Vidya Venkatraman

2.5k total citations
37 papers, 1.1k citations indexed

About

Vidya Venkatraman is a scholar working on Molecular Biology, Spectroscopy and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Vidya Venkatraman has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Spectroscopy and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Vidya Venkatraman's work include Advanced Proteomics Techniques and Applications (12 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Mass Spectrometry Techniques and Applications (6 papers). Vidya Venkatraman is often cited by papers focused on Advanced Proteomics Techniques and Applications (12 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Mass Spectrometry Techniques and Applications (6 papers). Vidya Venkatraman collaborates with scholars based in United States, Spain and Poland. Vidya Venkatraman's co-authors include Jennifer E. Van Eyk, Heaseung Sophia Chung, Christopher I. Murray, Ronald J. Holewinski, Sarah J. Parker, Richard D. Semba, Jan J. Enghild, Thomas F. Dyrlund, Justyna Fert‐Bober and Erin L. Crowgey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation Research and Developmental Cell.

In The Last Decade

Vidya Venkatraman

37 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vidya Venkatraman United States 20 670 228 153 137 111 37 1.1k
Julia M. Burkhart Germany 17 1.0k 1.5× 390 1.7× 225 1.5× 182 1.3× 152 1.4× 20 1.8k
Maggie P. Y. Lam United States 23 975 1.5× 366 1.6× 195 1.3× 122 0.9× 56 0.5× 52 1.4k
Ronald J. Holewinski United States 22 833 1.2× 108 0.5× 437 2.9× 164 1.2× 117 1.1× 41 1.3k
David A. Liem United States 22 1.2k 1.8× 263 1.2× 254 1.7× 181 1.3× 63 0.6× 37 1.7k
Benbo Gao United States 18 642 1.0× 91 0.4× 92 0.6× 116 0.8× 157 1.4× 33 1.4k
Ding Wang United States 18 727 1.1× 179 0.8× 113 0.7× 217 1.6× 25 0.2× 37 1.0k
Chao-Yuh Yang United States 17 354 0.5× 171 0.8× 75 0.5× 129 0.9× 255 2.3× 29 924
Basetti Madhu United Kingdom 21 685 1.0× 128 0.6× 236 1.5× 153 1.1× 48 0.4× 55 1.4k
Chenggong Zong United States 23 1.3k 1.9× 243 1.1× 120 0.8× 149 1.1× 61 0.5× 37 1.6k
Cristina Al‐Khalili Szigyarto Sweden 19 1.4k 2.1× 181 0.8× 65 0.4× 97 0.7× 116 1.0× 31 1.8k

Countries citing papers authored by Vidya Venkatraman

Since Specialization
Citations

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

Fields of papers citing papers by Vidya Venkatraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vidya Venkatraman

