Pari Ranganathan

652 total citations
9 papers, 540 citations indexed

About

Pari Ranganathan is a scholar working on Molecular Biology, Physiology and Nephrology. According to data from OpenAlex, Pari Ranganathan has authored 9 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Nephrology. Recurrent topics in Pari Ranganathan's work include Gut microbiota and health (4 papers), Diet and metabolism studies (4 papers) and Clinical Nutrition and Gastroenterology (3 papers). Pari Ranganathan is often cited by papers focused on Gut microbiota and health (4 papers), Diet and metabolism studies (4 papers) and Clinical Nutrition and Gastroenterology (3 papers). Pari Ranganathan collaborates with scholars based in United States, Mexico and Canada. Pari Ranganathan's co-authors include Natarajan Ranganathan, Eli A. Friedman, Carlos G. Musso, David S. Goldfarb, A. Venketeshwer Rao, Barbara G. Delano, Emmanuel Anteyi, Paul Tam, Anthony J. Joseph and Usha Vyas and has published in prestigious journals such as PLoS ONE, Journal of the American Society of Nephrology and BioMed Research International.

In The Last Decade

Pari Ranganathan

9 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pari Ranganathan United States 6 334 248 188 91 65 9 540
Sohrab Nazertehrani United States 4 387 1.2× 216 0.9× 246 1.3× 48 0.5× 85 1.3× 5 653
Carla Juliana Ribeiro Dolenga Brazil 11 290 0.9× 288 1.2× 253 1.3× 82 0.9× 92 1.4× 15 642
Valentina Maranzano Italy 4 226 0.7× 147 0.6× 124 0.7× 92 1.0× 70 1.1× 5 414
Willian R. Ribeiro Brazil 8 426 1.3× 118 0.5× 247 1.3× 45 0.5× 61 0.9× 15 646
Kirstin Andersen Germany 5 348 1.0× 219 0.9× 194 1.0× 78 0.9× 45 0.7× 6 698
Frank J.-G. Luo United States 4 265 0.8× 353 1.4× 206 1.1× 36 0.4× 47 0.7× 5 608
Shan Xie China 4 262 0.8× 101 0.4× 151 0.8× 49 0.5× 28 0.4× 8 349
Jun-Qi Lu China 5 307 0.9× 72 0.3× 162 0.9× 44 0.5× 48 0.7× 9 418
Yan Jun Li Australia 6 269 0.8× 94 0.4× 157 0.8× 20 0.2× 35 0.5× 10 490
Yik Wen Loh Australia 7 270 0.8× 93 0.4× 155 0.8× 20 0.2× 32 0.5× 10 481

Countries citing papers authored by Pari Ranganathan

Since Specialization
Citations

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

Fields of papers citing papers by Pari Ranganathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pari Ranganathan

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

All Works

9 of 9 papers shown
1.
Ranganathan, Natarajan, et al.. (2020). A Double-Blind, Randomized, Placebo-Controlled with an Open-Label Rollover Extension Phase 2/3 Clinical Trial to Evaluate Safety and Efficacy of US-APR2020 in Subjects with CKD Stage IV. Journal of the American Society of Nephrology. 31(10S). 801–801. 1 indexed citations
2.
García‐Arroyo, Fernando E., Edilia Tapia, Virgilia Soto, et al.. (2018). Probiotic supplements prevented oxonic acid-induced hyperuricemia and renal damage. PLoS ONE. 13(8). e0202901–e0202901. 67 indexed citations
3.
Ranganathan, Natarajan, et al.. (2017). Quality of Life in Chronic Kidney Disease Patients Using a Synbiotic Dietary Supplement: a Survey. 2(1). 1 indexed citations
4.
Saggi, Subodh J., Kelly Mercier, Jessica Gooding, et al.. (2017). Metabolic profiling of a chronic kidney disease cohort reveals metabolic phenotype more likely to benefit from a probiotic.. PubMed. 12(1). 43–54. 10 indexed citations
5.
Ranganathan, Natarajan, Usha Vyas, Pari Ranganathan, et al.. (2014). Randomized Controlled Trial of Strain-Specific Probiotic Formulation (Renadyl) in Dialysis Patients. BioMed Research International. 2014. 1–9. 122 indexed citations
6.
Ranganathan, Natarajan, Pari Ranganathan, Eli A. Friedman, et al.. (2010). Pilot study of probiotic dietary supplementation for promoting healthy kidney function in patients with chronic kidney disease. Advances in Therapy. 27(9). 634–647. 191 indexed citations
7.
Ranganathan, Natarajan, Pari Ranganathan, Stephen Dunn, et al.. (2006). In Vitro and In Vivo Assessment of Intraintestinal Bacteriotherapy in Chronic Kidney Disease. ASAIO Journal. 52(1). 70–79. 78 indexed citations
8.
Ranganathan, Natarajan, et al.. (2006). THE EFFECT OF ENVIRONMENT ON KIBOW BIOTICS?? DURING INTERNATIONAL TRAVEL. ASAIO Journal. 52(2). 74A–74A. 1 indexed citations
9.
Ranganathan, Natarajan, et al.. (2005). Probiotic Amelioration of Azotemia in 5/6th Nephrectomized Sprague-Dawley Rats. The Scientific World JOURNAL. 5. 652–660. 69 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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