Sanjay Agravat

686 total citations
10 papers, 230 citations indexed

About

Sanjay Agravat is a scholar working on Molecular Biology, Organic Chemistry and Health Information Management. According to data from OpenAlex, Sanjay Agravat has authored 10 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Health Information Management. Recurrent topics in Sanjay Agravat's work include Glycosylation and Glycoproteins Research (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Electronic Health Records Systems (3 papers). Sanjay Agravat is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Electronic Health Records Systems (3 papers). Sanjay Agravat collaborates with scholars based in United States, Australia and Germany. Sanjay Agravat's co-authors include David F. Smith, Richard D. Cummings, Joel Saltz, Xuezheng Song, Carsten Kettner, Ryan McBride, René Ranzinger, Joel H. Saltz, Masaki Kato and Weston B. Struwe and has published in prestigious journals such as Bioinformatics, Molecular & Cellular Proteomics and Journal of Neuroscience Methods.

In The Last Decade

Sanjay Agravat

10 papers receiving 224 citations

Peers

Sanjay Agravat

MB

OC

IMMUN

SPECT

CB

Davide Alocci Switzerland

Prashant K. Khade United States

Yukie Akune Japan

Daisuke Shinmachi Japan

Sakshi Gautam United States

John Hintze Denmark

Prashanth Athri India

Zeynep Sumer‐Bayraktar Australia

Harry C. Tjondro Australia

Ting-Lan Chiu United States

Davide Alocci Switzerland

Sanjay Agravat

327 ×1.9

MB

97 ×1.4

OC

37 ×0.7

IMMUN

74 ×2.4

SPECT

18 ×0.9

CB

Citations per year, relative to Sanjay Agravat Sanjay Agravat (= 1×) peers Davide Alocci

Countries citing papers authored by Sanjay Agravat

Since Specialization

Citations

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

Fields of papers citing papers by Sanjay Agravat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjay Agravat

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Agravat. A scholar is included among the top collaborators of Sanjay Agravat 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 Sanjay Agravat. Sanjay Agravat 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

1.

Agravat, Sanjay, et al.. (2016). Computational approaches to define a human milk metaglycome. Bioinformatics. 32(10). 1471–1478. 11 indexed citations

2.

Agravat, Sanjay, et al.. (2016). Metadata-driven Clinical Data Loading into i2b2 for Clinical and Translational Science Institutes.. PubMed. 2016. 184–93. 9 indexed citations

3.

Agravat, Sanjay, Joel Saltz, Richard D. Cummings, & David F. Smith. (2014). GlycoPattern: a web platform for glycan array mining. Bioinformatics. 30(23). 3417–3418. 37 indexed citations

4.

Kurç, Tahsin, et al.. (2013). Temporal abstraction-based clinical phenotyping with Eureka!. Europe PMC (PubMed Central). 2013. 1160–9. 12 indexed citations

5.

Kurç, Tahsin, et al.. (2013). Clinical Phenotyping with the Analytic Information Warehouse.. AMIA. 1 indexed citations

6.

Kolarich, Daniel, Erdmann Rapp, Weston B. Struwe, et al.. (2013). The Minimum Information Required for a Glycomics Experiment (MIRAGE) Project: Improving the Standards for Reporting Mass-spectrometry-based Glycoanalytic Data. Molecular & Cellular Proteomics. 12(4). 991–995. 88 indexed citations

7.

Agravat, Sanjay, et al.. (2013). Semantic ETL into i2b2 with Eureka!. PubMed. 2013. 203–7. 10 indexed citations

8.

Cholleti, Sharath R., Sanjay Agravat, Joel H. Saltz, et al.. (2012). Automated Motif Discovery from Glycan Array Data. OMICS A Journal of Integrative Biology. 16(10). 497–512. 47 indexed citations

9.

Zhang, Lijun, et al.. (2011). BSMac: A MATLAB toolbox implementing a Bayesian spatial model for brain activation and connectivity. Journal of Neuroscience Methods. 204(1). 133–143. 8 indexed citations

10.

Johnson, Zach, Shoab Ahmad, Sanjay Agravat, et al.. (2011). Immunogenetic Management Software: a new tool for visualization and analysis of complex immunogenetic datasets. Immunogenetics. 64(4). 329–336. 7 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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