Pavan Kumar Dhanyamraju

788 total citations
24 papers, 495 citations indexed

About

Pavan Kumar Dhanyamraju is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Hematology. According to data from OpenAlex, Pavan Kumar Dhanyamraju has authored 24 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Public Health, Environmental and Occupational Health and 7 papers in Hematology. Recurrent topics in Pavan Kumar Dhanyamraju's work include Acute Lymphoblastic Leukemia research (8 papers), Acute Myeloid Leukemia Research (6 papers) and Hedgehog Signaling Pathway Studies (6 papers). Pavan Kumar Dhanyamraju is often cited by papers focused on Acute Lymphoblastic Leukemia research (8 papers), Acute Myeloid Leukemia Research (6 papers) and Hedgehog Signaling Pathway Studies (6 papers). Pavan Kumar Dhanyamraju collaborates with scholars based in United States, India and Germany. Pavan Kumar Dhanyamraju's co-authors include Matthias Lauth, Rajeev Singh, Trupti Patel, Shantu Amin, Todd D. Schell, Volker Fendrich, Florian Finkernagel, Sinisa Dovat, V. Fendrich and Georg Feldmann and has published in prestigious journals such as Nature Communications, Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

Pavan Kumar Dhanyamraju

23 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pavan Kumar Dhanyamraju United States 13 337 112 66 57 48 24 495
Tim Pieters Belgium 12 421 1.2× 78 0.7× 49 0.7× 54 0.9× 57 1.2× 26 563
Todd D. Westergard United States 7 423 1.3× 87 0.8× 54 0.8× 28 0.5× 42 0.9× 9 478
Xiao Hu China 13 456 1.4× 125 1.1× 45 0.7× 78 1.4× 33 0.7× 25 639
Petra Laspe Germany 14 325 1.0× 104 0.9× 109 1.7× 41 0.7× 40 0.8× 19 564
Boris Gole Slovenia 12 282 0.8× 112 1.0× 102 1.5× 27 0.5× 37 0.8× 22 420
Jianping Jin United States 8 517 1.5× 51 0.5× 68 1.0× 81 1.4× 26 0.5× 9 703
Nicola J. Sunter United Kingdom 7 438 1.3× 181 1.6× 102 1.5× 20 0.4× 20 0.4× 9 527
Kiran Nakka Canada 13 500 1.5× 82 0.7× 148 2.2× 37 0.6× 41 0.9× 18 642
Glen Raffel United States 11 337 1.0× 65 0.6× 71 1.1× 62 1.1× 23 0.5× 36 505
Jinhui Wang United States 14 355 1.1× 111 1.0× 139 2.1× 50 0.9× 26 0.5× 29 547

Countries citing papers authored by Pavan Kumar Dhanyamraju

Since Specialization
Citations

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

Fields of papers citing papers by Pavan Kumar Dhanyamraju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pavan Kumar Dhanyamraju. 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 Pavan Kumar Dhanyamraju. The network helps show where Pavan Kumar Dhanyamraju may publish in the future.

