Devika Agarwal

2.6k total citations
27 papers, 1.0k citations indexed

About

Devika Agarwal is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Devika Agarwal has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Devika Agarwal's work include DNA Repair Mechanisms (10 papers), Cancer-related Molecular Pathways (6 papers) and Single-cell and spatial transcriptomics (5 papers). Devika Agarwal is often cited by papers focused on DNA Repair Mechanisms (10 papers), Cancer-related Molecular Pathways (6 papers) and Single-cell and spatial transcriptomics (5 papers). Devika Agarwal collaborates with scholars based in United Kingdom, United States and Germany. Devika Agarwal's co-authors include Graham Ball, Ian O. Ellis, Andrew R. Green, Srinivasan Madhusudan, Emad A. Rakha, Stephen Chan, Paul M. Moseley, Rory Bowden, Caleb Webber and Jimena Monzón‐Sandoval and has published in prestigious journals such as Nature Communications, Current Biology and Scientific Reports.

In The Last Decade

Devika Agarwal

27 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Devika Agarwal United Kingdom	19	687	305	232	154	126	27	1.0k
Chenran Wang United States	18	831 1.2×	237 0.8×	316 1.4×	90 0.6×	72 0.6×	35	1.6k
Bong Gu Kang South Korea	13	564 0.8×	364 1.2×	218 0.9×	49 0.3×	81 0.6×	22	1.1k
Veerakumar Balasubramaniyan United States	19	1.1k 1.6×	312 1.0×	478 2.1×	167 1.1×	58 0.5×	30	1.9k
Yunhong Zha China	19	764 1.1×	153 0.5×	348 1.5×	56 0.4×	195 1.5×	35	1.1k
Luisella Toschi Germany	12	867 1.3×	241 0.8×	242 1.0×	63 0.4×	87 0.7×	25	1.4k
Jason G. Glanzer United States	17	761 1.1×	235 0.8×	120 0.5×	249 1.6×	208 1.7×	22	1.2k
Yao Liang Wong United States	16	1.4k 2.1×	262 0.9×	174 0.8×	93 0.6×	349 2.8×	24	2.1k
Suzana Assad Kahn Brazil	19	701 1.0×	311 1.0×	220 0.9×	337 2.2×	64 0.5×	34	1.7k
Patrick Y Wen United States	9	827 1.2×	256 0.8×	502 2.2×	74 0.5×	103 0.8×	16	1.6k
Tommie Olofsson Sweden	15	440 0.6×	153 0.5×	236 1.0×	67 0.4×	67 0.5×	21	846

Countries citing papers authored by Devika Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Devika Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Devika Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Devika Agarwal. A scholar is included among the top collaborators of Devika 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 Devika Agarwal. Devika 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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20 of 20 papers shown

Pain, Oliver, Ashley Jones, Ahmad Al Khleifat, et al.. (2024). Harnessing transcriptomic signals for amyotrophic lateral sclerosis to identify novel drugs and enhance risk prediction. Heliyon. 10(15). e35342–e35342. 4 indexed citations

Provine, Nicholas M., Adam Al‐Diwani, Devika Agarwal, et al.. (2024). Fine needle aspiration of human lymph nodes reveals cell populations and soluble interactors pivotal to immunological priming. European Journal of Immunology. 54(5). e2350872–e2350872. 5 indexed citations

Monzón‐Sandoval, Jimena, Devika Agarwal, Adam E. Handel, et al.. (2022). Lipopolysaccharide distinctively alters human microglia transcriptomes to resemble microglia from Alzheimer's disease mouse models. Disease Models & Mechanisms. 15(10). 12 indexed citations

Park, Annie, Vincent Croset, Nils Otto, et al.. (2022). Gliotransmission of D-serine promotes thirst-directed behaviors in Drosophila. Current Biology. 32(18). 3952–3970.e8. 20 indexed citations

Nayler, Sam, Devika Agarwal, Fabiola Curion, Rory Bowden, & Esther B. E. Becker. (2021). High-resolution transcriptional landscape of xeno-free human induced pluripotent stem cell-derived cerebellar organoids. Scientific Reports. 11(1). 12959–12959. 42 indexed citations

Shaikh, Samiha S., Alexis Fenyi, Luc Bousset, et al.. (2021). Phenotypic manifestation of α-synuclein strains derived from Parkinson’s disease and multiple system atrophy in human dopaminergic neurons. Nature Communications. 12(1). 3817–3817. 64 indexed citations

