Pragna Rao

3.1k total citations
134 papers, 2.2k citations indexed

About

Pragna Rao is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Pragna Rao has authored 134 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 22 papers in Pediatrics, Perinatology and Child Health and 20 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Pragna Rao's work include Pregnancy and preeclampsia studies (13 papers), Birth, Development, and Health (12 papers) and Metabolism and Genetic Disorders (11 papers). Pragna Rao is often cited by papers focused on Pregnancy and preeclampsia studies (13 papers), Birth, Development, and Health (12 papers) and Metabolism and Genetic Disorders (11 papers). Pragna Rao collaborates with scholars based in India, Saudi Arabia and Malaysia. Pragna Rao's co-authors include T. N. Pattabiraman, Qurratulain Hasan, Imran Ali Khan, Parveen Jahan, Pramod Kumar, Sudesh Kumar, Udaya Kumar, P C Buetow, Lester D.�R. Thompson and Ullas Kamath and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and Clinica Chimica Acta.

In The Last Decade

Pragna Rao

128 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pragna Rao India 23 420 360 274 235 186 134 2.2k
Gholamhossein Ranjbar Omrani Iran 26 347 0.8× 330 0.9× 574 2.1× 68 0.3× 195 1.0× 160 2.5k
Luı́s Belo Portugal 31 490 1.2× 429 1.2× 148 0.5× 660 2.8× 508 2.7× 135 3.4k
Manfred W. Baumstark Germany 26 344 0.8× 692 1.9× 705 2.6× 139 0.6× 126 0.7× 85 2.1k
Kuo-Hu Chen Taiwan 23 492 1.2× 148 0.4× 146 0.5× 279 1.2× 197 1.1× 55 1.7k
Aysun Bay Karabulut Türkiye 26 301 0.7× 317 0.9× 90 0.3× 132 0.6× 139 0.7× 125 2.0k
Bjarne Østerud Norway 47 1.0k 2.4× 803 2.2× 246 0.9× 171 0.7× 130 0.7× 198 6.8k
Miriam A. Friedlander United States 19 580 1.4× 311 0.9× 446 1.6× 48 0.2× 127 0.7× 29 3.4k
Ravinder Singh India 15 460 1.1× 154 0.4× 803 2.9× 112 0.5× 79 0.4× 52 2.9k
Sok Kuan Wong Malaysia 25 752 1.8× 202 0.6× 363 1.3× 52 0.2× 46 0.2× 66 2.4k
Hiroaki Yoshida Japan 29 1.2k 2.9× 289 0.8× 429 1.6× 139 0.6× 345 1.9× 115 3.2k

Countries citing papers authored by Pragna Rao

Since Specialization
Citations

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

Fields of papers citing papers by Pragna Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pragna Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Pragna Rao. A scholar is included among the top collaborators of Pragna Rao 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 Pragna Rao. Pragna Rao 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.
2.
Lukose, Jijo, Aseefhali Bankapur, R.V. Lakshmi, et al.. (2022). Micro-Raman spectroscopy study of optically trapped erythrocytes in malaria, dengue and leptospirosis infections. Frontiers in Medicine. 9. 858776–858776. 2 indexed citations
3.
Lewis, Leslie, et al.. (2019). Development and validation of a dried blood spot test for thiamine deficiency among infants by HPLC–fluorimetry. Biomedical Chromatography. 33(11). e4668–e4668. 6 indexed citations
4.
Khan, Imran Ali, Parveen Jahan, Qurratulain Hasan, & Pragna Rao. (2018). Genetic confirmation of T2DM meta-analysis variants studied in gestational diabetes mellitus in an Indian population. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 13(1). 688–694. 99 indexed citations
5.
Kumar, Pramod, et al.. (2018). Epidemiological study of burn patients hospitalised at a burns centre, Manipal. International Wound Journal. 16(1). 79–83. 16 indexed citations
6.
Suchitra, MM, et al.. (2018). Osteopontin, cardiovascular risk factors and carotid intima-media thickness in chronic kidney disease. Indian Journal of Nephrology. 28(5). 358–358. 7 indexed citations
7.
Bagheri, Ali, et al.. (2017). Association of angiogenic cytokines (VEGF-A and VEGF-C) and clinical characteristic in women with unexplained recurrent miscarriage. Bratislavské lekárske listy/Bratislava medical journal. 118(5). 258–264. 22 indexed citations
8.
Hegde, Mangala, et al.. (2015). Serum Levels of L-amino Acid Oxidase in Ovarian Cancer Patients. 3(1). 105–112. 1 indexed citations
9.
Kumar, Pramod, et al.. (2015). A comparative study to evaluate the effect of limited access dressing (LAD) on burn wound healing. International Wound Journal. 13(5). 791–798. 7 indexed citations
10.
Mohan, Alladi, et al.. (2014). Subclinical atherosclerosis in patients with rheumatoid arthritis by utilizing carotid intima-media thickness as a surrogate marker.. PubMed. 140(3). 379–86. 30 indexed citations
11.
Dash, Sambit, et al.. (2014). Pathophysiology and diagnosis of Guillain–Barré syndrome – challenges and needs. International Journal of Neuroscience. 125(4). 235–240. 23 indexed citations
12.
Saha, Tarun Kumar, et al.. (2013). Influence of gene polymorphism on the pharamacokinetics of calcineurin inhibitors: In renal transplant patients from India. Asian Journal of Research in Chemistry. 3(1). 9–15. 4 indexed citations
13.
Rao, Pragna, et al.. (2013). Role of Copper and Vascular Endothelial Growth Factor (VEGF) on Endometrial Angiogenesis. SHILAP Revista de lepidopterología. 5 indexed citations
14.
Varikasuvu, Seshadri Reddy, Aparna R. Bitla, Alok Sachan, et al.. (2012). Evaluation of protein oxidation and its association with lipid peroxidation and thyrotropin levels in overt and subclinical hypothyroidism. Endocrine. 44(1). 152–157. 60 indexed citations
15.
Rao, Pragna, et al.. (2012). Importance of Serum Copper and Vascular Endothelial Growth Factor (VEGF-A) Levels in Postmenopausal Bleeding. Indian Journal of Clinical Biochemistry. 28(2). 147–151. 8 indexed citations
16.
Bitla, Aparna R., et al.. (2011). Evaluation of Plasma Malondialdehyde as a Biomarker in Patients with Carcinoma of stomach. Biomedical Research-tokyo. 22(1). 0. 12 indexed citations
17.
Rao, Pragna, et al.. (2011). Transplacental Transport of Fluoride, Calcium and Magnesium -. National journal of integrated research in medicine. 2(3). 51–55. 3 indexed citations
18.
Venkatasubramanian, Sambasivan, et al.. (2011). Mitochondrial Insertion–Deletion Polymorphism: Role in Disease Pathology. Genetic Testing and Molecular Biomarkers. 15(5). 361–364. 10 indexed citations
19.
Rao, Pragna, et al.. (2010). Role Of Placenta To Combat Fluorosis (In Fetus) In Endemic Fluorosis Area. National journal of integrated research in medicine. 1(4). 16–19. 8 indexed citations
20.
Rao, Pragna & T. N. Pattabiraman. (1989). Reevaluation of the phenol-sulfuric acid reaction for the estimation of hexoses and pentoses. Analytical Biochemistry. 181(1). 18–22. 256 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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