Anamika Pradeep

588 total citations
11 papers, 514 citations indexed

About

Anamika Pradeep is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Anamika Pradeep has authored 11 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Physiology and 3 papers in Immunology. Recurrent topics in Anamika Pradeep's work include Erythrocyte Function and Pathophysiology (7 papers), Phagocytosis and Immune Regulation (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Anamika Pradeep is often cited by papers focused on Erythrocyte Function and Pathophysiology (7 papers), Phagocytosis and Immune Regulation (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Anamika Pradeep collaborates with scholars based in United States, United Kingdom and Canada. Anamika Pradeep's co-authors include Basabi Rana, Chandan Sharma, Pradeep Sathyanarayana, Ajay Rana, Lucas Wong, Don M. Wojchowski, Manoj Kumar Barthwal, James R. Woodgett, Chanakya Nath Kundu and Richard G. Pestell and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Anamika Pradeep

11 papers receiving 504 citations

Peers

Anamika Pradeep
Ivana Huvar United States
A. Sengupta United States
Claire Kitidis United States
Amy C. Ladd United States
Rekha Pal United States
Klaudia Polak United States
Tracy Busse United States
Yoon Sing Yap United States
Ivana Huvar United States
Anamika Pradeep
Citations per year, relative to Anamika Pradeep Anamika Pradeep (= 1×) peers Ivana Huvar

Countries citing papers authored by Anamika Pradeep

Since Specialization
Citations

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

Fields of papers citing papers by Anamika Pradeep

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anamika Pradeep

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

All Works

11 of 11 papers shown
1.
Singh, Seema, Rakesh Kumar Verma, Anamika Pradeep, et al.. (2012). Dynamic Ligand Modulation of EPO Receptor Pools, and Dysregulation by Polycythemia-Associated EPOR Alleles. PLoS ONE. 7(1). e29064–e29064. 14 indexed citations
2.
Singh, Seema, Arvind Dev, Rakesh Kumar Verma, et al.. (2012). Defining an EPOR- Regulated Transcriptome for Primary Progenitors, including Tnfr-sf13c as a Novel Mediator of EPO- Dependent Erythroblast Formation. PLoS ONE. 7(7). e38530–e38530. 15 indexed citations
3.
Sathyanarayana, Pradeep, Arvind Dev, Anamika Pradeep, et al.. (2012). Spry1 as a novel regulator of erythropoiesis, EPO/EPOR target, and suppressor of JAK2. Blood. 119(23). 5522–5531. 11 indexed citations
4.
Dev, Arvind, et al.. (2010). During EPO or anemia challenge, erythroid progenitor cells transit through a selectively expandable proerythroblast pool. Blood. 116(24). 5334–5346. 27 indexed citations
5.
Sathyanarayana, Pradeep, et al.. (2009). CNTO 530 functions as a potent EPO mimetic via unique sustained effects on bone marrow proerythroblast pools. Blood. 113(20). 4955–4962. 36 indexed citations
6.
Sathyanarayana, Pradeep, Arvind Dev, Jing Fang, et al.. (2008). EPO receptor circuits for primary erythroblast survival. Blood. 111(11). 5390–5399. 56 indexed citations
8.
Sharma, Chandan, Anamika Pradeep, Lucas Wong, Ajay Rana, & Basabi Rana. (2004). Peroxisome Proliferator-activated Receptor γ Activation Can Regulate β-Catenin Levels via a Proteasome-mediated and Adenomatous Polyposis Coli-independent Pathway. Journal of Biological Chemistry. 279(34). 35583–35594. 119 indexed citations
9.
Sharma, Chandan, Anamika Pradeep, Richard G. Pestell, & Basabi Rana. (2004). Peroxisome Proliferator-activated Receptor γ Activation Modulates Cyclin D1 Transcription via β-Catenin-independent and cAMP-response Element-binding Protein-dependent Pathways in Mouse Hepatocytes. Journal of Biological Chemistry. 279(17). 16927–16938. 24 indexed citations
10.
Pradeep, Anamika, Chandan Sharma, Pradeep Sathyanarayana, et al.. (2004). Gastrin-mediated activation of cyclin D1 transcription involves β-catenin and CREB pathways in gastric cancer cells. Oncogene. 23(20). 3689–3699. 91 indexed citations
11.
Barthwal, Manoj Kumar, Pradeep Sathyanarayana, Chanakya Nath Kundu, et al.. (2003). Negative Regulation of Mixed Lineage Kinase 3 by Protein Kinase B/AKT Leads to Cell Survival. Journal of Biological Chemistry. 278(6). 3897–3902. 120 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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