Co-authorship network of co-authors of Pavan Kumar Dhanyamraju

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

All Works

20 of 20 papers shown
1.
Nethi, Susheel Kumar, et al.. (2023). Nanomedicine Strategies for Targeting Tumor Stroma. Cancers. 15(16). 4145–4145. 15 indexed citations
2.
Dhanyamraju, Pavan Kumar. (2023). Drug resistance mechanisms in cancers: Execution of pro-survival strategies. Journal of Biomedical Research. 38(2). 95–95. 21 indexed citations
3.
Dhanyamraju, Pavan Kumar, et al.. (2022). Drug-Tolerant Persister Cells in Cancer Therapy Resistance. Cancer Research. 82(14). 2503–2514. 81 indexed citations
4.
Dhanyamraju, Pavan Kumar, et al.. (2022). Revisiting the melanomagenic pathways and current therapeutic approaches. Molecular Biology Reports. 49(10). 9651–9671. 2 indexed citations
5.
Dhanyamraju, Pavan Kumar & Trupti Patel. (2022). Melanoma therapeutics: a literature review. Journal of Biomedical Research. 36(2). 77–77. 37 indexed citations
6.
Song, Chunhua, Pavan Kumar Dhanyamraju, Yali Ding, et al.. (2021). Mechanistic Basis for In Vivo Therapeutic Efficacy of CK2 Inhibitor CX-4945 in Acute Myeloid Leukemia. Cancers. 13(5). 1127–1127. 12 indexed citations
7.
Song, Chunhua, Pavan Kumar Dhanyamraju, Mary McGrath, et al.. (2021). Transcriptional Regulation of PIK3CD and PIKFYVE in T-Cell Acute Lymphoblastic Leukemia by IKAROS and Protein Kinase CK2. International Journal of Molecular Sciences. 22(2). 819–819. 8 indexed citations
8.
Patel, Trupti & Pavan Kumar Dhanyamraju. (2021). Role of aberrant Sonic hedgehog signaling pathway in cancers and developmental anomalies. Journal of Biomedical Research. 36(1). 1–1. 5 indexed citations
9.
Wang, Jingwei, et al.. (2021). Cell-free fetal DNA testing and its correlation with prenatal indications. BMC Pregnancy and Childbirth. 21(1). 585–585. 19 indexed citations
10.
Tan, Su‐Fern, Pavan Kumar Dhanyamraju, Zheng Zeng, et al.. (2020). The PI3K/AKT Pathway Inhibitor ISC-4 Induces Apoptosis and Inhibits Growth of Leukemia in Preclinical Models of Acute Myeloid Leukemia. Frontiers in Oncology. 10. 393–393. 16 indexed citations
11.
Dhanyamraju, Pavan Kumar, Trupti Patel, & Sinisa Dovat. (2020). Medulloblastoma: “Onset of the molecular era”. Molecular Biology Reports. 47(12). 9931–9937. 9 indexed citations
12.
Dhanyamraju, Pavan Kumar. (2020). The Role of “Hedgehog Signaling” in AML. 4(3).
13.
Gowda, Chandrika, Chunhua Song, Yali Ding, et al.. (2019). Cellular signaling and epigenetic regulation of gene expression in leukemia. Advances in Biological Regulation. 75. 100665–100665. 17 indexed citations
14.
Ding, Yali, Bo Zhang, Jonathon L. Payne, et al.. (2019). Ikaros tumor suppressor function includes induction of active enhancers and super-enhancers along with pioneering activity. Leukemia. 33(11). 2720–2731. 30 indexed citations
15.
Song, Chunhua, Zheng Ge, Chandrika Gowda, et al.. (2019). Abstract 286: Synergistic efficacy of CK2 inhibitor with common chemotherapy drugs by restoring Ikaros function in high-risk ALL. 286–286. 1 indexed citations
16.
Song, Chunhua, Chandrika Gowda, Yali Ding, et al.. (2019). Abstract 286: Synergistic efficacy of CK2 inhibitor with common chemotherapy drugs by restoring Ikaros function in high-risk ALL. Cancer Research. 79(13_Supplement). 286–286. 1 indexed citations
17.
Singh, Rajeev, Pavan Kumar Dhanyamraju, & Matthias Lauth. (2016). DYRK1B blocks canonical and promotes non-canonical Hedgehog signaling through activation of the mTOR/AKT pathway. Oncotarget. 8(1). 833–845. 63 indexed citations
18.
Schneider, Philipp, Juan Bayo, Rajeev Singh, et al.. (2015). Identification of a novel actin-dependent signal transducing module allows for the targeted degradation of GLI1. Nature Communications. 6(1). 8023–8023. 53 indexed citations
19.
Dhanyamraju, Pavan Kumar, et al.. (2014). Histone Deacetylase 6 Represents a Novel Drug Target in the Oncogenic Hedgehog Signaling Pathway. Molecular Cancer Therapeutics. 14(3). 727–739. 42 indexed citations
20.
Dhanyamraju, Pavan Kumar, et al.. (2014). The Yes-associated protein controls the cell density regulation of Hedgehog signaling. Oncogenesis. 3(8). e112–e112. 43 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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