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

All Works

20 of 20 papers shown
1.
Robinson, Aaron, Aleksandra Binek, Komal Ramani, et al.. (2023). Hyperphosphorylation of hepatic proteome characterizes nonalcoholic fatty liver disease in S-adenosylmethionine deficiency. iScience. 26(2). 105987–105987. 6 indexed citations
2.
Sundararaman, Niveda, Archana Bhat, Vidya Venkatraman, et al.. (2023). BIRCH: An Automated Workflow for Evaluation, Correction, and Visualization of Batch Effect in Bottom-Up Mass Spectrometry-Based Proteomics Data. Journal of Proteome Research. 22(2). 471–481. 10 indexed citations
3.
LaCroix, Andrew S., et al.. (2023). Identifying constitutive and context-specific molecular-tension-sensitive protein recruitment within focal adhesions. Developmental Cell. 58(6). 522–534.e7. 8 indexed citations
4.
Stachowicz, Aneta, Rakhi Pandey, Niveda Sundararaman, et al.. (2022). Protein arginine deiminase 2 (PAD2) modulates the polarization of THP-1 macrophages to the anti-inflammatory M2 phenotype. Journal of Inflammation. 19(1). 20–20. 13 indexed citations
5.
Binek, Aleksandra, Annie Moradian, James Go, et al.. (2021). Standardized Workflow for Precise Mid- and High-Throughput Proteomics of Blood Biofluids. Clinical Chemistry. 68(3). 450–460. 37 indexed citations
6.
Ho, Allen S., Aaron Robinson, Wonwoo Shon, et al.. (2021). Comparative Proteomic Analysis of HPV(+) Oropharyngeal Squamous Cell Carcinoma Recurrence. Journal of Proteome Research. 21(1). 200–208. 3 indexed citations
7.
Soetkamp, Daniel, Romain Gallet, Sarah J. Parker, et al.. (2021). Myofilament Phosphorylation in Stem Cell Treated Diastolic Heart Failure. Circulation Research. 129(12). 1125–1140. 25 indexed citations
8.
Stachowicz, Aneta, Niveda Sundararaman, Vidya Venkatraman, Jennifer E. Van Eyk, & Justyna Fert‐Bober. (2021). pH/Acetonitrile-Gradient Reversed-Phase Fractionation of Enriched Hyper-Citrullinated Library in Combination with LC–MS/MS Analysis for Confident Identification of Citrullinated Peptides. Methods in molecular biology. 2420. 107–126. 4 indexed citations
9.
Zhang, Shenyan, Koen Raedschelders, Vidya Venkatraman, et al.. (2020). A Dual Workflow to Improve the Proteomic Coverage in Plasma Using Data-Independent Acquisition-MS. Journal of Proteome Research. 19(7). 2828–2837. 8 indexed citations
10.
Parker, Sarah J., Lulu Chen, Weston Spivia, et al.. (2020). Identification of Putative Early Atherosclerosis Biomarkers by Unsupervised Deconvolution of Heterogeneous Vascular Proteomes. Journal of Proteome Research. 19(7). 2794–2806. 13 indexed citations
11.
Sundararaman, Niveda, James Go, Aaron Robinson, et al.. (2020). PINE: An Automation Tool to Extract and Visualize Protein-Centric Functional Networks. Journal of the American Society for Mass Spectrometry. 31(7). 1410–1421. 24 indexed citations
12.
Robinson, Aaron, Aleksandra Binek, Vidya Venkatraman, et al.. (2020). Lysine and Arginine Protein Post-translational Modifications by Enhanced DIA Libraries: Quantification in Murine Liver Disease. Journal of Proteome Research. 19(10). 4163–4178. 14 indexed citations
13.
Ruíz‐Romero, Cristina, Maggie P. Y. Lam, Peter Nilsson, et al.. (2019). Mining the Proteome Associated with Rheumatic and Autoimmune Diseases. Journal of Proteome Research. 18(12). 4231–4239. 10 indexed citations
14.
Fert‐Bober, Justyna, Vidya Venkatraman, Christie L. Hunter, et al.. (2019). Mapping Citrullinated Sites in Multiple Organs of Mice Using Hypercitrullinated Library. Journal of Proteome Research. 18(5). 2270–2278. 30 indexed citations
15.
Parker, Sarah J., Aleksandr Stotland, Elena Gallo MacFarlane, et al.. (2018). Proteomics reveals Rictor as a noncanonical TGF-β signaling target during aneurysm progression in Marfan mice. American Journal of Physiology-Heart and Circulatory Physiology. 315(5). H1112–H1126. 22 indexed citations
16.
Crowgey, Erin L., Andrea Matlock, Vidya Venkatraman, Justyna Fert‐Bober, & Jennifer E. Van Eyk. (2017). Mapping Biological Networks from Quantitative Data-Independent Acquisition Mass Spectrometry: Data to Knowledge Pipelines. Methods in molecular biology. 1558. 395–413. 9 indexed citations
17.
Broek, Irene van den, Qin Fu, Michael Kowalski, et al.. (2017). Application of volumetric absorptive microsampling for robust, high-throughput mass spectrometric quantification of circulating protein biomarkers. PubMed. 4-5. 25–33. 46 indexed citations
18.
Chung, Heaseung Sophia, Christopher I. Murray, Vidya Venkatraman, et al.. (2015). Dual Labeling Biotin Switch Assay to Reduce Bias Derived From Different Cysteine Subpopulations. Circulation Research. 117(10). 846–857. 26 indexed citations
19.
Kaushik, Gaurav, Adriana S. Trujillo, Alexander Fuhrmann, et al.. (2015). Vinculin network–mediated cytoskeletal remodeling regulates contractile function in the aging heart. Science Translational Medicine. 7(292). 292ra99–292ra99. 76 indexed citations
20.
Semba, Richard D., Jan J. Enghild, Vidya Venkatraman, Thomas F. Dyrlund, & Jennifer E. Van Eyk. (2013). The Human Eye Proteome Project: Perspectives on an emerging proteome. PROTEOMICS. 13(16). 2500–2511. 69 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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