Mayank Saraswat

1.9k total citations
59 papers, 1.2k citations indexed

About

Mayank Saraswat is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Mayank Saraswat has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 14 papers in Oncology and 11 papers in Cancer Research. Recurrent topics in Mayank Saraswat's work include Glycosylation and Glycoproteins Research (12 papers), Extracellular vesicles in disease (7 papers) and Advanced Proteomics Techniques and Applications (7 papers). Mayank Saraswat is often cited by papers focused on Glycosylation and Glycoproteins Research (12 papers), Extracellular vesicles in disease (7 papers) and Advanced Proteomics Techniques and Applications (7 papers). Mayank Saraswat collaborates with scholars based in Finland, United States and India. Mayank Saraswat's co-authors include Sakari Joenväärä, Risto Renkonen, Harry Holthöfer, Alessandra Ravidà, Luca Musante, Anil Kumar Tomar, Barry J. Byrne, Savita Yadav, Caj Haglund and Barry Byrne and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Mayank Saraswat

58 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayank Saraswat Finland 18 826 249 154 142 129 59 1.2k
Eva Rodríguez‐Suárez Spain 14 864 1.0× 382 1.5× 148 1.0× 63 0.4× 142 1.1× 23 1.2k
Karen Oliva Australia 18 451 0.5× 144 0.6× 97 0.6× 320 2.3× 230 1.8× 34 1.1k
Xiuhua Yang China 27 814 1.0× 363 1.5× 450 2.9× 158 1.1× 29 0.2× 73 1.8k
Morten Østergaard Denmark 21 986 1.2× 151 0.6× 100 0.6× 137 1.0× 492 3.8× 33 1.7k
Irene Martínez‐Martínez Spain 21 479 0.6× 202 0.8× 108 0.7× 76 0.5× 17 0.1× 60 1.1k
György Horváth Sweden 23 493 0.6× 135 0.5× 126 0.8× 361 2.5× 33 0.3× 49 1.7k
Le Tang China 17 851 1.0× 562 2.3× 302 2.0× 378 2.7× 20 0.2× 93 1.6k
Sherry L. Spinelli United States 25 725 0.9× 94 0.4× 232 1.5× 150 1.1× 43 0.3× 49 1.9k
Licheng Dai China 21 706 0.9× 235 0.9× 136 0.9× 107 0.8× 40 0.3× 56 1.3k
Melissa Tuck United States 10 334 0.4× 124 0.5× 187 1.2× 519 3.7× 90 0.7× 13 1.9k

Countries citing papers authored by Mayank Saraswat

Since Specialization
Citations

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

Fields of papers citing papers by Mayank Saraswat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayank Saraswat

