Sonika Dahiya

8.9k total citations · 1 hit paper
142 papers, 4.2k citations indexed

About

Sonika Dahiya is a scholar working on Genetics, Neurology and Molecular Biology. According to data from OpenAlex, Sonika Dahiya has authored 142 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Genetics, 39 papers in Neurology and 38 papers in Molecular Biology. Recurrent topics in Sonika Dahiya's work include Glioma Diagnosis and Treatment (63 papers), Neurofibromatosis and Schwannoma Cases (30 papers) and Meningioma and schwannoma management (21 papers). Sonika Dahiya is often cited by papers focused on Glioma Diagnosis and Treatment (63 papers), Neurofibromatosis and Schwannoma Cases (30 papers) and Meningioma and schwannoma management (21 papers). Sonika Dahiya collaborates with scholars based in United States, India and Canada. Sonika Dahiya's co-authors include Dennis C. Sgroi, David H. Gutmann, Xiaojun Ma, Mark G. Erlander, Elizabeth Richardson, Arie Perry, George Ansstas, Erin Carney, Jeffrey R. Leonard and Robert E. Schmidt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Sonika Dahiya

133 papers receiving 4.2k citations

Hit Papers

align trajectories sort by overperformance

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.

Gene expression profiling of the tumor microenvironment during breast cancer progression

2009 488 citations Xiaojun Ma, Sonika Dahiya et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sonika Dahiya United States	33	1.6k	1.2k	961	950	846	142	4.2k
Keishi Makino Japan	27	1.5k 0.9×	1.4k 1.1×	1.0k 1.0×	583 0.6×	608 0.7×	95	4.2k
Sieger Leenstra Netherlands	37	1.9k 1.2×	1.9k 1.6×	1.1k 1.1×	902 0.9×	539 0.6×	112	5.1k
Nils Ole Schmidt Germany	28	1.6k 1.0×	1.1k 0.9×	689 0.7×	489 0.5×	713 0.8×	134	3.7k
Akitake Mukasa Japan	29	2.3k 1.4×	1.9k 1.6×	883 0.9×	1.4k 1.4×	709 0.8×	179	5.2k
Seok‐Gu Kang South Korea	43	1.8k 1.1×	2.7k 2.3×	1.1k 1.1×	1.1k 1.2×	501 0.6×	211	6.2k
Ulrich Schüller Germany	37	2.5k 1.5×	1.5k 1.3×	629 0.7×	661 0.7×	468 0.6×	174	4.5k
Patrick N. Harter Germany	38	1.9k 1.1×	1.5k 1.2×	1.2k 1.2×	971 1.0×	476 0.6×	181	4.8k
Martin Proescholdt Germany	29	1.6k 1.0×	1.4k 1.2×	1.2k 1.2×	836 0.9×	606 0.7×	104	4.1k
Melike Pekmezci United States	28	1.3k 0.8×	1.4k 1.2×	514 0.5×	836 0.9×	556 0.7×	101	4.0k
Bianca Pollo Italy	42	1.9k 1.2×	2.5k 2.1×	1.3k 1.4×	772 0.8×	552 0.7×	167	5.4k

Countries citing papers authored by Sonika Dahiya

Since Specialization

Citations

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

Fields of papers citing papers by Sonika Dahiya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonika Dahiya

This figure shows the co-authorship network connecting the top 25 collaborators of Sonika Dahiya. A scholar is included among the top collaborators of Sonika Dahiya 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 Sonika Dahiya. Sonika Dahiya 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

Ishahak, Matthew, Rowland H. Han, Ryan T. Cleary, et al.. (2025). Genetically Engineered Brain Organoids Recapitulate Spatial and Developmental States of Glioblastoma Progression. Advanced Science. 12(10). e2410110–e2410110. 3 indexed citations

Osorio, Robert C., Emilie Russler‐Germain, Robert E. Schmidt, et al.. (2025). Case report: Molecular characterization of adult atypical teratoid rhabdoid tumor and review of the literature. Frontiers in Oncology. 15. 1510439–1510439.

Anastasaki, Corina, Olivia Cobb, Charles G. Eberhart, et al.. (2025). Aberrant coupling of glutamate and tyrosine kinase receptors enables neuronal control of brain-tumor growth. Neuron. 113(21). 3582–3600.e7.

