Abhay A. Shukla

712 total citations
19 papers, 476 citations indexed

About

Abhay A. Shukla is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Abhay A. Shukla has authored 19 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Abhay A. Shukla's work include Renal and related cancers (4 papers), Neuroscience and Neuropharmacology Research (2 papers) and Protease and Inhibitor Mechanisms (2 papers). Abhay A. Shukla is often cited by papers focused on Renal and related cancers (4 papers), Neuroscience and Neuropharmacology Research (2 papers) and Protease and Inhibitor Mechanisms (2 papers). Abhay A. Shukla collaborates with scholars based in United States and India. Abhay A. Shukla's co-authors include Subroto Ghose, Shyam S. Chauhan, James F. Amatruda, Dinesh Rakheja, Kenneth Chen, Joshua T. Mendell, Vanessa Schmid, Kelly Gleason, Jonathan E. Wickiser and Nitin J. Karandikar and has published in prestigious journals such as Nature Communications, Genes & Development and PLoS ONE.

In The Last Decade

Abhay A. Shukla

18 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhay A. Shukla United States 11 291 124 91 62 51 19 476
Sung-Nam Cho United States 13 191 0.7× 76 0.6× 88 1.0× 102 1.6× 131 2.6× 13 517
McKale R. Montgomery United States 10 334 1.1× 95 0.8× 132 1.5× 109 1.8× 78 1.5× 18 638
Eric T. Wong United States 8 260 0.9× 57 0.5× 54 0.6× 43 0.7× 106 2.1× 13 441
Xiaoshan Lin China 12 370 1.3× 265 2.1× 45 0.5× 66 1.1× 100 2.0× 40 720
Zuping Zhang China 14 373 1.3× 218 1.8× 22 0.2× 52 0.8× 44 0.9× 33 518
Liquan Yang China 9 221 0.8× 27 0.2× 151 1.7× 33 0.5× 35 0.7× 19 376
Qicai Liu China 10 178 0.6× 50 0.4× 56 0.6× 25 0.4× 32 0.6× 16 346
Miwa Matsui Japan 12 259 0.9× 33 0.3× 55 0.6× 36 0.6× 64 1.3× 20 486
Keiko Horiuchi Japan 11 790 2.7× 267 2.2× 38 0.4× 22 0.4× 86 1.7× 20 954

Countries citing papers authored by Abhay A. Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Abhay A. Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abhay A. Shukla. 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 Abhay A. Shukla. The network helps show where Abhay A. Shukla may publish in the future.

