Deepa Joshi

918 total citations
23 papers, 437 citations indexed

About

Deepa Joshi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience. According to data from OpenAlex, Deepa Joshi has authored 23 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Deepa Joshi's work include Hypothalamic control of reproductive hormones (4 papers), Neuropeptides and Animal Physiology (4 papers) and Regulation of Appetite and Obesity (3 papers). Deepa Joshi is often cited by papers focused on Hypothalamic control of reproductive hormones (4 papers), Neuropeptides and Animal Physiology (4 papers) and Regulation of Appetite and Obesity (3 papers). Deepa Joshi collaborates with scholars based in Canada, United States and India. Deepa Joshi's co-authors include M.M. Miller, Reinhart B. Billiar, James F. Nelson, Kim Schuske, Chaitanya Dutt, Nikolaus S. Trede, Terrance P. Snutch, Erik M. Jørgensen, Maëlle Jospin and Sean D. Young and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PEDIATRICS.

In The Last Decade

Deepa Joshi

23 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepa Joshi Canada 12 161 90 77 76 59 23 437
Gregor K. Fyfe United Kingdom 14 605 3.8× 78 0.9× 66 0.9× 34 0.4× 57 1.0× 19 773
Gabriela A. Ferreyra United States 15 195 1.2× 165 1.8× 35 0.5× 31 0.4× 283 4.8× 25 668
Maria Cristina Picinato Medeiros de Araújo Brazil 10 139 0.9× 84 0.9× 32 0.4× 54 0.7× 147 2.5× 15 424
Irene D. Gist United States 13 236 1.5× 57 0.6× 33 0.4× 52 0.7× 18 0.3× 24 463
Zixuan He China 13 277 1.7× 76 0.8× 36 0.5× 100 1.3× 11 0.2× 43 510
Åsa Larefalk Sweden 7 150 0.9× 143 1.6× 74 1.0× 14 0.2× 184 3.1× 10 572
Vishwa Mohan United States 13 175 1.1× 134 1.5× 178 2.3× 59 0.8× 42 0.7× 24 615
Chun Shi Lin United States 8 825 5.1× 81 0.9× 59 0.8× 54 0.7× 23 0.4× 8 1.1k
Naı̈ma Ismaı̈li United States 9 335 2.1× 60 0.7× 122 1.6× 21 0.3× 38 0.6× 13 758
Kelly H. Oh United States 9 413 2.6× 80 0.9× 14 0.2× 48 0.6× 56 0.9× 12 614

Countries citing papers authored by Deepa Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepa Joshi

This figure shows the co-authorship network connecting the top 25 collaborators of Deepa Joshi. A scholar is included among the top collaborators of Deepa Joshi 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 Deepa Joshi. Deepa Joshi 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
1.
Joshi, Deepa, Shashank Joshi, Viswanathan Mohan, et al.. (2022). TRC150094, a Novel Mitochondrial Modulator, Reduces Cardio-Metabolic Risk as an Add-On Treatment: a Phase-2, 24-Week, Multi-Center, Randomized, Double-Blind, Clinical Trial. SHILAP Revista de lepidopterología. 7 indexed citations
2.
Joshi, Deepa & Lydie A. Lebrun‐Harris. (2022). Child Health Status and Health Care Use in Grandparent- Versus Parent-Led Households. PEDIATRICS. 150(3). 5 indexed citations
3.
4.
Choudhry, Priya, Deepa Joshi, Birgit Funke, & Nikolaus S. Trede. (2010). Alcama mediates Edn1 signaling during zebrafish cartilage morphogenesis. Developmental Biology. 349(2). 483–493. 11 indexed citations
5.
Joshi, Deepa, et al.. (2009). TRC4186, a Novel AGE-breaker, Improves Diabetic Cardiomyopathy and Nephropathy in Ob-ZSF1 Model of Type 2 Diabetes. Journal of Cardiovascular Pharmacology. 54(1). 72–81. 46 indexed citations
6.
7.
Jima, Dereje D., et al.. (2009). Enhanced transcription of complement and coagulation genes in the absence of adaptive immunity. Molecular Immunology. 46(7). 1505–1516. 30 indexed citations
8.
Frazer, J. Kimble, Nathan D. Meeker, Lynnie A. Rudner, et al.. (2009). Heritable T-cell malignancy models established in a zebrafish phenotypic screen. Leukemia. 23(10). 1825–1835. 53 indexed citations
9.
Weinkove, David, Michael J. Bastiani, Tamara Chessa, et al.. (2007). Overexpression of PPK-1, the Caenorhabditis elegans Type I PIP kinase, inhibits growth cone collapse in the developing nervous system and causes axonal degeneration in adults. Developmental Biology. 313(1). 384–397. 31 indexed citations
10.
Jospin, Maëlle, Shigeki Watanabe, Deepa Joshi, et al.. (2007). UNC-80 and the NCA Ion Channels Contribute to Endocytosis Defects in Synaptojanin Mutants. Current Biology. 17(18). 1595–1600. 75 indexed citations
11.
Miller, M.M., H.P.J. Bennett, Reinhart B. Billiar, Keith B.J. Franklin, & Deepa Joshi. (1998). Estrogen, the ovary, and neutotransmitters: factors associated with aging. Experimental Gerontology. 33(7-8). 729–757. 11 indexed citations
12.
Joshi, Deepa, Reinhart B. Billiar, & M.M. Miller. (1995). Luteinizing Hormone Response to N-Methyl-D, L-Aspartic Acid in the Presence of Physiological Estradiol Concentrations: Influence of Age and the Ovary. Experimental Biology and Medicine. 209(3). 237–244. 8 indexed citations
13.
Joshi, Deepa, H.P.J. Bennett, Syril James, Pierre Tousignant, & M.M. Miller. (1995). Hypothalamic processing of β-endrophin in female C57BL/6J mice is altered at middle age. Journal of Endocrinology. 144(3). 405–415. 5 indexed citations
14.
15.
Joshi, Deepa, et al.. (1993). A Rapid Method for Microbial Sample Preparation for the Scanning Electron Microscope. Biotechnic & Histochemistry. 68(3). 166–168. 2 indexed citations
16.
Joshi, Deepa, et al.. (1993). Gonadotropin Hormone-Releasing Hormone Induced Luteinizing Hormone Responses in Young and Old Female C57BL/6J Mice. Experimental Biology and Medicine. 204(2). 191–194. 7 indexed citations
17.
Joshi, Deepa, Reinhart B. Billiar, & M.M. Miller. (1993). Modulation of hypothalamic mu-opioid receptor density by estrogen: A quantitative autoradiographic study of the female. Brain Research Bulletin. 30(5-6). 629–634. 27 indexed citations
18.
Miller, M.M., et al.. (1992). Reversed-phase liquid chromatographic purification and isolation of a radio-iodinated selective probe for mu opioid receptors in the brain. Journal of Neuroscience Methods. 41(2). 93–99. 2 indexed citations
19.
Miller, M.M., Deepa Joshi, Reinhart B. Billiar, & James F. Nelson. (1991). Loss during aging of beta-endorphinergic neurons in the hypothalamus of female C57BL/6J mice. Neurobiology of Aging. 12(3). 239–244. 14 indexed citations
20.
Miller, M.M., Deepa Joshi, Reinhart B. Billiar, & James F. Nelson. (1990). Loss of LH-RH neurons in the rostral forebrain of old female C57BL/6J mice. Neurobiology of Aging. 11(3). 217–221. 33 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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