Suparna Martis

413 total citations
10 papers, 314 citations indexed

About

Suparna Martis is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Suparna Martis has authored 10 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 4 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Genetics. Recurrent topics in Suparna Martis's work include Pharmacogenetics and Drug Metabolism (6 papers), Genomic variations and chromosomal abnormalities (4 papers) and Genomics and Rare Diseases (3 papers). Suparna Martis is often cited by papers focused on Pharmacogenetics and Drug Metabolism (6 papers), Genomic variations and chromosomal abnormalities (4 papers) and Genomics and Rare Diseases (3 papers). Suparna Martis collaborates with scholars based in United States, Netherlands and France. Suparna Martis's co-authors include Robert J. Desnick, Stuart A. Scott, Inga Peter, Ruth Kornreich, Jean‐Sébastien Hulot, Yumi Kasai, Lisa Edelmann, Raymon Vijzelaar, Yao Yang and Hao Mei and has published in prestigious journals such as Hepatology, Journal of Molecular Diagnostics and Pharmacogenomics.

In The Last Decade

Suparna Martis

10 papers receiving 309 citations

Peers

Suparna Martis

PHARM

PPCH

PHYSI

ONCOL

GENET

Ben Burkley United States

Sara E. Mansell Canada

Dhanashri Kolwankar United States

María Talegón Spain

Fang Xia China

Gurusamy Umamaheswaran India

Marie-Paule Gascon Switzerland

Marcos Navares‐Gómez Spain

Ming Ta Michael Lee United States

Bryant M. Whiting United States

Ben Burkley United States

Suparna Martis

144 ×1.1

PHARM

55 ×0.8

PPCH

39 ×0.6

PHYSI

80 ×1.5

ONCOL

54 ×1.1

GENET

Citations per year, relative to Suparna Martis Suparna Martis (= 1×) peers Ben Burkley

Countries citing papers authored by Suparna Martis

Since Specialization

Citations

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

Fields of papers citing papers by Suparna Martis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suparna Martis

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

All Works

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10 of 10 papers shown

Vijzelaar, Raymon, Mariana Rodrigues Botton, Lisette Stolk, et al.. (2018). Multi-ethnic SULT1A1 cOpy Number Profiling with Multiplex Ligation-Dependent Probe Amplification. Pharmacogenomics. 19(9). 761–770. 8 indexed citations

Qiao, Wanqiong, Suparna Martis, Geetu Mendiratta, et al.. (2018). Integrated CYP2D6 Interrogation for Multiethnic Copy Number and Tandem Allele Detection. Pharmacogenomics. 20(1). 9–20. 10 indexed citations

Scott, Stuart A., Qian Tan, Usman Baber, et al.. (2013). An Allele-Specific PCR System for Rapid Detection and Discrimination of the CYP2C19∗4A, ∗4B, and ∗17 Alleles. Journal of Molecular Diagnostics. 15(6). 783–789. 15 indexed citations

Scott, Stuart A., Benny Liu, Irina Nazarenko, et al.. (2013). Frequency of the Cholesteryl Ester Storage Disease Common Lipa E8sjm Mutation (C.894G>A) in Various Racial And Ethnic Groups. Hepatology. 58(3). 958–965. 70 indexed citations

Kadian‐Dodov, Daniella, Stuart A. Scott, Inga Peter, et al.. (2013). Warfarin pharmacogenetics: A controlled dose–response study in healthy subjects. Vascular Medicine. 18(5). 290–297. 5 indexed citations

Martis, Suparna, Inga Peter, Jean‐Sébastien Hulot, et al.. (2012). Multi-ethnic distribution of clinically relevant CYP2C genotypes and haplotypes. The Pharmacogenomics Journal. 13(4). 369–377. 91 indexed citations

Martis, Suparna, Hao Mei, Raymon Vijzelaar, et al.. (2012). Multi-ethnic cytochrome-P450 copy number profiling: novel pharmacogenetic alleles and mechanism of copy number variation formation. The Pharmacogenomics Journal. 13(6). 558–566. 43 indexed citations

Scott, Stuart A., Suparna Martis, Inga Peter, et al.. (2011). Identification of CYP2C19*4B: pharmacogenetic implications for drug metabolism including clopidogrel responsiveness. The Pharmacogenomics Journal. 12(4). 297–305. 37 indexed citations

Scott, Stuart A., Manishkumar Patel, Suparna Martis, et al.. (2011). Copy Number Variation and Warfarin Dosing: Evaluation of CYP2C9 , VKORC1 , CYP4F2 , GGCX and CALU. Pharmacogenomics. 13(3). 297–307. 14 indexed citations

10.

Facchinetti, Fabio, et al.. (1996). EFFECTS OF TRANSDERMAL GLYCERYLTRINITRATE ON 24-H BLOOD PRESSURE CHANGES IN PATIENTS WITH GESTATIONAL HYPERTENSION. IRIS UNIMORE (University of Modena and Reggio Emilia). 2. 22–28. 21 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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