S. Mahanta

1.1k total citations
13 papers, 974 citations indexed

About

S. Mahanta is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, S. Mahanta has authored 13 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Organic Chemistry. Recurrent topics in S. Mahanta's work include Glycosylation and Glycoproteins Research (7 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (5 papers). S. Mahanta is often cited by papers focused on Glycosylation and Glycoproteins Research (7 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (5 papers). S. Mahanta collaborates with scholars based in India and United States. S. Mahanta's co-authors include Thomas Scholl, Jack L. Strominger, Avadhesha Surolia, Cynthia Bamdad, Shawn P. Fessler, Fu‐Chia Yang, M V Krishna Sastry, Musti J. Swamy, M. Vijayan and Hongye Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Nature Immunology.

In The Last Decade

S. Mahanta

13 papers receiving 963 citations

Peers

S. Mahanta
Comparison fields: 5 of 76
  • Molecular Biology 588
  • Immunology 477
  • Oncology 192
  • Organic Chemistry 179
  • Radiology, Nuclear Medicine and Imaging 121
John Newcomb United States
Kelly P. Kearse United States
Shiteshu Shrimal United States
Peter Scudder United Kingdom
Antonio R. Arulanandam United States
Bénédicte Samyn-Petit France
Margarida Amado Portugal
Barry Potvin United States
Rusty Kutny United States
Stuart Kornfeld United States
John Newcomb United States View profile →
Citations per field, relative to S. Mahanta
S. Mahanta · 1×
Citations per year, relative to S. Mahanta
S. Mahanta · 1×

Countries citing papers authored by S. Mahanta

Since Specialization
Citations

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

Fields of papers citing papers by S. Mahanta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Mahanta

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

All Works

13 of 13 papers shown
# Title Journal Authors Indexed citations
1 MUC1* is a determinant of trastuzumab (Herceptin) resistance in breast cancer cells Breast Cancer Research and Treatment Shawn P. Fessler, S. Mahanta et al. 78
2 A Minimal Fragment of MUC1 Mediates Growth of Cancer Cells PLoS ONE S. Mahanta, Shawn P. Fessler et al. 61
3 Structural Basis for the Energetics of Jacalin–Sugar Interactions: Promiscuity Versus Specificity Journal of Molecular Biology A. Arockia Jeyaprakash, S. Mahanta et al. 57
4 Regulation of the TCRα repertoire by the survival window of CD4+CD8+ thymocytes Nature Immunology Jian Guo, Abbas Hawwari et al. 187
5 Transactivation by CIITA, the type II bare lymphocyte syndrome-associated factor, requires participation of multiple regions of the TATA box binding protein Proceedings of the National Academy of Sciences S. Mahanta, Thomas Scholl et al. 107
6 Specific complex formation between the type II bare lymphocyte syndrome-associated transactivators CIITA and RFX5 Proceedings of the National Academy of Sciences Thomas Scholl, S. Mahanta et al. 130
7 A zinc finger protein that represses transcription of the human MHC class II gene, DPA The Journal of Immunology Thomas Scholl, S. Mahanta et al. 39
8 Cooperativity between the J and S elements of class II major histocompatibility complex genes as enhancers in normal and class II-negative patient and mutant B cell lines. The Journal of Experimental Medicine Mitsuru Sugawara, Thomas Scholl et al. 6
9 Crystal structure of peanut lectin, a protein with an unusual quaternary structure. Proceedings of the National Academy of Sciences R. Banerjee, Shekhar C. Mande et al. 106
10 Primary structure of a Thomsen-Friedenreich-antigen-specific lectin, jacalin [Artocarpus integrifolia (jack fruit) agglutinin]. Evidence for the presence of an internal repeat Biochemical Journal S. Mahanta, N. Venkat Rao et al. 31
11 Further characterization of the saccharide specificity of peanut (Arachis hypogaea) agglutinin Carbohydrate Research Musti J. Swamy, Dipti Gupta et al. 72
12 Preparation and x-ray characterization of four new crystal forms of Jacalin, a lectin from Artocarpus integrifolia Journal of Molecular Biology R. Banerjee, V. Dhanaraj et al. 18
13 Topography of the combining region of a Thomsen-Friedenreich-antigen-specific lectin jacalin (Artocarpus integrifolia agglutinin). A thermodynamic and circular-dichroism spectroscopic study Biochemical Journal S. Mahanta, M V Krishna Sastry et al. 82

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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