Suruchi Aggarwal

655 total citations
27 papers, 439 citations indexed

About

Suruchi Aggarwal is a scholar working on Molecular Biology, Spectroscopy and Epidemiology. According to data from OpenAlex, Suruchi Aggarwal has authored 27 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Spectroscopy and 7 papers in Epidemiology. Recurrent topics in Suruchi Aggarwal's work include Advanced Proteomics Techniques and Applications (9 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). Suruchi Aggarwal is often cited by papers focused on Advanced Proteomics Techniques and Applications (9 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). Suruchi Aggarwal collaborates with scholars based in India, United States and Czechia. Suruchi Aggarwal's co-authors include Amit Kumar Yadav, Pamela K. McAllister, Barbara Hatch Rosenberg, Richard W. Wagner, Narayan Chandra Talukdar, S. Banerjee, Kanika Singh, Sameena Khan, Bhabatosh Das and Ramu Adela and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Suruchi Aggarwal

25 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suruchi Aggarwal India 14 274 98 69 50 47 27 439
Mariel Coradin United States 14 543 2.0× 140 1.4× 62 0.9× 26 0.5× 54 1.1× 20 654
Elisabeth M. Storck United Kingdom 10 301 1.1× 47 0.5× 48 0.7× 66 1.3× 31 0.7× 12 466
Akiko Okayama Japan 13 228 0.8× 50 0.5× 90 1.3× 53 1.1× 28 0.6× 30 423
Hendrik Weisser United Kingdom 11 385 1.4× 205 2.1× 36 0.5× 32 0.6× 59 1.3× 18 562
Richard K. Niles United States 11 189 0.7× 110 1.1× 33 0.5× 48 1.0× 14 0.3× 13 388
Paul Kearney United States 13 176 0.6× 109 1.1× 79 1.1× 47 0.9× 30 0.6× 25 578
Lynn A. Beer United States 13 259 0.9× 137 1.4× 45 0.7× 19 0.4× 41 0.9× 21 442
Pey Yee Lee Malaysia 11 360 1.3× 193 2.0× 65 0.9× 20 0.4× 49 1.0× 18 542
Frédéric Villard Switzerland 10 269 1.0× 27 0.3× 59 0.9× 38 0.8× 83 1.8× 14 504
Mukul K. Midha United States 10 245 0.9× 119 1.2× 22 0.3× 47 0.9× 21 0.4× 21 352

