Pushpankur Ghoshal

703 total citations
23 papers, 520 citations indexed

About

Pushpankur Ghoshal is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Pushpankur Ghoshal has authored 23 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Oncology. Recurrent topics in Pushpankur Ghoshal's work include Multiple Myeloma Research and Treatments (4 papers), Cell Adhesion Molecules Research (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). Pushpankur Ghoshal is often cited by papers focused on Multiple Myeloma Research and Treatments (4 papers), Cell Adhesion Molecules Research (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). Pushpankur Ghoshal collaborates with scholars based in United States, Canada and South Korea. Pushpankur Ghoshal's co-authors include Gábor Csányi, Bhupesh Singla, Mary Cherian‐Shaw, John K. Cowell, Yong Teng, Jessica Faulkner, Jin‐Xiong She, Eric J. Belin de Chantemèle, Paul O’Connor and Mulchand S. Patel and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Pushpankur Ghoshal

23 papers receiving 518 citations

Peers

Pushpankur Ghoshal

IMMUN

ONCOL

Janna Nousbeck Israel

Yoshihiro Horii Japan

Mikako Yagi Japan

Kristin Hauff Canada

Jonah Riddell United States

Anderson R. Frank United States

Miriam Lee South Korea

Cathyryne K. Manner United States

Norimasa Matsushita Japan

Meritxell Reverter Australia

Janna Nousbeck Israel

Pushpankur Ghoshal

343 ×1.2

67 ×0.8

181 ×2.2

IMMUN

49 ×0.6

ONCOL

152 ×1.9

Citations per year, relative to Pushpankur Ghoshal Pushpankur Ghoshal (= 1×) peers Janna Nousbeck

Countries citing papers authored by Pushpankur Ghoshal

Since Specialization

Citations

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

Fields of papers citing papers by Pushpankur Ghoshal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pushpankur Ghoshal

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

Ghoshal, Pushpankur, et al.. (2024). SARS-CoV-2 Spike Protein Stimulates Macropinocytosis in Murine and Human Macrophages via PKC-NADPH Oxidase Signaling. Antioxidants. 13(2). 175–175. 1 indexed citations

Ghoshal, Pushpankur, Bhupesh Singla, Graydon B. Gonsalvez, et al.. (2024). Activation of receptor-independent fluid-phase pinocytosis promotes foamy monocyte formation in atherosclerotic mice. Redox Biology. 78. 103423–103423. 2 indexed citations

Singla, Bhupesh, Pushpankur Ghoshal, Mary Cherian‐Shaw, et al.. (2022). Receptor-independent fluid-phase macropinocytosis promotes arterial foam cell formation and atherosclerosis. Science Translational Medicine. 14(663). eadd2376–eadd2376. 28 indexed citations

Hudson, Farlyn Z., Valerie Harris, Pushpankur Ghoshal, et al.. (2021). MEK inhibition exerts temporal and myeloid cell-specific effects in the pathogenesis of neurofibromatosis type 1 arteriopathy. Scientific Reports. 11(1). 24345–24345. 3 indexed citations

Singla, Bhupesh, Pushpankur Ghoshal, Mary Cherian‐Shaw, et al.. (2020). Role of R-spondin 2 in arterial lymphangiogenesis and atherosclerosis. Cardiovascular Research. 117(6). 1489–1509. 31 indexed citations

Ghoshal, Pushpankur, Bhupesh Singla, Hui‐Ping Lin, et al.. (2019). Loss of GTPase activating protein neurofibromin stimulates paracrine cell communication via macropinocytosis. Redox Biology. 27. 101224–101224. 13 indexed citations

Singla, Bhupesh, et al.. (2018). PKCδ stimulates macropinocytosis via activation of SSH1-cofilin pathway. Cellular Signalling. 53. 111–121. 21 indexed citations

Singla, Bhupesh, Pushpankur Ghoshal, Hui‐Ping Lin, et al.. (2018). PKCδ-Mediated Nox2 Activation Promotes Fluid-Phase Pinocytosis of Antigens by Immature Dendritic Cells. Frontiers in Immunology. 9. 537–537. 23 indexed citations

Singla, Bhupesh, Pushpankur Ghoshal, Jessica Faulkner, et al.. (2018). Identification of novel macropinocytosis inhibitors using a rational screen of Food and Drug Administration‐approved drugs. British Journal of Pharmacology. 175(18). 3640–3655. 98 indexed citations

10.

Ghoshal, Pushpankur, Bhupesh Singla, Hui‐Ping Lin, et al.. (2016). Nox2-Mediated PI3K and Cofilin Activation Confers Alternate Redox Control of Macrophage Pinocytosis. Antioxidants and Redox Signaling. 26(16). 902–916. 20 indexed citations

11.

Csányi, Gábor, Pushpankur Ghoshal, Bhupesh Singla, et al.. (2016). CD47 and Nox1 Mediate Dynamic Fluid-Phase Macropinocytosis of Native LDL. Antioxidants and Redox Signaling. 26(16). 886–901. 30 indexed citations

12.

Ghoshal, Pushpankur, et al.. (2014). Glycosylation Inhibitors Efficiently Inhibit P-Selectin-Mediated Cell Adhesion to Endothelial Cells. PLoS ONE. 9(6). e99363–e99363. 14 indexed citations

13.

Teng, Yong, et al.. (2013). Critical role of the WASF3 gene in JAK2/STAT3 regulation of cancer cell motility. Carcinogenesis. 34(9). 1994–1999. 38 indexed citations

14.

Ghoshal, Pushpankur, et al.. (2012). HIF1A induces expression of the WASF3 metastasis‐associated gene under hypoxic conditions. International Journal of Cancer. 131(6). E905–15. 31 indexed citations

15.

Srinivasan, Malathi, Cheol Soo Choi, Pushpankur Ghoshal, et al.. (2010). β-Cell-specific pyruvate dehydrogenase deficiency impairs glucose-stimulated insulin secretion. American Journal of Physiology-Endocrinology and Metabolism. 299(6). E910–E917. 35 indexed citations

16.

Choi, Cheol Soo, Pushpankur Ghoshal, Malathi Srinivasan, et al.. (2010). Liver‐Specific Pyruvate Dehydrogenase Complex Deficiency Upregulates Lipogenesis in Adipose Tissue and Improves Peripheral Insulin Sensitivity. Lipids. 45(11). 987–995. 16 indexed citations

17.

Chitta, Kasyapa S., Kiersten Marie Miles, Pushpankur Ghoshal, et al.. (2009). At-101 Induces Apoptosis Waldenstrom Macroglobulinemia Cells Resistant to Bortezomib.. Blood. 114(22). 2861–2861. 4 indexed citations

18.

Ghoshal, Pushpankur, Kasyapa S. Chitta, Slavoljub Vujcic, et al.. (2009). Mapatumumab, A TRAIL Receptor 1 Agonist Antibody, Induces Apoptosis in Bortezomib Resistant Multiple Myeloma.. Blood. 114(22). 2832–2832. 3 indexed citations

19.

Ghoshal, Pushpankur, Christiane Houde, Timothy R. Johnson, et al.. (2007). SMRT; Not So Smart in Multiple Myeloma.. Blood. 110(11). 4137–4137. 4 indexed citations

20.

Song, Lynda L., Andrei Zlobin, Pushpankur Ghoshal, et al.. (2005). Alteration of SMRT Tumor Suppressor Function in Transformed Non-Hodgkin Lymphomas. Cancer Research. 65(11). 4554–4561. 15 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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