Agarwal, Devika, Cynthia Sandor, Viola Volpato, et al.. (2020). A single-cell atlas of the human substantia nigra reveals cell-specific pathways associated with neurological disorders. Nature Communications. 11(1). 4183–4183. 187 indexed citations

Hall‐Roberts, Hazel, Devika Agarwal, Juliane Obst, et al.. (2020). TREM2 Alzheimer’s variant R47H causes similar transcriptional dysregulation to knockout, yet only subtle functional phenotypes in human iPSC-derived macrophages. Alzheimer s Research & Therapy. 12(1). 151–151. 42 indexed citations

Arora, Arvind, Swetha Parvathaneni, Mohammed A. Aleskandarany, et al.. (2016). Clinicopathological and Functional Significance of RECQL1 Helicase in Sporadic Breast Cancers. Molecular Cancer Therapeutics. 16(1). 239–250. 15 indexed citations

10.

Rakha, Emad A., Devika Agarwal, Andrew R. Green, et al.. (2016). Prognostic stratification of oestrogen receptor‐positive HER2‐negative lymph node‐negative class of breast cancer. Histopathology. 70(4). 622–631. 32 indexed citations

11.

Aleskandarany, Mohammed A., Devika Agarwal, Ola H. Negm, et al.. (2016). The prognostic significance of STAT3 in invasive breast cancer: analysis of protein and mRNA expressions in large cohorts. Breast Cancer Research and Treatment. 156(1). 9–20. 25 indexed citations

12.

Abdel-Fatah, Tarek M.A., Devika Agarwal, Dongxu Liu, et al.. (2016). SPAG5 as a prognostic biomarker and chemotherapy sensitivity predictor in breast cancer: a retrospective, integrated genomic, transcriptomic, and protein analysis. The Lancet Oncology. 17(7). 1004–1018. 76 indexed citations

13.

Abdel-Fatah, Tarek M.A., Stéphanie McArdle, Devika Agarwal, et al.. (2015). HAGE in Triple-Negative Breast Cancer Is a Novel Prognostic, Predictive, and Actionable Biomarker: A Transcriptomic and Protein Expression Analysis. Clinical Cancer Research. 22(4). 905–914. 18 indexed citations

14.

Arora, Arvind, Tarek M. Abdel-Fatah, Devika Agarwal, et al.. (2015). Transcriptomic and Protein Expression Analysis Reveals Clinicopathological Significance of Bloom Syndrome Helicase (BLM) in Breast Cancer. Molecular Cancer Therapeutics. 14(4). 1057–1065. 42 indexed citations

15.

Abdel-Fatah, Tarek M., Arvind Arora, Nouf H. Alsubhi, et al.. (2014). Clinicopathological Significance of ATM-Chk2 Expression in Sporadic Breast Cancers: a Comprehensive Analysis in Large Cohorts. Neoplasia. 16(11). 982–991. 36 indexed citations

16.

Abdel-Fatah, Tarek M.A., Fiona K. Middleton, Arvind Arora, et al.. (2014). Untangling the ATR‐CHEK1 network for prognostication, prediction and therapeutic target validation in breast cancer. Molecular Oncology. 9(3). 569–585. 71 indexed citations

17.

Abdel-Fatah, Tarek M.A., Roslin Russell, Devika Agarwal, et al.. (2014). DNA polymerase β deficiency is linked to aggressive breast cancer: A comprehensive analysis of gene copy number, mRNA and protein expression in multiple cohorts. Molecular Oncology. 8(3). 520–532. 30 indexed citations

18.

Albarakati, Nada, Tarek M.A. Abdel-Fatah, Rachel Doherty, et al.. (2014). Targeting BRCA1‐BER deficient breast cancer by ATM or DNA‐PKcs blockade either alone or in combination with cisplatin for personalized therapy. Molecular Oncology. 9(1). 204–217. 65 indexed citations

19.

Abdel-Fatah, Tarek M.A., Arvind Arora, Devika Agarwal, et al.. (2014). Adverse prognostic and predictive significance of low DNA-dependent protein kinase catalytic subunit (DNA-PKcs) expression in early-stage breast cancers. Breast Cancer Research and Treatment. 146(2). 309–320. 11 indexed citations

20.

Abdel-Fatah, Tarek M., Nada Albarakati, Devika Agarwal, et al.. (2013). Single-strand selective monofunctional uracil-DNA glycosylase (SMUG1) deficiency is linked to aggressive breast cancer and predicts response to adjuvant therapy. Breast Cancer Research and Treatment. 142(3). 515–527. 31 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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