Countries citing papers authored by Suruchi Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by Suruchi Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suruchi Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Suruchi Aggarwal. A scholar is included among the top collaborators of Suruchi Aggarwal 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 Suruchi Aggarwal. Suruchi Aggarwal 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.
Aggarwal, Suruchi, et al.. (2024). Glucose and glutamine drive hepatitis E virus replication. Archives of Virology. 169(11). 233–233. 2 indexed citations
2.
Aggarwal, Suruchi, et al.. (2023). PgxSAVy: A tool for comprehensive evaluation of variant peptide quality in proteogenomics – catching the (un)usual suspects. Computational and Structural Biotechnology Journal. 23. 711–722.
3.
Aggarwal, Suruchi, et al.. (2023). Proteogenomics 101: a primer on database search strategies. Journal of Proteins and Proteomics. 14(4). 287–301. 2 indexed citations
4.
Sharma, Kiran Bala, Suruchi Aggarwal, Amit Kumar Yadav, Sudhanshu Vrati, & Manjula Kalia. (2022). Studying Autophagy Using a TMT-Based Quantitative Proteomics Approach. Methods in molecular biology. 2445. 183–203. 2 indexed citations
5.
Sharma, Kiran Bala, Suruchi Aggarwal, Arup Banerjee, et al.. (2021). Proteomic landscape of Japanese encephalitis virus-infected fibroblasts. Journal of General Virology. 102(9). 15 indexed citations
6.
Aggarwal, Suruchi, et al.. (2021). Big data, integrative omics and network biology. Advances in protein chemistry and structural biology. 127. 127–160. 33 indexed citations
7.
Goel, Renu, et al.. (2020). Proteome analysis revealed the essential functions of protein phosphatase PP2A in the induction of Th9 cells. Scientific Reports. 10(1). 10992–10992. 7 indexed citations
8.
Aggarwal, Suruchi, Ajay Kumar, Shilpa Jamwal, et al.. (2020). HyperQuant—A Computational Pipeline for Higher Order Multiplexed Quantitative Proteomics. ACS Omega. 5(19). 10857–10867. 6 indexed citations
9.
Aggarwal, Suruchi, S. Banerjee, Narayan Chandra Talukdar, & Amit Kumar Yadav. (2020). Post-translational Modification Crosstalk and Hotspots in Sirtuin Interactors Implicated in Cardiovascular Diseases. Frontiers in Genetics. 11. 356–356. 24 indexed citations
10.
Aggarwal, Suruchi, Narayan Chandra Talukdar, & Amit Kumar Yadav. (2019). Advances in Higher Order Multiplexing Techniques in Proteomics. Journal of Proteome Research. 18(6). 2360–2369. 22 indexed citations
11.
Aggarwal, Suruchi, Saravanan Kumar, Rahul Sharma, et al.. (2019). Comparative analysis of homologous aminopeptidase PepN from pathogenic and non-pathogenic mycobacteria reveals divergent traits. PLoS ONE. 14(4). e0215123–e0215123. 5 indexed citations
12.
Adela, Ramu, Tarini Shankar Ghosh, Suruchi Aggarwal, et al.. (2019). Serum protein signature of coronary artery disease in type 2 diabetes mellitus. Journal of Translational Medicine. 17(1). 17–17. 32 indexed citations
13.
Sharma, Kiran Bala, Manish Sharma, Suruchi Aggarwal, et al.. (2019). Quantitative Proteome Analysis of Atg5 -Deficient Mouse Embryonic Fibroblasts Reveals the Range of the Autophagy-Modulated Basal Cellular Proteome. mSystems. 4(6). 9 indexed citations
14.
Kumar, Ajay, Shilpa Jamwal, Mukul K. Midha, et al.. (2016). Dataset generated using hyperplexing and click chemistry to monitor temporal dynamics of newly synthesized macrophage secretome post infection by mycobacterial strains. Data in Brief. 9. 349–354. 12 indexed citations
15.
Aggarwal, Suruchi, Minu Singh, Ashok Kumar, & Tapas Mukhopadhyay. (2015). SRD5A2 gene expression inhibits cell migration and invasion in prostate cancer cell line via F-actin reorganization. Molecular and Cellular Biochemistry. 408(1-2). 15–23. 15 indexed citations
16.
Aggarwal, Suruchi & Amit Kumar Yadav. (2015). Dissecting the iTRAQ Data Analysis. Methods in molecular biology. 1362. 277–291. 25 indexed citations
17.
Singh, Minu, Suruchi Aggarwal, Ashok Kumar Mohanty, & Tapas Mukhopadhyay. (2015). Isolation, characterization and functional analysis of full length p53 cDNA from Bubalus bubalis. Gene. 568(2). 146–154. 3 indexed citations
18.
Aggarwal, Suruchi & Amit Kumar Yadav. (2015). False Discovery Rate Estimation in Proteomics. Methods in molecular biology. 1362. 119–128. 52 indexed citations
19.
Pal, Krishnendu, Alexandre A. Pletnev, Shamit K. Dutta, et al.. (2014). Inhibition of Endoglin–GIPC Interaction Inhibits Pancreatic Cancer Cell Growth. Molecular Cancer Therapeutics. 13(10). 2264–2275. 17 indexed citations
20.
Yadav, Vinod Kumar, Anita Mann, Suruchi Aggarwal, et al.. (2013). Engineered reversal of drug resistance in cancer cells--metastases suppressor factors as change agents. Nucleic Acids Research. 42(2). 764–773. 15 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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