Subhakar Dey

4.9k total citations · 1 hit paper
15 papers, 3.8k citations indexed

About

Subhakar Dey is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Food Science. According to data from OpenAlex, Subhakar Dey has authored 15 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Food Science. Recurrent topics in Subhakar Dey's work include DNA and Nucleic Acid Chemistry (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Hormonal and reproductive studies (4 papers). Subhakar Dey is often cited by papers focused on DNA and Nucleic Acid Chemistry (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Hormonal and reproductive studies (4 papers). Subhakar Dey collaborates with scholars based in United States and United Kingdom. Subhakar Dey's co-authors include Subhasish Purkayastha, Michael Bartlet‐Jones, B. Williamson, Feng He, Scott B. Daniels, Yulin Huang, Stephen A. Martin, Philip L. Ross, Jason Marchese and Kenneth C. Parker and has published in prestigious journals such as Journal of the American Chemical Society, Analytical Chemistry and The Journal of Organic Chemistry.

In The Last Decade

Subhakar Dey

14 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multiplexed Protein Quantitation in Saccharomyces cerevisiae Using Amine-reactive Isobaric Tagging Reagents

2004 3.5k citations Philip L. Ross, Yulin Huang et al. Molecular & Cellular Proteomics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Subhakar Dey United States	9	2.7k	2.1k	245	223	206	15	3.8k
Subhasish Purkayastha United States	7	2.7k 1.0×	2.2k 1.0×	246 1.0×	220 1.0×	227 1.1×	9	3.8k
James Langridge United Kingdom	34	2.9k 1.0×	1.7k 0.8×	214 0.9×	237 1.1×	127 0.6×	100	4.2k
Jason Marchese United States	9	2.7k 1.0×	2.2k 1.0×	258 1.1×	226 1.0×	212 1.0×	12	3.7k
Stephen J. Hattan United States	7	2.6k 1.0×	2.1k 1.0×	240 1.0×	220 1.0×	196 1.0×	9	3.7k
Christie L. Hunter United States	23	2.4k 0.9×	1.6k 0.8×	275 1.1×	161 0.7×	204 1.0×	42	3.6k
Scott B. Daniels United States	14	3.2k 1.2×	2.3k 1.1×	267 1.1×	230 1.0×	288 1.4×	17	4.3k
Michael Bartlet‐Jones United Kingdom	6	2.8k 1.0×	2.2k 1.0×	282 1.2×	284 1.3×	232 1.1×	6	3.8k
Gavain M.A. Sweetman United Kingdom	14	2.3k 0.8×	1.6k 0.8×	220 0.9×	96 0.4×	152 0.7×	19	3.0k
Johannes P.C. Vissers United Kingdom	27	2.4k 0.9×	1.7k 0.8×	294 1.2×	302 1.4×	147 0.7×	63	4.0k

Countries citing papers authored by Subhakar Dey

Since Specialization

Citations

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

Fields of papers citing papers by Subhakar Dey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhakar Dey

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

All Works

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15 of 15 papers shown

Brackeen, Marcus F., Bruce E. Blough, Subhakar Dey, et al.. (2025). Two doses of Qβ virus like particle vaccines elicit protective antibodies against heroin and fentanyl. npj Vaccines. 10(1). 57–57.

Dey, Subhakar, et al.. (2020). A Sensitive and Specific ESI-Positive LC–MS/MS Method for the Quantitation of Estrogens in Human Serum in Under Three Minutes. Journal of Chromatographic Science. 59(3). 280–288. 3 indexed citations

Dey, Subhakar, et al.. (2019). Development of a CDC-certified total testosterone assay for adult and pediatric samples using LC–MS/MS. PubMed. 13. 27–35. 2 indexed citations

Cournoyer, Jason J. & Subhakar Dey. (2019). Increasing clinical liquid chromatography/tandem mass spectrometry assay throughput using a full calibration curve generated by one injection from a single‐tube calibrator. Rapid Communications in Mass Spectrometry. 34(7). e8632–e8632. 6 indexed citations

Hedman, Curtis J., et al.. (2014). Development of a sensitive LC/MS/MS method for vitamin D metabolites: 1,25 Dihydroxyvitamin D2&3 measurement using a novel derivatization agent. Journal of Chromatography B. 953-954. 62–67. 79 indexed citations

Williamson, Brian L., et al.. (2012). LC-ESI-MS/MS Analysis of Testosterone at Sub-Picogram Levels Using a Novel Derivatization Reagent. Analytical Chemistry. 84(21). 9310–9317. 64 indexed citations

Ross, Philip L., Yulin Huang, Jason Marchese, et al.. (2004). Multiplexed Protein Quantitation in Saccharomyces cerevisiae Using Amine-reactive Isobaric Tagging Reagents. Molecular & Cellular Proteomics. 3(12). 1154–1169. 3467 indexed citations breakdown →

Huang, Yumei, Subhakar Dey, Xiao Zhang, Frank D. Sönnichsen, & Philip Garner. (2004). The α-Helical Peptide Nucleic Acid Concept: Merger of Peptide Secondary Structure and Codified Nucleic Acid Recognition. Journal of the American Chemical Society. 126(14). 4626–4640. 34 indexed citations

Huang, Yumei, Subhakar Dey, & Philip Garner. (2003). Trimethylsilyl derivatives of N4-Boc-cytosine and their effect on I2-mediated nucleosidation of O-MTM ethers. Tetrahedron Letters. 44(7). 1441–1444. 2 indexed citations

10.

Garner, Philip, Yumei Huang, & Subhakar Dey. (2001). Enhancement of αPNA Binding Affinity and Specificity through Hydrophobic Interactions. ChemBioChem. 2(3). 224–226. 3 indexed citations

11.

Dey, Subhakar & Terry L. Sheppard. (2001). Ketone-DNA: A Versatile Postsynthetic DNA Decoration Platform. Organic Letters. 3(25). 3983–3986. 33 indexed citations

12.

Dey, Subhakar & Philip Garner. (2000). Synthesis oftert-Butoxycarbonyl (Boc)-Protected Purines. The Journal of Organic Chemistry. 65(22). 7697–7699. 73 indexed citations

13.

Garner, Philip, Subhakar Dey, & Yumei Huang. (2000). α-Helical Peptide Nucleic Acids (αPNAs): A New Paradigm for DNA-Binding Molecules. Journal of the American Chemical Society. 122(10). 2405–2406. 20 indexed citations

14.

Garner, Philip, Subhakar Dey, Yumei Huang, & Xiao Zhang. (1999). Modular Nucleic Acid Surrogates. Solid Phase Synthesis of α-Helical Peptide Nucleic Acids (αPNAs). Organic Letters. 1(3). 403–406. 13 indexed citations

15.

Garner, Philip, et al.. (1998). S-(1-Oxido-2-pyridinyl)-1,1,3,3-tetramethylthiouronium Hexafluorophosphate. A New Reagent for Preparing Hindered Barton Esters. The Journal of Organic Chemistry. 63(17). 5732–5733. 45 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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