Sonya Agarwal

441 total citations
10 papers, 265 citations indexed

About

Sonya Agarwal is a scholar working on Molecular Biology, Nutrition and Dietetics and Neurology. According to data from OpenAlex, Sonya Agarwal has authored 10 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Nutrition and Dietetics and 3 papers in Neurology. Recurrent topics in Sonya Agarwal's work include Prion Diseases and Protein Misfolding (8 papers), Trace Elements in Health (4 papers) and Neurological diseases and metabolism (3 papers). Sonya Agarwal is often cited by papers focused on Prion Diseases and Protein Misfolding (8 papers), Trace Elements in Health (4 papers) and Neurological diseases and metabolism (3 papers). Sonya Agarwal collaborates with scholars based in United Kingdom, United States and France. Sonya Agarwal's co-authors include Andrew C. Gill, Teresa J. T. Pinheiro, Louise Kirby, Shirley Kwok, A. Dimitrios Colevas, Quynh‐Thu Le, Hongbin Cao, Dhanya K. Nambiar, Vangipuram S. Rangan and Zemin Wang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Sonya Agarwal

10 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sonya Agarwal United Kingdom	8	186	98	56	49	48	10	265
Tommaso Virgilio Switzerland	9	139 0.7×	160 1.6×	25 0.4×	20 0.4×	61 1.3×	17	305
Naoko Takahashi‐Makise Japan	6	132 0.7×	32 0.3×	11 0.2×	52 1.1×	42 0.9×	6	272
Stefanie Schaffer Germany	7	161 0.9×	89 0.9×	9 0.2×	56 1.1×	98 2.0×	9	384
Hugo van Genderen Netherlands	6	213 1.1×	135 1.4×	9 0.2×	7 0.1×	20 0.4×	6	322
Gerard Hernández-Mir United States	8	96 0.5×	130 1.3×	35 0.6×	6 0.1×	40 0.8×	13	271
Mikael Hanson Sweden	6	111 0.6×	360 3.7×	14 0.3×	21 0.4×	148 3.1×	6	483
Yanxiang Meng Australia	6	249 1.3×	94 1.0×	6 0.1×	13 0.3×	43 0.9×	8	279
Emil Carlsson United Kingdom	9	166 0.9×	96 1.0×	9 0.2×	7 0.1×	15 0.3×	20	314
José Luis Marín‐Rubio United Kingdom	9	156 0.8×	93 0.9×	17 0.3×	4 0.1×	47 1.0×	17	290

Countries citing papers authored by Sonya Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Sonya Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonya Agarwal

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

All Works

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10 of 10 papers shown

Nambiar, Dhanya K., Todd A. Aguilera, Hongbin Cao, et al.. (2019). Galectin-1–driven T cell exclusion in the tumor endothelium promotes immunotherapy resistance. Journal of Clinical Investigation. 129(12). 5553–5567. 118 indexed citations

Barron, Rona, Declan King, Martin Jeffrey, et al.. (2016). PrP aggregation can be seeded by pre-formed recombinant PrP amyloid fibrils without the replication of infectious prions. Acta Neuropathologica. 132(4). 611–624. 26 indexed citations

Agarwal, Sonya, et al.. (2015). Complex folding and misfolding effects of deer-specific amino acid substitutions in the β2-α2 loop of murine prion protein. Scientific Reports. 5(1). 15528–15528. 4 indexed citations

Tan, Bo, Sonya Agarwal, Byron Caughey, et al.. (2012). Analysis of BSE-infected sheep tissues and plasma using the real-time quaking induced conversion (RT-QuIC) assay. Prion. 6. 2 indexed citations

Kurian, Dominic, Sonya Agarwal, Lawrence Hunt, et al.. (2011). Na+/K+-ATPase Is Present in Scrapie-Associated Fibrils, Modulates PrP Misfolding In Vitro and Links PrP Function and Dysfunction. PLoS ONE. 6(11). e26813–e26813. 14 indexed citations

Sanghera, Narinder, Bruno E. Correia, Joana Simões‐Correia, et al.. (2011). Deciphering the Molecular Details for the Binding of the Prion Protein to Main Ganglioside GM1 of Neuronal Membranes. Chemistry & Biology. 18(11). 1422–1431. 33 indexed citations

Gill, Andrew C., et al.. (2010). Structural requirements for efficient prion protein conversion. Prion. 4(4). 235–243. 14 indexed citations

Agarwal, Sonya, et al.. (2010). Low Density Subcellular Fractions Enhance Disease-specific Prion Protein Misfolding. Journal of Biological Chemistry. 285(13). 9868–9880. 15 indexed citations

Kirby, Louise, et al.. (2010). Inverse Correlation of Thermal Lability and Conversion Efficiency for Five Prion Protein Polymorphic Variants. Biochemistry. 49(7). 1448–1459. 23 indexed citations

10.

Agarwal, Sonya, et al.. (1958). `AMYLOID TUMOUR' OF THE EYELIDS. British Journal of Ophthalmology. 42(7). 433–436. 16 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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