Harshal Waghulde

736 total citations
16 papers, 577 citations indexed

About

Harshal Waghulde is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Harshal Waghulde has authored 16 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 6 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Genetics. Recurrent topics in Harshal Waghulde's work include Hormonal Regulation and Hypertension (6 papers), Genetic Associations and Epidemiology (4 papers) and Renin-Angiotensin System Studies (4 papers). Harshal Waghulde is often cited by papers focused on Hormonal Regulation and Hypertension (6 papers), Genetic Associations and Epidemiology (4 papers) and Renin-Angiotensin System Studies (4 papers). Harshal Waghulde collaborates with scholars based in United States, United Kingdom and India. Harshal Waghulde's co-authors include Bina Joe, Blair Mell, Anna V. Mathew, Youjie Zhang, Bodduluri Haribabu, Subramaniam Pennathur, Venkatakrishna R. Jala, Matam Vijay–Kumar, Jaeman Byun and Mahalaxmi Mohan and has published in prestigious journals such as Nature Communications, PLoS ONE and Kidney International.

In The Last Decade

Harshal Waghulde

16 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harshal Waghulde United States 10 339 258 135 128 71 16 577
Courtney Millar United States 14 173 0.5× 176 0.7× 114 0.8× 136 1.1× 96 1.4× 32 606
Rennan Feng China 15 305 0.9× 287 1.1× 116 0.9× 198 1.5× 121 1.7× 23 733
Ruth M. Connaughton Ireland 7 154 0.5× 257 1.0× 77 0.6× 62 0.5× 102 1.4× 7 646
Juan de Toro‐Martín Canada 11 218 0.6× 228 0.9× 76 0.6× 153 1.2× 77 1.1× 35 638
Johanna H. M. Stroeve Netherlands 13 339 1.0× 365 1.4× 58 0.4× 117 0.9× 92 1.3× 13 824
Fumiyuki Nakagawa Japan 9 219 0.6× 201 0.8× 174 1.3× 36 0.3× 63 0.9× 12 520
Kembra Albracht‐Schulte United States 12 119 0.4× 252 1.0× 152 1.1× 70 0.5× 86 1.2× 19 545
Dustin J. Burnett United States 14 161 0.5× 184 0.7× 92 0.7× 119 0.9× 22 0.3× 27 520
Prasad P. Devarshi United States 13 195 0.6× 204 0.8× 197 1.5× 73 0.6× 75 1.1× 23 634
Zahra Solati Canada 10 164 0.5× 96 0.4× 110 0.8× 43 0.3× 48 0.7× 15 432

Countries citing papers authored by Harshal Waghulde

Since Specialization
Citations

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

Fields of papers citing papers by Harshal Waghulde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harshal Waghulde

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

All Works

16 of 16 papers shown
1.
Ashraf, Usman, Fawaz Alasmari, Harshal Waghulde, et al.. (2023). Intrarenal Dopaminergic System Is Dysregulated in SS-Resp18mutant Rats. Biomedicines. 11(1). 111–111. 1 indexed citations
2.
Waghulde, Harshal, et al.. (2018). Fine mapping of epistatic genetic determinants of blood pressure on rat chromosome 5. Journal of Hypertension. 36(7). 1486–1491. 2 indexed citations
3.
Kumarasamy, Sivarajan, Harshal Waghulde, Xi Cheng, et al.. (2018). Targeted disruption of regulated endocrine-specific protein (Resp18) in Dahl SS/Mcw rats aggravates salt-induced hypertension and renal injury. Physiological Genomics. 50(5). 369–375. 10 indexed citations
4.
Waghulde, Harshal, Xi Cheng, Sarah Galla, et al.. (2018). Attenuation of Microbiotal Dysbiosis and Hypertension in a CRISPR/Cas9 Gene Ablation Rat Model of GPER1. Hypertension. 72(5). 1125–1132. 45 indexed citations
5.
Cheng, Xi, Harshal Waghulde, Blair Mell, et al.. (2017). Positional cloning of quantitative trait nucleotides for blood pressure and cardiac QT-interval by targeted CRISPR/Cas9 editing of a novel long non-coding RNA. PLoS Genetics. 13(8). e1006961–e1006961. 27 indexed citations
6.
Waghulde, Harshal. (2016). Mapping and CRISPR/Cas9 Gene Editing for Identifying Novel Genomic Factors Influencing Blood Pressure. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations
7.
Cheng, Xi, Harshal Waghulde, Blair Mell, et al.. (2016). Pleiotropic Effect of a High Resolution Mapped Blood Pressure QTL on Tumorigenesis. PLoS ONE. 11(4). e0153519–e0153519. 5 indexed citations
8.
Haller, Steven T., Sivarajan Kumarasamy, Leah M. Wuescher, et al.. (2016). Targeted disruption of Cd40 in a genetically hypertensive rat model attenuates renal fibrosis and proteinuria, independent of blood pressure. Kidney International. 91(2). 365–374. 13 indexed citations
9.
Nie, Ying, Sivarajan Kumarasamy, Harshal Waghulde, et al.. (2016). High-resolution mapping of a novel rat blood pressure locus on chromosome 9 to a region containing the Spp2 gene and colocalization of a QTL for bone mass. Physiological Genomics. 48(6). 409–419. 8 indexed citations
10.
Kumarasamy, Sivarajan, Harshal Waghulde, Kathirvel Gopalakrishnan, et al.. (2015). Mutation within the hinge region of the transcription factor Nr2f2 attenuates salt-sensitive hypertension. Nature Communications. 6(1). 6252–6252. 18 indexed citations
11.
Mell, Blair, Venkatakrishna R. Jala, Anna V. Mathew, et al.. (2015). Evidence for a link between gut microbiota and hypertension in the Dahl rat. Physiological Genomics. 47(6). 187–197. 324 indexed citations
12.
Mell, Blair, Shakila Abdul-Majeed, Sivarajan Kumarasamy, et al.. (2014). Multiple blood pressure loci with opposing blood pressure effects on rat chromosome 1 in a homologous region linked to hypertension on human chromosome 15. Hypertension Research. 38(1). 61–67. 11 indexed citations
13.
Waghulde, Harshal, Ying Nie, Kathirvel Gopalakrishnan, et al.. (2013). Isolation and high-throughput sequencing of two closely linked epistatic hypertension susceptibility loci with a panel of bicongenic strains. Physiological Genomics. 45(16). 729–736. 13 indexed citations
14.
Waghulde, Harshal, et al.. (2011). Antioxidant Activity, Phenol and Flavonoid Contents of Seeds of Punica Granatum (Punicaceae) and Solanum Torvum (Solanaceae). 13 indexed citations
15.
Waghulde, Harshal, Mahalaxmi Mohan, Sanjay Kasture, & R Balaraman. (2010). Punica granatum attenuates angiotensin-II induced hypertension in Wistar rats.. International Journal of PharmTech Research. 2(1). 60–67. 8 indexed citations
16.
Mohan, Mahalaxmi, Harshal Waghulde, & Sanjay Kasture. (2009). Effect of pomegranate juice on Angiotensin II‐induced hypertension in diabetic wistar rats. Phytotherapy Research. 24(S2). S196–203. 78 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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