Archana Shubhakar

931 total citations
8 papers, 298 citations indexed

About

Archana Shubhakar is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Archana Shubhakar has authored 8 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Surgery. Recurrent topics in Archana Shubhakar's work include Glycosylation and Glycoproteins Research (7 papers), Protein purification and stability (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Archana Shubhakar is often cited by papers focused on Glycosylation and Glycoproteins Research (7 papers), Protein purification and stability (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Archana Shubhakar collaborates with scholars based in United Kingdom, Netherlands and Sweden. Archana Shubhakar's co-authors include Daryl L. Fernandes, Manfred Wuhrer, Daniel I. R. Spencer, Karli R. Reiding, Richard A. Gardner, Radoslaw P. Kozak, Louise Royle, Govert W. Somsen, Viktoria Dotz and Yoann Rombouts and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and TrAC Trends in Analytical Chemistry.

In The Last Decade

Archana Shubhakar

8 papers receiving 297 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Archana Shubhakar	268	93	87	80	46	8	298
Paula Jane Domann	315 1.2×	128 1.4×	99 1.1×	96 1.2×	18 0.4×	6	344
Myung Jin Oh	312 1.2×	89 1.0×	48 0.6×	71 0.9×	55 1.2×	34	382
Matthias Borowiak	208 0.8×	33 0.4×	70 0.8×	57 0.7×	42 0.9×	4	229
Yu‐ki Matsuno	269 1.0×	55 0.6×	107 1.2×	41 0.5×	34 0.7×	21	311
Courtenay Hart	339 1.3×	60 0.6×	178 2.0×	57 0.7×	77 1.7×	8	397
Doron Kletter	277 1.0×	84 0.9×	63 0.7×	64 0.8×	88 1.9×	12	328
Samanta Cajic	233 0.9×	24 0.3×	67 0.8×	32 0.4×	55 1.2×	16	274
Kwang Hoe Kim	281 1.0×	165 1.8×	49 0.6×	38 0.5×	28 0.6×	23	350
Chuncui Huang	222 0.8×	48 0.5×	40 0.5×	88 1.1×	81 1.8×	24	305
Katarina Madunić	233 0.9×	43 0.5×	78 0.9×	27 0.3×	73 1.6×	17	275

Countries citing papers authored by Archana Shubhakar

Since Specialization

Citations

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

Fields of papers citing papers by Archana Shubhakar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Archana Shubhakar

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

All Works

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8 of 8 papers shown

Shubhakar, Archana, Bas C. Jansen, Alex Adams, et al.. (2023). Serum N-Glycomic Biomarkers Predict Treatment Escalation in Inflammatory Bowel Disease. Journal of Crohn s and Colitis. 17(6). 919–932. 10 indexed citations

Shubhakar, Archana, Bas C. Jansen, Alex Adams, et al.. (2019). DOP10 Serum N-glycomic biomarkers predict treatment escalation in inflammatory bowel disease. Journal of Crohn s and Colitis. 13(Supplement_1). S032–S033. 1 indexed citations

Reiding, Karli R., Albert Bondt, René Hennig, et al.. (2018). High-throughput Serum N-Glycomics: Method Comparison and Application to Study Rheumatoid Arthritis and Pregnancy-associated Changes. Molecular & Cellular Proteomics. 18(1). 3–15. 72 indexed citations

Shubhakar, Archana, et al.. (2018). Towards automation of glycomic profiling of complex biological materials. Glycoconjugate Journal. 35(3). 311–321. 11 indexed citations

Shubhakar, Archana, Radoslaw P. Kozak, Karli R. Reiding, et al.. (2016). Automated High-Throughput Permethylation for Glycosylation Analysis of Biologics Using MALDI-TOF-MS. Analytical Chemistry. 88(17). 8562–8569. 69 indexed citations

Ventham, Nicholas T., Richard A. Gardner, Nicholas A. Kennedy, et al.. (2015). Correction: Changes to Serum Sample Tube and Processing Methodology Does Not Cause Inter-Individual Variation in Automated Whole Serum N-Glycan Profiling in Health and Disease. PLoS ONE. 10(6). e0129335–e0129335. 3 indexed citations

Dotz, Viktoria, Rob Haselberg, Archana Shubhakar, et al.. (2015). Mass spectrometry for glycosylation analysis of biopharmaceuticals. TrAC Trends in Analytical Chemistry. 73. 1–9. 62 indexed citations

Shubhakar, Archana, Karli R. Reiding, Richard A. Gardner, et al.. (2014). High-Throughput Analysis and Automation for Glycomics Studies. Chromatographia. 78(5-6). 321–333. 70 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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