Udit Agarwal

479 total citations
6 papers, 379 citations indexed

About

Udit Agarwal is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Udit Agarwal has authored 6 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Surgery. Recurrent topics in Udit Agarwal's work include Cardiac Fibrosis and Remodeling (3 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Mesenchymal stem cell research (2 papers). Udit Agarwal is often cited by papers focused on Cardiac Fibrosis and Remodeling (3 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Mesenchymal stem cell research (2 papers). Udit Agarwal collaborates with scholars based in United States. Udit Agarwal's co-authors include Marc S. Penn, Feng Dong, James E. Harvey, Amanda Finan, Manu O. Platt, Alex George, Michael Davis, Milton E. Brown, Shohini Ghosh-Choudhary and Yaxuan Liang and has published in prestigious journals such as Circulation, Circulation Research and Journal of Molecular and Cellular Cardiology.

In The Last Decade

Udit Agarwal

6 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Udit Agarwal United States	6	231	161	93	88	76	6	379
Naisana S. Asli Australia	9	363 1.6×	217 1.3×	96 1.0×	110 1.3×	95 1.3×	10	492
Haoyue Huang China	13	335 1.5×	142 0.9×	180 1.9×	92 1.0×	89 1.2×	33	571
К. В. Дергилев Russia	9	178 0.8×	181 1.1×	49 0.5×	73 0.8×	143 1.9×	56	390
Maria Colzani United Kingdom	9	319 1.4×	121 0.8×	149 1.6×	60 0.7×	50 0.7×	16	529
Beatrice Bassetti Italy	12	273 1.2×	153 1.0×	127 1.4×	90 1.0×	89 1.2×	21	439
Viviana Lo Cicero Switzerland	10	291 1.3×	184 1.1×	97 1.0×	40 0.5×	210 2.8×	14	493
Eva Koellensperger Germany	15	132 0.6×	229 1.4×	55 0.6×	180 2.0×	179 2.4×	24	625
Sabrina Soncin Switzerland	9	221 1.0×	102 0.6×	83 0.9×	38 0.4×	100 1.3×	11	326
Luis Rodrı́guez-Borlado Spain	13	290 1.3×	92 0.6×	81 0.9×	59 0.7×	71 0.9×	20	483

Countries citing papers authored by Udit Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Udit Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Udit Agarwal

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

All Works

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6 of 6 papers shown

1.

George, Alex, et al.. (2019). Using Statistical Modeling to Understand and Predict Pediatric Stem Cell Function. Circulation Genomic and Precision Medicine. 12(6). e002403–e002403. 5 indexed citations

2.

Agarwal, Udit, Alex George, Shohini Ghosh-Choudhary, et al.. (2016). Experimental, Systems, and Computational Approaches to Understanding the MicroRNA-Mediated Reparative Potential of Cardiac Progenitor Cell–Derived Exosomes From Pediatric Patients. Circulation Research. 120(4). 701–712. 138 indexed citations

3.

Agarwal, Udit, Kristin M. French, Archana V. Boopathy, et al.. (2016). Age-Dependent Effect of Pediatric Cardiac Progenitor Cells After Juvenile Heart Failure. Stem Cells Translational Medicine. 5(7). 883–892. 58 indexed citations

4.

Dong, Feng, et al.. (2012). Myocardial CXCR4 Expression Is Required for Mesenchymal Stem Cell Mediated Repair Following Acute Myocardial Infarction. Circulation. 126(3). 314–324. 115 indexed citations

5.

Agarwal, Udit, et al.. (2010). Critical role for white blood cell NAD(P)H oxidase-mediated plasminogen activator inhibitor-1 oxidation and ventricular rupture following acute myocardial infarction. Journal of Molecular and Cellular Cardiology. 50(3). 426–432. 7 indexed citations

6.

Agarwal, Udit, Feng Dong, Yong-Rui Zou, et al.. (2010). Role of Cardiac Myocyte CXCR4 Expression in Development and Left Ventricular Remodeling After Acute Myocardial Infarction. Circulation Research. 107(5). 667–676. 56 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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