Sugata Manna

562 total citations
11 papers, 437 citations indexed

About

Sugata Manna is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Sugata Manna has authored 11 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 4 papers in Oncology. Recurrent topics in Sugata Manna's work include Tea Polyphenols and Effects (5 papers), Cancer-related Molecular Pathways (3 papers) and Tannin, Tannase and Anticancer Activities (3 papers). Sugata Manna is often cited by papers focused on Tea Polyphenols and Effects (5 papers), Cancer-related Molecular Pathways (3 papers) and Tannin, Tannase and Anticancer Activities (3 papers). Sugata Manna collaborates with scholars based in India, Sweden and United States. Sugata Manna's co-authors include Jonas Sjölund, Börje Ljungberg, Martin Johansson, Håkan Axelson, Chinmay K. Panda, Sukta Das, Sudeshna Mukherjee, Siv Beckman, Elise Nilsson and Alexander Pietras and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Blood.

In The Last Decade

Sugata Manna

11 papers receiving 433 citations

Peers

Sugata Manna

ONCOL

IMMUN

PFM

Baohe Zhu China

Xiaoling Luo China

Ann K. Strege United States

Ji-Hong Ren China

Aashvini Belosay United States

Francesca Rosignolo Italy

Yongzeng Ding United States

Young Kwon Hong South Korea

Aqeel Ahmed United States

Yongqiang Hou China

Baohe Zhu China

Sugata Manna

203 ×0.7

82 ×1.0

72 ×1.0

ONCOL

56 ×0.8

IMMUN

94 ×1.3

PFM

Citations per year, relative to Sugata Manna Sugata Manna (= 1×) peers Baohe Zhu

Countries citing papers authored by Sugata Manna

Since Specialization

Citations

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

Fields of papers citing papers by Sugata Manna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sugata Manna

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

All Works

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11 of 11 papers shown

Manna, Sugata, J. Kim, Catherine Baugé, et al.. (2015). Histone H3 Lysine 27 demethylases Jmjd3 and Utx are required for T-cell differentiation. Nature Communications. 6(1). 8152–8152. 88 indexed citations

Manna, Sugata & Avinash Bhandoola. (2015). Intrathymic Injection. Methods in molecular biology. 1323. 203–209. 7 indexed citations

Zhang, Shirley, Xin Wang, Sugata Manna, et al.. (2014). Chemokine treatment rescues profound T-lineage progenitor homing defect after bone marrow transplant conditioning in mice. Blood. 124(2). 296–304. 30 indexed citations

Sjölund, Jonas, David Lindgren, Sugata Manna, et al.. (2011). The Notch and TGF-β Signaling Pathways Contribute to the Aggressiveness of Clear Cell Renal Cell Carcinoma. PLoS ONE. 6(8). e23057–e23057. 55 indexed citations

Mukherjee, Sudeshna, et al.. (2009). Differential alterations in metabolic pattern of the spliceosomal uridylic acid‐rich small nuclear RNAs (UsnRNAs) during malignant transformation of 20‐methylcholanthrene‐induced mouse CNCI‐PM‐20 embryonic fibroblasts. Molecular Carcinogenesis. 48(9). 773–778. 2 indexed citations

Manna, Sugata, Sudeshna Mukherjee, Anup Roy, Sukta Das, & Chinmay K. Panda. (2008). Tea polyphenols can restrict benzo[a]pyrene-induced lung carcinogenesis by altered expression of p53-associated genes and H-ras, c-myc and cyclin D1. The Journal of Nutritional Biochemistry. 20(5). 337–349. 37 indexed citations

Sjölund, Jonas, Martin Johansson, Sugata Manna, et al.. (2008). Suppression of renal cell carcinoma growth by inhibition of Notch signaling in vitro and in vivo. Journal of Clinical Investigation. 118(1). 217–228. 147 indexed citations

Banerjee, Sarmistha, et al.. (2007). Black tea polyphenols restrict benzopyrene-induced mouse lung cancer progression through inhibition of Cox-2 and induction of caspase-3 expression.. PubMed. 7(4). 661–6. 20 indexed citations

Manna, Sugata, Sarmistha Banerjee, Prosenjit Saha, et al.. (2006). Differential Alterations in Metabolic Pattern of the Spliceosomal UsnRNAs during Pre-Malignant Lung Lesions Induced by Benzo(a)pyrene: Modulation by Tea Polyphenols. Molecular and Cellular Biochemistry. 289(1-2). 149–157. 6 indexed citations

10.

Manna, Sugata, Sarmistha Banerjee, Sudeshna Mukherjee, Sukta Das, & Chinmay K. Panda. (2006). Epigallocatechin gallate induced apoptosis in Sarcoma180 cells in vivo: Mediated by p53 pathway and inhibition in U1B, U4-U6 UsnRNAs expression. APOPTOSIS. 11(12). 2267–76. 34 indexed citations

11.

Saha, Prosenjit, et al.. (2005). Black Tea Extract Can Modulate Protein Expression of H-ras, c-Myc, p53, and Bcl-2 Genes During Pulmonary Hyperplasia, Dysplasia, and Carcinoma In Situ. Journal of Environmental Pathology Toxicology and Oncology. 24(3). 211–224. 11 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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