Dhivya Arasappan

2.1k total citations
18 papers, 457 citations indexed

About

Dhivya Arasappan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Plant Science. According to data from OpenAlex, Dhivya Arasappan has authored 18 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Plant Science. Recurrent topics in Dhivya Arasappan's work include Plant Stress Responses and Tolerance (3 papers), Plant responses to water stress (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Dhivya Arasappan is often cited by papers focused on Plant Stress Responses and Tolerance (3 papers), Plant responses to water stress (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Dhivya Arasappan collaborates with scholars based in United States, Saudi Arabia and Egypt. Dhivya Arasappan's co-authors include Scott Hunicke‐Smith, R. Dayne Mayfield, R. Adron Harris, Sean P. Farris, Christopher S. Sullivan, Scot E. Dowd, Rodney P. Kincaid, Robert K. Jansen, Padmaja Mummaneni and Hong Fang and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Dhivya Arasappan

18 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dhivya Arasappan United States 11 220 92 61 58 53 18 457
Е.А. Климов Russia 11 214 1.0× 87 0.9× 34 0.6× 31 0.5× 53 1.0× 69 405
Ninghui Zhao China 12 167 0.8× 120 1.3× 27 0.4× 35 0.6× 35 0.7× 34 451
Ling Ge China 15 241 1.1× 28 0.3× 33 0.5× 32 0.6× 76 1.4× 33 506
Zhaoxia Li China 11 274 1.2× 131 1.4× 28 0.5× 89 1.5× 38 0.7× 14 521
Sara ten Have United Kingdom 17 604 2.7× 176 1.9× 34 0.6× 60 1.0× 91 1.7× 25 856
Shahab Mirshahvaladi Iran 14 234 1.1× 64 0.7× 26 0.4× 23 0.4× 43 0.8× 25 491
Nozomi Tanaka Japan 11 114 0.5× 71 0.8× 33 0.5× 97 1.7× 16 0.3× 49 447
Loreto Carvallo United States 11 240 1.1× 38 0.4× 33 0.5× 40 0.7× 30 0.6× 13 472

Countries citing papers authored by Dhivya Arasappan

Since Specialization
Citations

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

Fields of papers citing papers by Dhivya Arasappan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dhivya Arasappan

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

All Works

18 of 18 papers shown
1.
Arasappan, Dhivya, et al.. (2025). Brain transcriptomic signatures for mood disorders and suicide phenotypes: an anterior insula and subgenual ACC network postmortem study. Brain Behavior & Immunity - Health. 48. 101051–101051. 1 indexed citations
2.
Lyu, Aram, Seo Hee Nam, Zicheng Hu, et al.. (2023). Integrin signaling is critical for myeloid-mediated support of T-cell acute lymphoblastic leukemia. Nature Communications. 14(1). 6270–6270. 6 indexed citations
3.
Bange, Erin M., Timothy J. Brown, Andrea Bilger, et al.. (2023). Are we ready to mitigate time toxicity of cancer care? Oncologists’ perceptions on digital interventions to fast-track cancer care.. Journal of Clinical Oncology. 41(16_suppl). 1537–1537. 1 indexed citations
4.
Ouertani, Rim Nefissi, Dhivya Arasappan, Tracey A. Ruhlman, et al.. (2022). Effects of Salt Stress on Transcriptional and Physiological Responses in Barley Leaves with Contrasting Salt Tolerance. International Journal of Molecular Sciences. 23(9). 5006–5006. 13 indexed citations
5.
Arasappan, Dhivya, Simon B. Eickhoff, Charles B. Nemeroff, Hans A. Hofmann, & Mbemba Jabbi. (2021). Transcription Factor Motifs Associated with Anterior Insula Gene Expression Underlying Mood Disorder Phenotypes. Molecular Neurobiology. 58(5). 1978–1989. 4 indexed citations
6.
Ouertani, Rim Nefissi, Dhivya Arasappan, Ghassen Abid, et al.. (2021). Transcriptomic Analysis of Salt-Stress-Responsive Genes in Barley Roots and Leaves. International Journal of Molecular Sciences. 22(15). 8155–8155. 33 indexed citations
7.
Lyu, Aram, Todd Triplett, Seo Hee Nam, et al.. (2020). Tumor-associated myeloid cells provide critical support for T-ALL. Blood. 136(16). 1837–1850. 17 indexed citations
8.
Jabbi, Mbemba, Dhivya Arasappan, Simon B. Eickhoff, et al.. (2020). Neuro-transcriptomic signatures for mood disorder morbidity and suicide mortality. Journal of Psychiatric Research. 127. 62–74. 23 indexed citations
9.
Leal, J. Sánchez, Xiujuan Peng, Xinquan Liu, et al.. (2020). Peptides as surface coatings of nanoparticles that penetrate human cystic fibrosis sputum and uniformly distribute in vivo following pulmonary delivery. Journal of Controlled Release. 322. 457–469. 46 indexed citations
10.
Liu, Xinquan, Jae Y. Kim, Xiujuan Peng, et al.. (2019). Identification of peptide coatings that enhance diffusive transport of nanoparticles through the tumor microenvironment. Nanoscale. 11(38). 17664–17681. 10 indexed citations
11.
Hajrah, Nahid H., Abdullah Y. Obaid, Ahmed Atef, et al.. (2017). Transcriptomic analysis of salt stress responsive genes in Rhazya stricta. PLoS ONE. 12(5). e0177589–e0177589. 25 indexed citations
12.
Sabir, Jamal S. M., Robert K. Jansen, Dhivya Arasappan, et al.. (2016). The nuclear genome of Rhazya stricta and the evolution of alkaloid diversity in a medically relevant clade of Apocynaceae. Scientific Reports. 6(1). 33782–33782. 24 indexed citations
13.
Sabir, Jamal S. M., Dhivya Arasappan, Ahmed Bahieldin, et al.. (2014). Whole Mitochondrial and Plastid Genome SNP Analysis of Nine Date Palm Cultivars Reveals Plastid Heteroplasmy and Close Phylogenetic Relationships among Cultivars. PLoS ONE. 9(4). e94158–e94158. 38 indexed citations
14.
Farris, Sean P., Dhivya Arasappan, Scott Hunicke‐Smith, R. Adron Harris, & R. Dayne Mayfield. (2014). Transcriptome organization for chronic alcohol abuse in human brain. Molecular Psychiatry. 20(11). 1438–1447. 94 indexed citations
16.
Arasappan, Dhivya, Weida Tong, Padmaja Mummaneni, Hong Fang, & Shashi Amur. (2011). Meta-analysis of microarray data using a pathway-based approach identifies a 37-gene expression signature for systemic lupus erythematosus in human peripheral blood mononuclear cells. BMC Medicine. 9(1). 65–65. 50 indexed citations
17.
Kincaid, Rodney P., et al.. (2010). Small RNA profiling reveals antisense transcription throughout the KSHV genome and novel small RNAs. RNA. 16(8). 1540–1558. 63 indexed citations
18.
Arasappan, Dhivya, Aurélien Mazurie, João M. P. Alves, Danail Bonchev, & Gregory A. Buck. (2008). Path-a-Way: A Strategy for Network Analysis of Microarray Data. 407. 432–436. 1 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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