Smita Kshirsagar

1.2k total citations
17 papers, 968 citations indexed

About

Smita Kshirsagar is a scholar working on Molecular Biology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Smita Kshirsagar has authored 17 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Smita Kshirsagar's work include Pharmacogenetics and Drug Metabolism (4 papers), Drug Transport and Resistance Mechanisms (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). Smita Kshirsagar is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), Drug Transport and Resistance Mechanisms (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). Smita Kshirsagar collaborates with scholars based in United States, Australia and United Kingdom. Smita Kshirsagar's co-authors include Ping‐Yee Law, Kalpna Gupta, Robert P. Hebbel, Liming Chang, Douglas Yee, Robert A. Schwartz, Pankaj Gupta, Wei Li, Sundaram Ramakrishnan and Lizhen Gui and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Experimental Cell Research.

In The Last Decade

Smita Kshirsagar

16 papers receiving 952 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 Kshirsagar United States 11 431 285 227 167 160 17 968
Mitsuhiro Matsuo Japan 13 282 0.7× 143 0.5× 42 0.2× 125 0.7× 272 1.7× 39 764
Yaguo Zheng China 20 335 0.8× 38 0.1× 132 0.6× 115 0.7× 141 0.9× 44 965
Masaharu Hori Japan 16 413 1.0× 146 0.5× 147 0.6× 224 1.3× 338 2.1× 40 1.4k
Jinfeng Zhu China 22 656 1.5× 41 0.1× 84 0.4× 118 0.7× 245 1.5× 83 1.3k
Larry Peterson United States 6 166 0.4× 46 0.2× 278 1.2× 225 1.3× 91 0.6× 6 893
Satoshi Takabuchi Japan 11 189 0.4× 62 0.2× 56 0.2× 32 0.2× 46 0.3× 17 626
Francesca Corti Italy 20 261 0.6× 57 0.2× 112 0.5× 174 1.0× 520 3.3× 65 1.2k
Lijun Ling China 18 180 0.4× 54 0.2× 37 0.2× 111 0.7× 246 1.5× 41 860
Weiwei Gao China 19 791 1.8× 19 0.1× 80 0.4× 113 0.7× 57 0.4× 38 1.4k
Bénédicte Foveau Canada 18 850 2.0× 39 0.1× 144 0.6× 73 0.4× 164 1.0× 25 1.3k

Countries citing papers authored by Smita Kshirsagar

Since Specialization
Citations

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

Fields of papers citing papers by Smita Kshirsagar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Smita Kshirsagar

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

All Works

17 of 17 papers shown
2.
Kshirsagar, Smita, Ya‐Chi Chen, Jiajie Yu, et al.. (2024). Mass Balance, Metabolic Pathways, Absolute Bioavailability, and Pharmacokinetics of Giredestrant in Healthy Subjects. Drug Metabolism and Disposition. 52(8). 847–857. 2 indexed citations
3.
Jones, Nicholas S., Smita Kshirsagar, Vishnu Mohanan, et al.. (2023). A phase I, randomized, ascending‐dose study to assess safety, pharmacokinetics, and activity of GDC‐8264, a RIP1 inhibitor, in healthy volunteers. Clinical and Translational Science. 16(10). 1997–2009. 12 indexed citations
4.
Takahashi, Ryan, Vikram Malhi, Bianca M. Liederer, et al.. (2023). The Absolute Bioavailability and Absorption, Metabolism, and Excretion of Ipatasertib, a Potent and Highly Selective Protein Kinase B (Akt) Inhibitor. Drug Metabolism and Disposition. 51(10). 1332–1341. 4 indexed citations
5.
Felip, Enriqueta, Mauricio Burotto, Zanete Zvirbule, et al.. (2021). Results of a Dose‐Finding Phase 1b Study of Subcutaneous Atezolizumab in Patients With Locally Advanced or Metastatic Non–Small Cell Lung Cancer. Clinical Pharmacology in Drug Development. 10(10). 1142–1155. 15 indexed citations
6.
Jhaveri, Komal, Valentina Boni, Joohyuk Sohn, et al.. (2021). Safety and activity of single-agent giredestrant (GDC-9545) from a phase Ia/b study in patients (pts) with estrogen receptor-positive (ER+), HER2-negative locally advanced/metastatic breast cancer (LA/mBC).. Journal of Clinical Oncology. 39(15_suppl). 1017–1017. 28 indexed citations
9.
Kastrissios, Helen, Joseph R. Walker, Timothy J. Carrothers, et al.. (2011). Population Pharmacokinetic Model for a Novel Oral Hypoglycemic Formed In Vivo: Comparing the Use of Active Metabolite Data Alone Versus Using Data of Upstream and Downstream Metabolites. The Journal of Clinical Pharmacology. 52(3). 404–415. 3 indexed citations
10.
Mao, Zhongping Lily, et al.. (2011). Population pharmacokinetic–pharmacodynamic analysis of vernakalant hydrochloride injection (RSD1235) in atrial fibrillation or atrial flutter. Journal of Pharmacokinetics and Pharmacodynamics. 38(5). 541–562. 9 indexed citations
11.
O’Brien, Maureen M., Norman J. Lacayo, Bert L. Lum, et al.. (2010). Phase I study of valspodar (PSC‐833) with mitoxantrone and etoposide in refractory and relapsed pediatric acute leukemia: A report from the Children's Oncology Group. Pediatric Blood & Cancer. 54(5). 694–702. 26 indexed citations
12.
Rohatagi, Shashank, et al.. (2008). Evaluation of Population Pharmacokinetics and Exposure‐Response Relationship With Coadministration of Amlodipine Besylate and Olmesartan Medoxomil. The Journal of Clinical Pharmacology. 48(7). 823–836. 20 indexed citations
13.
Kshirsagar, Smita, Robert W. Gear, Jon D. Levine, & Davide Verotta. (2007). A mechanistic model for the sex-specific response to nalbuphine and naloxone in postoperative pain. Journal of Pharmacokinetics and Pharmacodynamics. 35(1). 69–83. 12 indexed citations
14.
Kshirsagar, Smita, et al.. (2006). Improving Data Reliability Using a Non-Compliance Detection Method versus Using Pharmacokinetic Criteria. Journal of Pharmacokinetics and Pharmacodynamics. 34(1). 35–55. 5 indexed citations
15.
Argikar, Upendra A., James C. Cloyd, Angela K. Birnbaum, et al.. (2006). Paradoxical urinary phenytoin metabolite (S)/(R) ratios in CYP2C19*1/*2 patients. Epilepsy Research. 71(1). 54–63. 20 indexed citations
16.
Gupta, Kalpna, Smita Kshirsagar, Liming Chang, et al.. (2002). Morphine stimulates angiogenesis by activating proangiogenic and survival-promoting signaling and promotes breast tumor growth.. PubMed. 62(15). 4491–8. 424 indexed citations
17.
Gupta, Kalpna, Smita Kshirsagar, Wei Li, et al.. (1999). VEGF Prevents Apoptosis of Human Microvascular Endothelial Cells via Opposing Effects on MAPK/ERK and SAPK/JNK Signaling. Experimental Cell Research. 247(2). 495–504. 340 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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