Anjali Ganda

900 total citations
10 papers, 669 citations indexed

About

Anjali Ganda is a scholar working on Nephrology, Surgery and Molecular Biology. According to data from OpenAlex, Anjali Ganda has authored 10 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nephrology, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Anjali Ganda's work include Heart Failure Treatment and Management (3 papers), Dialysis and Renal Disease Management (3 papers) and Renal Transplantation Outcomes and Treatments (2 papers). Anjali Ganda is often cited by papers focused on Heart Failure Treatment and Management (3 papers), Dialysis and Renal Disease Management (3 papers) and Renal Transplantation Outcomes and Treatments (2 papers). Anjali Ganda collaborates with scholars based in United States, Netherlands and Italy. Anjali Ganda's co-authors include Alan R. Tall, P.C. Colombo, Duygu Onat, Ding Ai, Marit Westerterp, Ante Harxhi, Laurent Yvan‐Charvet, Nir Uriel, Gad Cotter and Jeffrey Lin and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Circulation Research.

In The Last Decade

Anjali Ganda

10 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anjali Ganda United States 8 208 197 176 170 118 10 669
Vincent Fridén Sweden 12 225 1.1× 190 1.0× 146 0.8× 116 0.7× 179 1.5× 14 830
Huairui Shi China 13 202 1.0× 442 2.2× 109 0.6× 180 1.1× 96 0.8× 19 725
Pia Lundman Sweden 8 303 1.5× 117 0.6× 159 0.9× 200 1.2× 115 1.0× 9 825
Qiangjun Cai United States 14 242 1.2× 143 0.7× 184 1.0× 123 0.7× 51 0.4× 28 653
Nieves Tarín Spain 15 198 1.0× 146 0.7× 125 0.7× 102 0.6× 93 0.8× 37 508
Yoshikage Yo Japan 11 210 1.0× 245 1.2× 296 1.7× 72 0.4× 72 0.6× 15 838
Hanjun Zhao China 15 377 1.8× 292 1.5× 274 1.6× 139 0.8× 38 0.3× 91 948
Yoshinori Mano Japan 13 189 0.9× 184 0.9× 94 0.5× 76 0.4× 51 0.4× 24 564
Sophie J. Bernelot Moens Netherlands 16 184 0.9× 194 1.0× 301 1.7× 212 1.2× 38 0.3× 23 823
Yoshihiro Sato Japan 14 248 1.2× 107 0.5× 280 1.6× 80 0.5× 45 0.4× 74 714

Countries citing papers authored by Anjali Ganda

Since Specialization
Citations

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

Fields of papers citing papers by Anjali Ganda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anjali Ganda

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

All Works

10 of 10 papers shown
1.
Westerterp, Marit, Emmanuel L. Gautier, Anjali Ganda, et al.. (2017). Cholesterol Accumulation in Dendritic Cells Links the Inflammasome to Acquired Immunity. Cell Metabolism. 25(6). 1294–1304.e6. 166 indexed citations
2.
Regunathan-Shenk, Renu, Farah Hussain, & Anjali Ganda. (2016). Chronic kidney disease and end-stage renal disease in disadvantaged communities of North America: an investigational challenge to limit disease progression and cardiovascular risk. Clinical Nephrology. 86(S1). 37–40. 4 indexed citations
3.
Ai, Ding, Hongfeng Jiang, Marit Westerterp, et al.. (2014). Disruption of Mammalian Target of Rapamycin Complex 1 in Macrophages Decreases Chemokine Gene Expression and Atherosclerosis. Circulation Research. 114(10). 1576–1584. 66 indexed citations
4.
Ganda, Anjali, Martin Magnusson, Laurent Yvan‐Charvet, et al.. (2013). Mild Renal Dysfunction and Metabolites Tied to Low HDL Cholesterol Are Associated With Monocytosis and Atherosclerosis. Circulation. 127(9). 988–996. 52 indexed citations
5.
Ai, Ding, Seongah Han, Anjali Ganda, et al.. (2012). Regulation of hepatic LDL receptors by mTORC1 and PCSK9 in mice. Journal of Clinical Investigation. 122(4). 1262–1270. 138 indexed citations
6.
7.
Colombo, P.C., Anjali Ganda, Jeffrey Lin, et al.. (2011). Inflammatory activation: cardiac, renal, and cardio-renal interactions in patients with the cardiorenal syndrome. Heart Failure Reviews. 17(2). 177–190. 159 indexed citations
8.
Latif, F., Nir Uriel, Anjali Ganda, et al.. (2011). 216 Effect of LVAD on the Prognostic Value of Baseline GFR for Long Term Renal Function in Patients Undergoing Heart Transplant (HTX). The Journal of Heart and Lung Transplantation. 30(4). S78–S79. 1 indexed citations
9.
Ganda, Anjali, Duygu Onat, Ryan T. Demmer, et al.. (2010). Venous Congestion and Endothelial Cell Activation in Acute Decompensated Heart Failure. Current Heart Failure Reports. 7(2). 66–74. 60 indexed citations
10.
Bucciarelli, Loredana, Andreas Pollreisz, Moritz Kebschull, et al.. (2009). Inflammatory stress in primary venous and aortic endothelial cells of type 1 diabetic mice. Diabetes and Vascular Disease Research. 6(4). 249–261. 8 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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