Saurav J. Sarma

677 total citations
16 papers, 397 citations indexed

About

Saurav J. Sarma is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry. According to data from OpenAlex, Saurav J. Sarma has authored 16 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Organic Chemistry. Recurrent topics in Saurav J. Sarma's work include Metabolomics and Mass Spectrometry Studies (3 papers), Phytoestrogen effects and research (3 papers) and Gut microbiota and health (3 papers). Saurav J. Sarma is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (3 papers), Phytoestrogen effects and research (3 papers) and Gut microbiota and health (3 papers). Saurav J. Sarma collaborates with scholars based in United States, Australia and India. Saurav J. Sarma's co-authors include Lloyd W. Sumner, Zhentian Lei, M. Frederick Hawthorne, Lalit N. Goswami, Satish S. Jalisatgi, Zachary H. Houston, Cheryl S. Rosenfeld, Anil Bhatia, Nathan J. Bivens and Paul B. Jones and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Communications and Journal of Agricultural and Food Chemistry.

In The Last Decade

Saurav J. Sarma

16 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saurav J. Sarma United States	11	133	95	58	57	48	16	397
Jiuli Zhang China	19	252 1.9×	227 2.4×	21 0.4×	88 1.5×	52 1.1×	35	937
Amin A. Seleem Egypt	9	151 1.1×	36 0.4×	198 3.4×	70 1.2×	49 1.0×	29	591
Laurent Diez Spain	9	113 0.8×	41 0.4×	23 0.4×	33 0.6×	23 0.5×	19	416
Fabian Leinisch Denmark	14	321 2.4×	21 0.2×	64 1.1×	52 0.9×	15 0.3×	27	599
Bassem M. Raafat Saudi Arabia	11	108 0.8×	19 0.2×	43 0.7×	19 0.3×	25 0.5×	50	373
Peggy J. Webb United States	11	190 1.4×	78 0.8×	18 0.3×	71 1.2×	6 0.1×	21	602
Hirofumi Tsujino Japan	12	161 1.2×	20 0.2×	33 0.6×	46 0.8×	9 0.2×	55	413
Li Lin United States	12	129 1.0×	56 0.6×	55 0.9×	160 2.8×	4 0.1×	34	443
Sandra S. Soares Portugal	13	289 2.2×	93 1.0×	59 1.0×	148 2.6×	16 0.3×	17	809
Sarmistha Halder Sinha United States	14	235 1.8×	136 1.4×	95 1.6×	43 0.8×	6 0.1×	21	572

Countries citing papers authored by Saurav J. Sarma

Since Specialization

Citations

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

Fields of papers citing papers by Saurav J. Sarma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saurav J. Sarma. 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 Saurav J. Sarma. The network helps show where Saurav J. Sarma may publish in the future.

Co-authorship network of co-authors of Saurav J. Sarma

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

All Works

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16 of 16 papers shown

Li, Xingxing, Saurav J. Sarma, Lloyd W. Sumner, A. Daniel Jones, & Robert L. Last. (2022). Switchgrass Metabolomics Reveals Striking Genotypic and Developmental Differences in Specialized Metabolic Phenotypes. Journal of Agricultural and Food Chemistry. 70(26). 8010–8023. 8 indexed citations

Kaur, Sarabjit, Saurav J. Sarma, Yang Liu, et al.. (2020). Developmental exposure of California mice to endocrine disrupting chemicals and potential effects on the microbiome-gut-brain axis at adulthood. Scientific Reports. 10(1). 10902–10902. 28 indexed citations

Mao, Jiude, Ashish Jain, Nancy D. Denslow, et al.. (2020). Bisphenol A and bisphenol S disruptions of the mouse placenta and potential effects on the placenta–brain axis. Proceedings of the National Academy of Sciences. 117(9). 4642–4652. 110 indexed citations

