Swastika Sur

537 total citations
17 papers, 362 citations indexed

About

Swastika Sur is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Transplantation. According to data from OpenAlex, Swastika Sur has authored 17 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Transplantation. Recurrent topics in Swastika Sur's work include Renal Transplantation Outcomes and Treatments (4 papers), Single-cell and spatial transcriptomics (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). Swastika Sur is often cited by papers focused on Renal Transplantation Outcomes and Treatments (4 papers), Single-cell and spatial transcriptomics (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). Swastika Sur collaborates with scholars based in United States and Spain. Swastika Sur's co-authors include Cynthia St. Hilaire, Luis Hortells, Devendra K. Agrawal, Minnie Sarwal, Jeffrey T. Sugimoto, Tara K. Sigdel, Marina Sirota, Hans W. Sollinger, Priyanka Rashmi and Vicki J. Swier and has published in prestigious journals such as PLoS ONE, Arteriosclerosis Thrombosis and Vascular Biology and Frontiers in Immunology.

In The Last Decade

Swastika Sur

16 papers receiving 361 citations

Peers

Countries citing papers authored by Swastika Sur

Since Specialization

Citations

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

Fields of papers citing papers by Swastika Sur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swastika Sur

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

All Works

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17 of 17 papers shown

#	Title	Journal	Authors	Indexed citations
1	Novel mechanism for tubular injury in nephropathic cystinosis	eLife	Swastika Sur, Sílvia Pineda et al.	0
2	Plasma proteome perturbation for CMV DNAemia in kidney transplantation	PLoS ONE	Tara K. Sigdel, Priyanka Rashmi et al.	2
3	Proteome Analysis for Inflammation Related to Acute and Convalescent Infection	Inflammation	Tara K. Sigdel, Swastika Sur et al.	3
4	340.11: Flow Cytometric Pattern of Gamma Delta TCR Expression Identifies Outcomes in Kidney Transplantation	Transplantation	Swastika Sur, Tara K. Sigdel et al.	2
5	FcER1: A Novel Molecule Implicated in the Progression of Human Diabetic Kidney Disease	Frontiers in Immunology	Swastika Sur, Tara K. Sigdel et al.	17
6	Multiplexed droplet single-cell sequencing (Mux-Seq) of normal and transplant kidney	American Journal of Transplantation	Priyanka Rashmi, Swastika Sur et al.	13
7	Molecular Diversity of Clinically Stable Human Kidney Allografts	JAMA Network Open	Swastika Sur, Marina Sirota et al.	7
8	Near-Single-Cell Proteomics Profiling of the Proximal Tubular and Glomerulus of the Normal Human Kidney	Frontiers in Medicine	Tara K. Sigdel, Paul Piehowski et al.	16
9	NOVEL HUMAN KIDNEY CELL SUBSETS IDENTIFIED BY MUX-SEQ	Transplantation	Andrew Schroeder, Swastika Sur et al.	5
10	Peripheral Blood RNA Sequencing Unravels a Differential Signature of Coding and Noncoding Genes by Types of Kidney Allograft Rejection	Kidney International Reports	Sílvia Pineda, Swastika Sur et al.	18
11	Dysregulation of FOXO1 (Forkhead Box O1 Protein) Drives Calcification in Arterial Calcification due to Deficiency of CD73 and Is Present in Peripheral Artery Disease	Arteriosclerosis Thrombosis and Vascular Biology	William J. Moorhead, Claire Chu et al.	30
12	Cell Phenotype Transitions in Cardiovascular Calcification	Frontiers in Cardiovascular Medicine	Luis Hortells, Swastika Sur et al.	58
13	Increased Expression of Phosphorylated Polo-Like Kinase 1 and Histone in Bypass Vein Graft and Coronary Arteries following Angioplasty	PLoS ONE	Swastika Sur, Vicki J. Swier et al.	12
14	Phosphatases and kinases regulating CDC25 activity in the cell cycle: clinical implications of CDC25 overexpression and potential treatment strategies	Molecular and Cellular Biochemistry	Swastika Sur et al.	134
15	Functional constituents of a local serotonergic system, intrinsic to the human coronary artery smooth muscle cells	Molecular Biology Reports	Swastika Sur, Devendra K. Agrawal et al.	1
16	Transactivation of EGFR by G Protein-Coupled Receptor in the Pathophysiology of Intimal Hyperplasia	Current Vascular Pharmacology	Swastika Sur et al.	16
17	Coronary artery bypass graft: why is the saphenous vein prone to intimal hyperplasia?	Canadian Journal of Physiology and Pharmacology	Swastika Sur, Jeffrey T. Sugimoto et al.	28

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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