Smita Agarwal

657 total citations
12 papers, 534 citations indexed

About

Smita Agarwal is a scholar working on Pharmacology, Surgery and Dermatology. According to data from OpenAlex, Smita Agarwal has authored 12 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pharmacology, 2 papers in Surgery and 2 papers in Dermatology. Recurrent topics in Smita Agarwal's work include Inflammatory mediators and NSAID effects (3 papers), Muscle and Compartmental Disorders (2 papers) and Estrogen and related hormone effects (2 papers). Smita Agarwal is often cited by papers focused on Inflammatory mediators and NSAID effects (3 papers), Muscle and Compartmental Disorders (2 papers) and Estrogen and related hormone effects (2 papers). Smita Agarwal collaborates with scholars based in India, United States and Bangladesh. Smita Agarwal's co-authors include Gorla V. Reddy, Pallu Reddanna, Stacy Weitsman, Richard P. Buyalos, Denis A. Magoffin, Karnati R. Roy, Saeid B. Amini, Satish C. Kalhan, Ravi Kalhan and Mashiur Rahman and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Toxicology and Applied Pharmacology and Toxicological Sciences.

In The Last Decade

Smita Agarwal

12 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Smita Agarwal India 9 127 103 102 82 70 12 534
Aziz Karaoğlu Türkiye 11 71 0.6× 36 0.3× 174 1.7× 28 0.3× 45 0.6× 47 966
Marijana Vučić Lovrenčić Croatia 17 15 0.1× 51 0.5× 142 1.4× 105 1.3× 25 0.4× 62 701
Chun-Sen Hsu Taiwan 17 17 0.1× 331 3.2× 122 1.2× 35 0.4× 32 0.5× 32 711
Hyung‐Seon Baek South Korea 8 23 0.2× 32 0.3× 109 1.1× 27 0.3× 34 0.5× 18 465
Shuxia Guo China 15 11 0.1× 23 0.2× 301 3.0× 110 1.3× 142 2.0× 38 940
Rahul Pathak India 16 11 0.1× 20 0.2× 146 1.4× 38 0.5× 24 0.3× 23 648
Anna Bizoń Poland 14 7 0.1× 82 0.8× 61 0.6× 33 0.4× 30 0.4× 43 497
Michèle Véronique El May Tunisia 14 6 0.0× 51 0.5× 149 1.5× 104 1.3× 53 0.8× 40 648
Jiayin Han China 15 36 0.3× 7 0.1× 188 1.8× 129 1.6× 111 1.6× 49 744
Zein Shaban Ibrahim Egypt 13 10 0.1× 18 0.2× 98 1.0× 31 0.4× 21 0.3× 31 493

Countries citing papers authored by Smita Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Smita Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Smita Agarwal

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

All Works

12 of 12 papers shown
1.
Singh, Jaya, Avshesh Mishra, Ashwin Mallipatna, et al.. (2016). Next-generation sequencing-based method shows increased mutation detection sensitivity in an Indian retinoblastoma cohort.. PubMed. 22. 1036–47. 18 indexed citations
2.
Sheikh, Afzal, Smita Agarwal, Mashiur Rahman, et al.. (2014). Protective effects of Moringa oleifera Lam. leaves against arsenic–induced toxicity in mice. Asian Pacific Journal of Tropical Biomedicine. 4(Suppl 1). S353–S358. 32 indexed citations
3.
4.
Hossain, Ekhtear, Khairul Islam, Md. Rezaul Karim, et al.. (2012). Elevated levels of plasma Big endothelin-1 and its relation to hypertension and skin lesions in individuals exposed to arsenic. Toxicology and Applied Pharmacology. 259(2). 187–194. 25 indexed citations
5.
Roy, Karnati R., et al.. (2009). Celecoxib inhibits MDR1 expression through COX-2-dependent mechanism in human hepatocellular carcinoma (HepG2) cell line. Cancer Chemotherapy and Pharmacology. 65(5). 903–911. 52 indexed citations
6.
7.
Agarwal, Smita, Gorla V. Reddy, & Pallu Reddanna. (2009). Eicosanoids in inflammation and cancer: the role of COX-2. Expert Review of Clinical Immunology. 5(2). 145–165. 69 indexed citations
8.
Agarwal, Smita, et al.. (2004). Breaking the Vicious Cycle of Poverty Through Microcredit. RePEc: Research Papers in Economics. 82–86. 4 indexed citations
9.
Agarwal, Smita, et al.. (2002). An Unusual Case of Cutaneous Pancreatic Fat Necrosis. Journal of Cutaneous Medicine and Surgery. 6(1). 16–18. 5 indexed citations
10.
Agarwal, Smita, et al.. (2002). An Unusual Case of Cutaneous Pancreatic Fat Necrosis. Journal of Cutaneous Medicine and Surgery. 6(1). 16–18. 1 indexed citations
11.
Kalhan, Ravi, et al.. (2001). Altered lipid profile, leptin, insulin, and anthropometry in offspring of South Asian immigrants in the United States. Metabolism. 50(10). 1197–1202. 56 indexed citations
12.
Agarwal, Smita, et al.. (1996). Serum immunoreactive leptin concentrations in women with polycystic ovary syndrome.. The Journal of Clinical Endocrinology & Metabolism. 81(11). 4166–4169. 168 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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