Sonali Nayak

414 total citations
10 papers, 305 citations indexed

About

Sonali Nayak is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Sonali Nayak has authored 10 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Sonali Nayak's work include Cancer Cells and Metastasis (3 papers), Immune cells in cancer (2 papers) and Diabetes Treatment and Management (2 papers). Sonali Nayak is often cited by papers focused on Cancer Cells and Metastasis (3 papers), Immune cells in cancer (2 papers) and Diabetes Treatment and Management (2 papers). Sonali Nayak collaborates with scholars based in United States, India and Sweden. Sonali Nayak's co-authors include David G. Parkes, Carolyn M. Jodka, Andrew Young, Kristin Persson, Ronald L. Gingerich, Etsuko Wada, Keiji Wada, Bo Åhrén, Herbert Levine and Kishore Hari and has published in prestigious journals such as Nature Structural & Molecular Biology, Frontiers in Immunology and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Sonali Nayak

10 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sonali Nayak United States	6	143	130	101	76	46	10	305
Yoko Tsutsumi Japan	9	183 1.3×	223 1.7×	78 0.8×	77 1.0×	39 0.8×	14	365
Wolfgang Glaesner United States	7	205 1.4×	210 1.6×	96 1.0×	34 0.4×	39 0.8×	9	414
Eri Sakamoto Japan	7	182 1.3×	137 1.1×	158 1.6×	63 0.8×	42 0.9×	12	364
Yan-Shi Guo United States	11	124 0.9×	160 1.2×	107 1.1×	94 1.2×	91 2.0×	15	402
Veena A. Thomas United States	8	146 1.0×	163 1.3×	49 0.5×	45 0.6×	32 0.7×	11	358
Naim Panjwani Canada	7	226 1.6×	198 1.5×	150 1.5×	27 0.4×	30 0.7×	10	443
Brooke Ligon United States	7	136 1.0×	141 1.1×	219 2.2×	34 0.4×	60 1.3×	8	351
Ramya S. Kuna United States	9	79 0.6×	253 1.9×	92 0.9×	12 0.2×	60 1.3×	9	362
Masayuki Suda Japan	9	37 0.3×	176 1.4×	113 1.1×	42 0.6×	30 0.7×	10	378
Harini Chakravarthy United States	7	130 0.9×	220 1.7×	219 2.2×	33 0.4×	12 0.3×	7	453

Countries citing papers authored by Sonali Nayak

Since Specialization

Citations

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

Fields of papers citing papers by Sonali Nayak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonali Nayak

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

Morgunova, Ekaterina, Gábor Nagy, Yimeng Yin, et al.. (2025). Interfacial water confers transcription factors with dinucleotide specificity. Nature Structural & Molecular Biology. 32(4). 650–661. 6 indexed citations

Nayak, Sonali, et al.. (2024). Mutually exclusive teams-like patterns of gene regulation characterize phenotypic heterogeneity along the noradrenergic-mesenchymal axis in neuroblastoma. Cancer Biology & Therapy. 25(1). 2301802–2301802. 2 indexed citations

Wadhwani, Nitin R., Sonali Nayak, Yu‐Fen Wang, et al.. (2023). WDR82-Mediated H3K4me3 Is Associated with Tumor Proliferation and Therapeutic Efficacy in Pediatric High-Grade Gliomas. Cancers. 15(13). 3429–3429. 2 indexed citations

Nayak, Sonali, Biman Bagchi, & Susmita Roy. (2022). Effects of immunosuppressants on T-cell dynamics: Understanding from a generic coarse-grained immune network model. Journal of Biosciences. 47(4). 3 indexed citations

Sahoo, Sarthak, Sonali Nayak, Kishore Hari, et al.. (2021). Immunosuppressive Traits of the Hybrid Epithelial/Mesenchymal Phenotype. Frontiers in Immunology. 12. 797261–797261. 55 indexed citations

Nayak, Sonali & Susmita Roy. (2021). Immune phase transition under steroid treatment. Physical review. E. 103(6). 62401–62401. 2 indexed citations

Nayak, Sonali, Yongyong Yang, Mark McClendon, et al.. (2020). Bone Morphogenetic Protein 4 Targeting Glioma Stem-Like Cells for Malignant Glioma Treatment: Latest Advances and Implications for Clinical Application. Cancers. 12(2). 516–516. 16 indexed citations

Hildesheim, Allan, et al.. (2002). Simultaneous measurement of several cytokines using small volumes of biospecimens.. PubMed. 11(11). 1477–84. 25 indexed citations

Parkes, David G., et al.. (2001). Pharmacokinetic actions of exendin‐4 in the rat: Comparison with glucagon‐like peptide‐1. Drug Development Research. 53(4). 260–267. 136 indexed citations

10.

Persson, Kristin, Ronald L. Gingerich, Sonali Nayak, et al.. (2000). Reduced GLP-1 and insulin responses and glucose intolerance after gastric glucose in GRP receptor-deleted mice. American Journal of Physiology-Endocrinology and Metabolism. 279(5). E956–E962. 58 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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