Lei, Zhentian, Santosh Kumar, Saurav J. Sarma, et al.. (2020). Protein Precipitation to Remove Carbohydrates that Interfere in Protein-Bound Tryptophan Quantification in Soybean Seeds. Journal of Analysis and Testing. 4(3). 238–247. 4 indexed citations

Sarma, Saurav J., Zhentian Lei, Cheryl S. Rosenfeld, Aaron C. Ericsson, & Lloyd W. Sumner. (2020). Nontargeted Fecal Metabolomics: An Emerging Tool to Probe the Role of the Gut Microbiome in Host Health. Bioanalysis. 12(6). 351–353. 4 indexed citations

Chakravarty, Shatadru, Saurav J. Sarma, Lalit N. Goswami, et al.. (2019). A multimeric MRI contrast agent based on a closo-borane scaffold bearing modified AAZTA chelates on the periphery. Chemical Communications. 55(82). 12348–12351. 5 indexed citations

Bhatia, Anil, Saurav J. Sarma, Zhentian Lei, & Lloyd W. Sumner. (2019). UHPLC-QTOF-MS/MS-SPE-NMR: A Solution to the Metabolomics Grand Challenge of Higher-Throughput, Confident Metabolite Identifications. Methods in molecular biology. 2037. 113–133. 21 indexed citations

Liu, Yang, Jiude Mao, William G. Helferich, et al.. (2019). Early genistein exposure of California mice and effects on the gut microbiota–brain axis. Journal of Endocrinology. 242(2). 139–157. 22 indexed citations

Vieira‐Potter, Victoria J., Tzu-Wen Cross, Kelly S. Swanson, et al.. (2018). Soy-Induced Fecal Metabolome Changes in Ovariectomized and Intact Female Rats: Relationship with Cardiometabolic Health. Scientific Reports. 8(1). 16896–16896. 20 indexed citations

10.

Lei, Zhentian, et al.. (2018). UHPLC‐MS Analyses of Plant Flavonoids. PubMed. 4(1). e20085–e20085. 36 indexed citations

11.

Sarma, Saurav J., Aslam A. Khan, Lalit N. Goswami, Satish S. Jalisatgi, & M. Frederick Hawthorne. (2016). A Trimodal Closomer Drug‐Delivery System Tailored with Tracing and Targeting Capabilities. Chemistry - A European Journal. 22(36). 12715–12723. 13 indexed citations

12.

Goswami, Lalit N., et al.. (2013). cRGD Peptide-Conjugated Icosahedral closo-B₁₂^2- Core Carrying Multiple Gd³⁺-DOTA Chelates for α_vβ₃ Integrin-Targeted Tumor Imaging (MRI). Inorganic Chemistry. 52(4). 1701–1709. 26 indexed citations

13.

Goswami, Lalit N., Zachary H. Houston, Saurav J. Sarma, Satish S. Jalisatgi, & M. Frederick Hawthorne. (2012). Efficient synthesis of diverse heterobifunctionalized clickable oligo(ethylene glycol) linkers: potential applications in bioconjugation and targeted drug delivery. Organic & Biomolecular Chemistry. 11(7). 1116–1116. 66 indexed citations

14.

Goswami, Lalit N., Zachary H. Houston, Saurav J. Sarma, et al.. (2012). Synthesis of Vertex-Differentiated Icosahedral closo-Boranes: Polyfunctional Scaffolds for Targeted Drug Delivery. The Journal of Organic Chemistry. 77(24). 11333–11338. 9 indexed citations

15.

Sarma, Saurav J. & Paul B. Jones. (2010). Photochemistry of 1,n-Dibenzyloxy-9,10-anthraquinones. The Journal of Organic Chemistry. 75(11). 3806–3813. 14 indexed citations

16.

Jones, Paul B., et al.. (2008). Observation of heavy atom effects in the development of water soluble caged 4-hydroxy-trans-2-nonenal. Organic & Biomolecular Chemistry. 6(22). 4204–4204. 11 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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