supriya Ramesha's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Alzheimer's disease research and treatments (4 papers) and Immune cells in cancer (3 papers). Supriya Ramesha is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Alzheimer's disease research and treatments (4 papers) and Immune cells in cancer (3 papers). Supriya Ramesha collaborates with scholars based in United States and China. Supriya Ramesha's co-authors include Srikant Rangaraju, Tianwen Gao, Levi B. Wood, Hailian Xiao, Nicholas T. Seyfried, Laura D. Weinstock, Eric B. Dammer, Allan I. Levey, James J. Lah and Lingyan Ping and has published in prestigious journals such as Neurology, Epilepsia and Journal of Neuroinflammation.

In The Last Decade

Supriya Ramesha

8 papers receiving 218 citations

Peers

Supriya Ramesha

NEURO

PHYSI

MB

PMH

IMMUN

Barbara von Ungern‐Sternberg Germany

Tomoko Sao Japan

Ludovic Perrot Switzerland

Marta Querol‐Vilaseca Spain

Felix Overhoff Germany

Federico Probst Germany

Carola Focke Germany

Helen Crehan United Kingdom

Kévin Carvalho France

Florent Letronne United States

Barbara von Ungern‐Sternberg Germany

Supriya Ramesha

73 ×0.7

NEURO

104 ×1.3

PHYSI

60 ×1.0

MB

29 ×0.7

PMH

18 ×0.5

IMMUN

Citations per year, relative to Supriya Ramesha Supriya Ramesha (= 1×) peers Barbara von Ungern‐Sternberg

Countries citing papers authored by Supriya Ramesha

Since Specialization

Citations

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

Fields of papers citing papers by Supriya Ramesha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supriya Ramesha

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

All Works

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10 of 10 papers shown

1.

Ramesha, Supriya, et al.. (2024). Successful Treatment of Immune Checkpoint Inhibitor Induced Optic Neuritis (P3-14.004). Neurology. 102(17_supplement_1).

2.

Sudwarts, Ari, Supriya Ramesha, Tianwen Gao, et al.. (2022). BIN1 is a key regulator of proinflammatory and neurodegeneration-related activation in microglia. Molecular Neurodegeneration. 17(1). 33–33. 51 indexed citations

3.

Ramesha, Supriya, Laura D. Weinstock, Tianwen Gao, et al.. (2021). Extracellular signal‐regulated kinase regulates microglial immune responses in Alzheimer’s disease. Journal of Neuroscience Research. 99(6). 1704–1721. 61 indexed citations

4.

Ramesha, Supriya, et al.. (2021). Systemic inflammation elicits distinct brain immune signaling dynamics in female and male mice with AD pathology. Alzheimer s & Dementia. 17(S3). 1 indexed citations

5.

Gupta, Kunal, Ammar Kheder, Satyanarayana Gedela, et al.. (2020). Stereotactic MRI‐guided laser interstitial thermal therapy for extratemporal lobe epilepsy. Epilepsia. 61(8). 1723–1734. 37 indexed citations

6.

Rayaprolu, Sruti, Tianwen Gao, Hailian Xiao, et al.. (2020). Flow-cytometric microglial sorting coupled with quantitative proteomics identifies moesin as a highly-abundant microglial protein with relevance to Alzheimer’s disease. Molecular Neurodegeneration. 15(1). 28–28. 43 indexed citations

7.

Ramesha, Supriya, et al.. (2020). Human plasma proteomics for biomarker discovery for ischemic stroke and TIA (5081). Neurology. 94(15_supplement). 1 indexed citations

8.

Ramesha, Supriya, Sruti Rayaprolu, & Srikant Rangaraju. (2020). Flow Cytometry Approach to Characterize Phagocytic Properties of Acutely-Isolated Adult Microglia and Brain Macrophages In Vitro. Journal of Visualized Experiments. 6 indexed citations

9.

Gao, Tianwen, Syed Ali Raza, Supriya Ramesha, et al.. (2019). Temporal profiling of Kv1.3 channel expression in brain mononuclear phagocytes following ischemic stroke. Journal of Neuroinflammation. 16(1). 116–116. 19 indexed citations

10.

Gao, Tianwen, Hailian Xiao, Supriya Ramesha, et al.. (2019). O4‐09‐02: REGULATION OF PRO‐INFLAMMATORY AND DISEASE‐ASSOCIATED MICROGLIAL ACTIVATION BY BIN1. Alzheimer s & Dementia. 15(7S_Part_24).

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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