Co-authorship network of co-authors of Abhay A. Shukla

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

All Works

19 of 19 papers shown
1.
Ambrus, Julian L., Alexander Jacob, & Abhay A. Shukla. (2025). Cellular Metabolic Disorders in a Cohort of Patients with Sjogren’s Disease. International Journal of Molecular Sciences. 26(10). 4668–4668.
2.
3.
Chen, Kenneth, Abhay A. Shukla, Emily K. Stroup, et al.. (2018). EGF Receptor and mTORC1 Are Novel Therapeutic Targets in Nonseminomatous Germ Cell Tumors. Molecular Cancer Therapeutics. 17(5). 1079–1089. 11 indexed citations
4.
Chen, Kenneth, Emily K. Stroup, Dinesh Rakheja, et al.. (2018). Mutations in microRNA processing genes in Wilms tumors derepress theIGF2regulatorPLAG1. Genes & Development. 32(15-16). 996–1007. 32 indexed citations
5.
Shukla, Abhay A., Manish K. Jha, Shibani Mukherjee, et al.. (2016). COMT val158met polymorphism and molecular alterations in the human dorsolateral prefrontal cortex: Differences in controls and in schizophrenia. Schizophrenia Research. 173(1-2). 94–100. 9 indexed citations
6.
Shukla, Abhay A.. (2016). High Throughput Screening of Small Molecule Library: Procedure, Challenges and Future. Journal of Cancer Prevention & Current Research. 5(2). 2 indexed citations
7.
Rakheja, Dinesh, Kenneth Chen, Yangjian Liu, et al.. (2014). Abstract LB-204: Somatic mutations in DROSHA and DICER1 impair microRNA biogenesis in Wilms tumors. Cancer Research. 74(19_Supplement). LB–204. 1 indexed citations
8.
Rakheja, Dinesh, Kenneth Chen, Yangjian Liu, et al.. (2014). Somatic mutations in DROSHA and DICER1 impair microRNA biogenesis through distinct mechanisms in Wilms tumours. Nature Communications. 5(1). 4802–4802. 165 indexed citations
9.
Yanagi, Masaya, et al.. (2013). Kv3.1-containing K+ channels are reduced in untreated schizophrenia and normalized with antipsychotic drugs. Molecular Psychiatry. 19(5). 573–579. 62 indexed citations
10.
Shukla, Abhay A., Shama Khokhar, James F. Amatruda, & Dinesh Rakheja. (2013). Abstract 5046: Protein tyrosine phosphatase epsilon (PTPE), a candidate tumor-suppressor in Wilms tumors of childhood, can regulate PI3K/AKT/mTOR pathway.. Cancer Research. 73(8_Supplement). 5046–5046. 1 indexed citations
11.
Verduzco, Daniel, et al.. (2012). Multiple Isoforms of CDC25 Oppose ATM Activity to Maintain Cell Proliferation during Vertebrate Development. Molecular Cancer Research. 10(11). 1451–1461. 9 indexed citations
12.
Singh, Abhay K., Ratnakar Singh, Shyam S. Chauhan, et al.. (2012). Structure Based Design and Synthesis of Peptide Inhibitor of Human LOX-12: In Vitro and In Vivo Analysis of a Novel Therapeutic Agent for Breast Cancer. PLoS ONE. 7(2). e32521–e32521. 22 indexed citations
13.
Gleason, Kelly, Shari G. Birnbaum, Abhay A. Shukla, & Subroto Ghose. (2012). Susceptibility of the adolescent brain to cannabinoids: long-term hippocampal effects and relevance to schizophrenia. Translational Psychiatry. 2(11). e199–e199. 53 indexed citations
14.
Bakhshi, Sameer, et al.. (2011). Epigenetic regulation of cathepsin L expression in chronic myeloid leukaemia. Journal of Cellular and Molecular Medicine. 15(10). 2189–2199. 19 indexed citations
15.
Shukla, Abhay A., et al.. (2010). Ets‐1/ Elk‐1 is a critical mediator of dipeptidyl‐peptidase III transcription in human glioblastoma cells. FEBS Journal. 277(8). 1861–1875. 18 indexed citations
16.
Sansanwal, Poonam, Abhay A. Shukla, Taposh K. Das, & Shyam S. Chauhan. (2010). Truncated Human Cathepsin L, Encoded by a Novel Splice Variant, Exhibits Altered Subcellular Localization and Cytotoxicity. Protein and Peptide Letters. 17(2). 238–245. 5 indexed citations
17.
Mir, Riyaz Ahmad, et al.. (2010). Wild type p53-dependent transcriptional upregulation of cathepsin L expression is mediated by C/EBPα in human glioblastoma cells. Biological Chemistry. 391(9). 1031–40. 11 indexed citations
18.
Bakhshi, Sameer, et al.. (2010). Cathepsins B and L in peripheral blood mononuclear cells of pediatric acute myeloid leukemia: potential poor prognostic markers. Annals of Hematology. 89(12). 1223–1232. 23 indexed citations
19.
Singh, Kalpana, et al.. (2007). Distribution of CCR5Δ32, CCR2-64I and SDF1-3′A and plasma levels of SDF-1 in HIV-1 seronegative North Indians. Journal of Clinical Virology. 38(3). 198–203. 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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