Sahm, Felix, Kenneth Aldape, Priscilla K. Brastianos, et al.. (2024). cIMPACT-NOW update 8: Clarifications on molecular risk parameters and recommendations for WHO grading of meningiomas. Neuro-Oncology. 27(2). 319–330. 25 indexed citations

Dowling, Joshua L., Patrik Pipkorn, Lauren Yaeger, et al.. (2021). IgG4-Related Disease of the Skull and Skull Base–A Systematic Review and Report of Two Cases. World Neurosurgery. 150. 179–196.e1. 12 indexed citations

Lucas, Calixto‐Hope G., Harish N. Vasudevan, William Chen, et al.. (2020). Histopathologic findings in malignant peripheral nerve sheath tumor predict response to radiotherapy and overall survival. Neuro-Oncology Advances. 2(1). vdaa131–vdaa131. 13 indexed citations

Ye, Zezhong, Richard L. Price, Qingsong Yang, et al.. (2020). Diffusion Histology Imaging Combining Diffusion Basis Spectrum Imaging (DBSI) and Machine Learning Improves Detection and Classification of Glioblastoma Pathology. Clinical Cancer Research. 26(20). 5388–5399. 22 indexed citations

Parsons, Matthew S., et al.. (2019). Image Processing to Improve Detection of Mesial Temporal Sclerosis in Adults. American Journal of Neuroradiology. 40(5). 798–801. 2 indexed citations

Lin, Alexander J., Caressa Hui, Sonika Dahiya, et al.. (2018). Radiologic Response and Disease Control of Recurrent Intracranial Meningiomas Treated With Reirradiation. International Journal of Radiation Oncology*Biology*Physics. 102(1). 194–203. 14 indexed citations

10.

Johanns, Tanner M., Christopher A. Miller, Ian G. Dorward, et al.. (2016). Immunogenomics of Hypermutated Glioblastoma: A Patient with Germline POLE Deficiency Treated with Checkpoint Blockade Immunotherapy. Cancer Discovery. 6(11). 1230–1236. 209 indexed citations

11.

Hirbe, Angela C., Sonika Dahiya, Dinorah Friedmann‐Morvinski, et al.. (2016). Spatially- and temporally-controlled postnatal p53 knockdown cooperates with embryonic Schwann cell precursor Nf1 gene loss to promote malignant peripheral nerve sheath tumor formation. Digital Commons@Becker (Washington University School of Medicine). 4 indexed citations

12.

Hawasli, Ammar H., et al.. (2016). Influence of White and Gray Matter Connections on Endogenous Human Cortical Oscillations. Frontiers in Human Neuroscience. 10. 330–330. 9 indexed citations

13.

Hirbe, Angela C., Sonika Dahiya, Christopher A. Miller, et al.. (2015). Whole Exome Sequencing Reveals the Order of Genetic Changes during Malignant Transformation and Metastasis in a Single Patient with NF1-plexiform Neurofibroma. Clinical Cancer Research. 21(18). 4201–4211. 37 indexed citations

14.

Vlassenko, Andrei G., Jonathan McConathy, Lars E. Couture, et al.. (2015). Aerobic Glycolysis as a Marker of Tumor Aggressiveness: Preliminary Data in High Grade Human Brain Tumors. Disease Markers. 2015. 1–11. 23 indexed citations

15.

Haydon, Devon H., Sonika Dahiya, Matthew D. Smyth, David D. Limbrick, & Jeffrey R. Leonard. (2014). Greater Extent of Resection Improves Ganglioglioma Recurrence-Free Survival in Children. Neurosurgery. 75(1). 37–42. 16 indexed citations

16.

Woerner, B. Mark, Jingqin Luo, Erin Jackson, et al.. (2011). Suppression of G-protein–Coupled Receptor Kinase 3 Expression Is a Feature of Classical GBM That Is Required for Maximal Growth. Molecular Cancer Research. 10(1). 156–166. 33 indexed citations

17.

Dahiya, Sonika, Da Yong Lee, & David H. Gutmann. (2011). Comparative Characterization of the Human and Mouse Third Ventricle Germinal Zones. Journal of Neuropathology & Experimental Neurology. 70(7). 622–633. 30 indexed citations

18.

Ma, Xiaojun, Ranelle Salunga, Sonika Dahiya, et al.. (2008). A Five-Gene Molecular Grade Index and HOXB13:IL17BR Are Complementary Prognostic Factors in Early Stage Breast Cancer. Clinical Cancer Research. 14(9). 2601–2608. 227 indexed citations

19.

Wittner, Ben S., Dennis C. Sgroi, Paula D. Ryan, et al.. (2008). Analysis of the MammaPrint Breast Cancer Assay in a Predominantly Postmenopausal Cohort. Clinical Cancer Research. 14(10). 2988–2993. 115 indexed citations

20.

Smolen, Gromoslaw A., Beth Muir, Gayatry Mohapatra, et al.. (2006). Frequent Met Oncogene Amplification in a Brca1/Trp53 Mouse Model of Mammary Tumorigenesis. Cancer Research. 66(7). 3452–3455. 32 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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