Aruni Jha

514 total citations
21 papers, 373 citations indexed

About

Aruni Jha is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Aruni Jha has authored 21 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Molecular Biology. Recurrent topics in Aruni Jha's work include Asthma and respiratory diseases (9 papers), Immune Response and Inflammation (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Aruni Jha is often cited by papers focused on Asthma and respiratory diseases (9 papers), Immune Response and Inflammation (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Aruni Jha collaborates with scholars based in Canada, United States and United Kingdom. Aruni Jha's co-authors include Andrew J. Halayko, Min Hyung Ryu, Oluwaseun O. Ojo, Helmut Unruh, Pawan Sharma, Sujata Basu, Thomas H. Mahood, Charles S. Wong, Christopher D. Pascoe and Saeid Ghavami and has published in prestigious journals such as Circulation, Scientific Reports and Endocrinology.

In The Last Decade

Aruni Jha

20 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aruni Jha Canada 11 134 105 74 57 48 21 373
A. Brent Carter United States 12 58 0.4× 177 1.7× 145 2.0× 84 1.5× 58 1.2× 17 412
Chellakkan S. Blesson United States 15 78 0.6× 15 0.1× 110 1.5× 89 1.6× 30 0.6× 44 523
Monika Zbucka-Krętowska Poland 16 81 0.6× 34 0.3× 210 2.8× 70 1.2× 54 1.1× 46 621
S. Y. Wu United States 15 67 0.5× 103 1.0× 99 1.3× 12 0.2× 20 0.4× 26 573
Nora Martínez Argentina 20 88 0.7× 43 0.4× 280 3.8× 73 1.3× 41 0.9× 44 772
Viktoria Kuhn Germany 5 151 1.1× 70 0.7× 73 1.0× 21 0.4× 65 1.4× 7 390
Jia Yang China 11 82 0.6× 25 0.2× 151 2.0× 69 1.2× 24 0.5× 25 359
Anying Xiong China 12 37 0.3× 145 1.4× 218 2.9× 82 1.4× 54 1.1× 26 585
Mai Nguyen United States 7 89 0.7× 81 0.8× 89 1.2× 74 1.3× 22 0.5× 15 329
Adriana Grismaldo Colombia 11 38 0.3× 20 0.2× 93 1.3× 23 0.4× 35 0.7× 18 315

Countries citing papers authored by Aruni Jha

Since Specialization
Citations

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

Fields of papers citing papers by Aruni Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aruni Jha

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

All Works

20 of 20 papers shown
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Barker, Douglas, Xiaobing Han, Eryu Wang, et al.. (2023). Equine Polyclonal Antibodies Prevent Acute Chikungunya Virus Infection in Mice. Viruses. 15(7). 1479–1479. 1 indexed citations
4.
Jha, Aruni, et al.. (2022). Pharmacokinetic and Pharmacodynamic Effects of Polyclonal Antibodies against SARS-CoV2 in Mice. Viruses. 15(1). 123–123. 1 indexed citations
5.
Jha, Aruni, Douglas C. Barker, J. Lew, et al.. (2022). Efficacy of COVID-HIGIV in animal models of SARS-CoV-2 infection. Scientific Reports. 12(1). 16956–16956. 4 indexed citations
6.
Pascoe, Christopher D., Sujata Basu, Mario Fonseca, et al.. (2022). Maternal diabetes promotes offspring lung dysfunction and inflammation in a sex-dependent manner. American Journal of Physiology-Lung Cellular and Molecular Physiology. 322(3). L373–L384. 7 indexed citations
7.
Mahood, Thomas H., Christopher D. Pascoe, Tobias K. Karakach, et al.. (2021). Integrating Proteomes for Lung Tissues and Lavage Reveals Pathways That Link Responses in Allergen-Challenged Mice. ACS Omega. 6(2). 1171–1189. 6 indexed citations
8.
Pascoe, Christopher D., Aruni Jha, Min Hyung Ryu, et al.. (2020). Allergen inhalation generates pro-inflammatory oxidised phosphatidylcholine associated with airway dysfunction. European Respiratory Journal. 57(2). 2000839–2000839. 17 indexed citations
9.
Pascoe, Christopher D., Aruni Jha, Sujata Basu, et al.. (2020). The importance of reporting house dust mite endotoxin abundance: impact on the lung transcriptome. American Journal of Physiology-Lung Cellular and Molecular Physiology. 318(6). L1229–L1236. 24 indexed citations
10.
Agarwal, Prasoon, Navdeep Brar, Stephanie M. Kereliuk, et al.. (2019). Gestational Diabetes Adversely Affects Pancreatic Islet Architecture and Function in the Male Rat Offspring. Endocrinology. 160(8). 1907–1925. 22 indexed citations
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Jha, Aruni, Min Hyung Ryu, Jules C. Carlson, et al.. (2018). Prophylactic benefits of systemically delivered simvastatin treatment in a house dust mite challenged murine model of allergic asthma. British Journal of Pharmacology. 175(7). 1004–1016. 14 indexed citations
13.
Anaparti, Vidyanand, Christopher D. Pascoe, Aruni Jha, et al.. (2016). Tumor necrosis factor regulates NMDA receptor-mediated airway smooth muscle contractile function and airway responsiveness. American Journal of Physiology-Lung Cellular and Molecular Physiology. 311(2). L467–L480. 19 indexed citations
14.
Jha, Aruni, Pawan Sharma, Vidyanand Anaparti, Min Hyung Ryu, & Andrew J. Halayko. (2015). A role for transient receptor potential ankyrin 1 cation channel (TRPA1) in airway hyper-responsiveness?. Canadian Journal of Physiology and Pharmacology. 93(3). 171–176. 20 indexed citations
15.
Ojo, Oluwaseun O., Min Hyung Ryu, Aruni Jha, Helmut Unruh, & Andrew J. Halayko. (2015). High-mobility group box 1 promotes extracellular matrix synthesis and wound repair in human bronchial epithelial cells. American Journal of Physiology-Lung Cellular and Molecular Physiology. 309(11). L1354–L1366. 41 indexed citations
16.
Ghavami, Saeid, Pawan Sharma, Behzad Yeganeh, et al.. (2014). Airway mesenchymal cell death by mevalonate cascade inhibition: Integration of autophagy, unfolded protein response and apoptosis focusing on Bcl2 family proteins. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1843(7). 1259–1271. 61 indexed citations
17.
Baker, Katie, Sara J. Bonvini, Chantal Donovan, et al.. (2014). Novel drug targets for asthma and COPD: Lessons learned from in vitro and in vivo models. Pulmonary Pharmacology & Therapeutics. 29(2). 181–198. 20 indexed citations
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Ryu, Min Hyung, Aruni Jha, Oluwaseun O. Ojo, et al.. (2014). Chronic exposure to perfluorinated compounds: Impact on airway hyperresponsiveness and inflammation. American Journal of Physiology-Lung Cellular and Molecular Physiology. 307(10). L765–L774. 57 indexed citations
20.
Wright, David B., Pawan Sharma, Min Hyung Ryu, et al.. (2012). Models to study airway smooth muscle contraction in vivo, ex vivo and in vitro: Implications in understanding asthma. Pulmonary Pharmacology & Therapeutics. 26(1). 24–36. 40 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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