This figure shows the co-authorship network connecting the top 25 collaborators of Mayank Saraswat. A scholar is included among the top collaborators of Mayank Saraswat 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 Mayank Saraswat. Mayank Saraswat 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.
Saraswat, Mayank, et al.. (2022). N‐glycoproteomics reveals distinct glycosylation alterations in NGLY1‐deficient patient‐derived dermal fibroblasts. Journal of Inherited Metabolic Disease. 46(1). 76–91. 12 indexed citations
2.
Xia, Zhi‐Jie, Bobby G. Ng, Mayank Saraswat, et al.. (2022). COG4 mutation in Saul-Wilson syndrome selectively affects secretion of proteins involved in chondrogenesis in chondrocyte-like cells. Frontiers in Cell and Developmental Biology. 10. 979096–979096. 1 indexed citations
3.
Holm, Matilda, Sakari Joenväärä, Mayank Saraswat, et al.. (2022). Quantitative bile and serum proteomics for the screening and differential diagnosis of primary sclerosing cholangitis. PLoS ONE. 17(8). e0272810–e0272810. 7 indexed citations
4.
Saraswat, Mayank, et al.. (2022). Mass spectrometric analysis of chondroitin sulfate-linked peptides. Journal of Proteins and Proteomics. 13(4). 187–203. 4 indexed citations
5.
Vanderboom, Patrick M., Dong‐Gi Mun, Anil K. Madugundu, et al.. (2021). Proteomic Signature of Host Response to SARS-CoV-2 Infection in the Nasopharynx. Molecular & Cellular Proteomics. 20. 100134–100134. 21 indexed citations
6.
Saraswat, Mayank, et al.. (2021). Extensive heterogeneity of glycopeptides in plasma revealed by deep glycoproteomic analysis using size-exclusion chromatography. Molecular Omics. 17(6). 939–947. 18 indexed citations
7.
Nakao, Yasuhiko, Masanori Fukushima, Amy S. Mauer, et al.. (2021). A Comparative Proteomic Analysis of Extracellular Vesicles Associated With Lipotoxicity. Frontiers in Cell and Developmental Biology. 9. 735001–735001. 16 indexed citations
8.
Mun, Dong‐Gi, Santosh Renuse, Mayank Saraswat, et al.. (2020). PASS-DIA: A Data-Independent Acquisition Approach for Discovery Studies. Analytical Chemistry. 92(21). 14466–14475. 19 indexed citations
9.
Saraswat, Mayank, Sakari Joenväärä, Eva Sutinen, et al.. (2020). Label-free plasma proteomics identifies haptoglobin-related protein as candidate marker of idiopathic pulmonary fibrosis and dysregulation of complement and oxidative pathways. Scientific Reports. 10(1). 7787–7787. 13 indexed citations
10.
Saraswat, Mayank, et al.. (2020). Mass spectrometry–based lipidomics of oral squamous cell carcinoma tissue reveals aberrant cholesterol and glycerophospholipid metabolism — A Pilot study. Translational Oncology. 13(10). 100807–100807. 35 indexed citations
11.
Saraswat, Mayank, Stina Syrjänen, Jaana Hagström, et al.. (2020). Comparing serum protein levels can aid in differentiating HPV-negative and -positive oropharyngeal squamous cell carcinoma patients. PLoS ONE. 15(6). e0233974–e0233974. 11 indexed citations
12.
Palviainen, Mari, Mayank Saraswat, Zoltán Varga, et al.. (2020). Extracellular vesicles from human plasma and serum are carriers of extravesicular cargo—Implications for biomarker discovery. PLoS ONE. 15(8). e0236439–e0236439. 185 indexed citations
13.
Arffman, Riikka K., Mayank Saraswat, Sakari Joenväärä, et al.. (2019). Thromboinflammatory changes in plasma proteome of pregnant women with PCOS detected by quantitative label-free proteomics. Scientific Reports. 9(1). 17578–17578. 13 indexed citations
14.
Saraswat, Mayank, et al.. (2018). Label-free tissue proteomics can classify oral squamous cell carcinoma from healthy tissue in a stage-specific manner. Oral Oncology. 86. 206–215. 14 indexed citations
15.
Saraswat, Mayank, et al.. (2018). Patients with early-stage oropharyngeal cancer can be identified with label-free serum proteomics. British Journal of Cancer. 119(2). 200–212. 13 indexed citations
16.
Saraswat, Mayank, et al.. (2015). N-linked (N-) Glycoproteomics of Urinary Exosomes (vol 14, pg 263, 2015). Molecular & Cellular Proteomics. 14(8). 2298–2298. 4 indexed citations
17.
Saraswat, Mayank, et al.. (2014). N-linked (N-) Glycoproteomics of Urimary Exosomes*. Molecular & Cellular Proteomics. 14(2). 263–276. 66 indexed citations
18.
Saraswat, Mayank, et al.. (2013). Preparative Purification of Recombinant Proteins: Current Status and Future Trends. BioMed Research International. 2013. 1–18. 110 indexed citations
19.
Vashist, Sandeep Kumar, et al.. (2012). Development of a Rapid Sandwich Enzyme Linked Immunoassay Procedure for the Highly Sensitive Detection of Human Lipocalin-2/NGAL. Procedia Chemistry. 6. 141–148. 10 indexed citations
20.
Tomar, Anil Kumar, et al.. (2010). Sample complexity reduction aids efficient detection of low‐abundant proteins from human amniotic fluid. Journal of Separation Science. 33(12). 1723–1729. 8 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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