Vineet Sangar

1.0k total citations
18 papers, 497 citations indexed

About

Vineet Sangar is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Vineet Sangar has authored 18 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Spectroscopy. Recurrent topics in Vineet Sangar's work include Advanced Proteomics Techniques and Applications (4 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Cancer Cells and Metastasis (4 papers). Vineet Sangar is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Cancer Cells and Metastasis (4 papers). Vineet Sangar collaborates with scholars based in United States, Spain and Luxembourg. Vineet Sangar's co-authors include Kenneth H. Yu, Ian A. Blair, Arthur M. Lesk, Naomi Altman, Daniel Blankenberg, Nathan D. Price, Anil K. Rustgi, Emma E. Furth, David Austin and Angela Wehr and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Vineet Sangar

18 papers receiving 488 citations

Peers

Vineet Sangar

MB

ONCOL

SPECT

PS

CR

Claudia Cirulli Italy

Theresa Reno United States

Guadalupe Espadas Spain

Sandra Tan Singapore

Petri Kouvonen Finland

Maud Heuillet France

Pyung Keun Myung South Korea

Alexander M. Gout Australia

Bin Xue China

Claudia Cirulli Italy

Vineet Sangar

496 ×1.7

MB

106 ×1.0

ONCOL

84 ×0.9

SPECT

24 ×0.4

PS

82 ×1.5

CR

Citations per year, relative to Vineet Sangar Vineet Sangar (= 1×) peers Claudia Cirulli

Countries citing papers authored by Vineet Sangar

Since Specialization

Citations

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

Fields of papers citing papers by Vineet Sangar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vineet Sangar

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

All Works

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18 of 18 papers shown

1.

Yu, Kenneth H., Jennifer Park, Ghassan K. Abou‐Alfa, et al.. (2022). Circulating tumor and invasive cell expression profiling predicts effective therapy in pancreatic cancer. Cancer. 128(15). 2958–2966. 7 indexed citations

2.

Baloni, Priyanka, Vineet Sangar, James T. Yurkovich, et al.. (2019). Genome-scale metabolic model of the rat liver predicts effects of diet restriction. Scientific Reports. 9(1). 9807–9807. 9 indexed citations

3.

Tian, Qiang, Vineet Sangar, & Nathan D. Price. (2015). Emerging Proteomic Technologies Provide Enormous and Underutilized Potential for Brain Cancer Research. Molecular & Cellular Proteomics. 15(2). 362–367. 4 indexed citations

4.

Sangar, Vineet, John C. Earls, & Kenneth H. Yu. (2015). Gene-pair classifier in circulating tumor and invasive cells to predict pharmacological response.. Journal of Clinical Oncology. 33(3_suppl). 279–279. 1 indexed citations

5.

Sangar, Vineet, Cory C. Funk, Ulrike Kusebauch, et al.. (2014). Quantitative Proteomic Analysis Reveals Effects of Epidermal Growth Factor Receptor (EGFR) on Invasion-promoting Proteins Secreted by Glioblastoma Cells. Molecular & Cellular Proteomics. 13(10). 2618–2631. 30 indexed citations

6.

Randhawa, Manpreet, et al.. (2014). Metabolic Signature of Sun Exposed Skin Suggests Catabolic Pathway Overweighs Anabolic Pathway. PLoS ONE. 9(3). e90367–e90367. 24 indexed citations

7.

Yu, Kenneth H., Vineet Sangar, Manuel Hidalgo, et al.. (2014). Pharmacogenomic modeling of pancreatic cancer (PDAC) for prediction of chemotherapy response and resistance in second-line treatment setting.. Journal of Clinical Oncology. 32(15_suppl). 4130–4130. 1 indexed citations

8.

Yu, Kenneth H., Vineet Sangar, Manuel Hidalgo, et al.. (2013). Use of pharmacogenomic modeling in pancreatic cancer for prediction of chemotherapy response and resistance.. Journal of Clinical Oncology. 31(15_suppl). 4017–4017. 5 indexed citations

9.

Bai, Jane P. F., Robert J. Fontana, Nathan D. Price, & Vineet Sangar. (2013). Systems pharmacology modeling: an approach to improving drug safety. Biopharmaceutics & Drug Disposition. 35(1). 1–14. 17 indexed citations

10.

Sangar, Vineet, James A. Eddy, Evangelos Simeonidis, & Nathan D. Price. (2012). Mechanistic modeling of aberrant energy metabolism in human disease. Frontiers in Physiology. 3. 404–404. 18 indexed citations

11.

Wehr, Angela, Emma E. Furth, Vineet Sangar, Ian A. Blair, & Kenneth H. Yu. (2011). Analysis of the Human Pancreatic Stellate Cell Secreted Proteome. Pancreas. 40(4). 557–566. 76 indexed citations

12.

Shah, Sumit J., Kenneth H. Yu, Vineet Sangar, Samuel Parry, & Ian A. Blair. (2009). Identification and Quantification of Preterm Birth Biomarkers in Human Cervicovaginal Fluid by Liquid Chromatography/Tandem Mass Spectrometry. Journal of Proteome Research. 8(5). 2407–2417. 54 indexed citations

13.

Rangiah, Kannan, Vineet Sangar, David Austin, et al.. (2009). Differential Secreted Proteome Approach in Murine Model for Candidate Biomarker Discovery in Colon Cancer. Journal of Proteome Research. 8(11). 5153–5164. 37 indexed citations

14.

Yu, Kenneth H., Colin G. Barry, David Austin, et al.. (2009). Stable Isotope Dilution Multidimensional Liquid Chromatography-Tandem Mass Spectrometry for Pancreatic Cancer Serum Biomarker Discovery. Journal of Proteome Research. 8(3). 1565–1576. 71 indexed citations

15.

Shah, Sumit J., Kenneth H. Yu, Vineet Sangar, Samuel Parry, & Ian A. Blair. (2009). Identification and Quantification of Preterm Birth Biomarkers in Human Cervicovaginal Fluid by Liquid Chromatography/Tandem Mass Spectrometry. Journal of Proteome Research. 8(7). 3786–3786. 1 indexed citations

16.

Sangar, Vineet, Daniel Blankenberg, Naomi Altman, & Arthur M. Lesk. (2007). Quantitative sequence-function relationships in proteins based on gene ontology. BMC Bioinformatics. 8(1). 294–294. 68 indexed citations

17.

Boddu, Jayanand, Cizhong Jiang, Vineet Sangar, et al.. (2006). Comparative Structural and Functional Characterization of Sorghum and Maize Duplications Containing Orthologous Myb Transcription Regulators of 3-Deoxyflavonoid Biosynthesis. Plant Molecular Biology. 60(2). 185–199. 36 indexed citations

18.

Chopra, Surinder, et al.. (2003). The Maize Unstable factor for orange1 Is a Dominant Epigenetic Modifier of a Tissue Specifically Silent Allele of pericarp color1. Genetics. 163(3). 1135–1146. 38 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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