Amrita Nandan

1.3k total citations · 1 hit paper
12 papers, 946 citations indexed

About

Amrita Nandan is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Amrita Nandan has authored 12 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Amrita Nandan's work include T-cell and B-cell Immunology (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Galectins and Cancer Biology (3 papers). Amrita Nandan is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Galectins and Cancer Biology (3 papers). Amrita Nandan collaborates with scholars based in India, Germany and United States. Amrita Nandan's co-authors include Tim Sparwasser, Christian T. Mayer, Christina Hesse, Luciana Berod, Heike Bähre, Jochen Huehn, Carla N. Castro, Aline Sandouk, Sarah K. Tschirner and Jenny Freitag and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Amrita Nandan

11 papers receiving 941 citations

Hit Papers

De novo fatty acid synthesis controls the fate between re... 2014 2026 2018 2022 2014 200 400 600

Peers

Amrita Nandan
Amrita Nandan
Citations per year, relative to Amrita Nandan Amrita Nandan (= 1×) peers Srividya Sriskantharajah

Countries citing papers authored by Amrita Nandan

Since Specialization
Citations

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

Fields of papers citing papers by Amrita Nandan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amrita Nandan

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

All Works

12 of 12 papers shown
2.
Nandan, Amrita, et al.. (2023). Deciphering the mechanism of Tinospora cordifolia extract on Th17 cells through in-depth transcriptomic profiling and in silico analysis. Frontiers in Pharmacology. 13. 1056677–1056677. 5 indexed citations
3.
Sharma, Vishwas, Amrita Nandan, Harpreet Singh, et al.. (2019). Events of alternative splicing in head and neck cancer via RNA sequencing – an update. BMC Genomics. 20(1). 442–442. 8 indexed citations
4.
Sharma, Vishwas, Amrita Nandan, Harpreet Singh, et al.. (2017). Signature of genetic associations in oral cancer. Tumor Biology. 39(10). 2901603555–2901603555. 20 indexed citations
5.
Mayer, Christian T., Peyman Ghorbani, Amrita Nandan, et al.. (2014). Selective and efficient generation of functional Batf3-dependent CD103+ dendritic cells from mouse bone marrow. Blood. 124(20). 3081–3091. 154 indexed citations
6.
Berod, Luciana, Christin Friedrich, Amrita Nandan, et al.. (2014). De novo fatty acid synthesis controls the fate between regulatory T and T helper 17 cells. Nature Medicine. 20(11). 1327–1333. 700 indexed citations breakdown →
7.
Mayer, Christian T., Julia M. Huntenburg, Amrita Nandan, et al.. (2013). CD4 blockade directly inhibits mouse and human CD4+ T cell functions independent of Foxp3+ Tregs. Journal of Autoimmunity. 47. 73–82. 11 indexed citations
8.
Sharma, Vishwas, Varun Kumar Sharma, R. Saikant, et al.. (2011). Phylogenetic analysis, based on EPIYA repeats in the cagA gene of Indian Helicobacter pylori, and the implications of sequence variation in tyrosine phosphorylation motifs on determining the clinical outcome. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Tiwari, Santosh K., Vishwas Sharma, Varun Kumar Sharma, et al.. (2011). Phylogenetic analysis, based on EPIYA repeats in the cagA gene of Indian Helicobacter pylori, and the implications of sequence variation in tyrosine phosphorylation motifs on determining the clinical outcome. Genetics and Molecular Biology. 34(2). 280–285. 8 indexed citations
10.
Tiwari, Santosh K., G. Manoj, Vishwas Sharma, et al.. (2010). Relevance of Helicobacter pylori genotypes in gastric pathology and its association with plasma malondialdehyde and nitric oxide levels. Inflammopharmacology. 18(2). 59–64. 13 indexed citations
11.
Bhaskar, L.V.K.S., Kumarasamy Thangaraj, Connie J. Mulligan, et al.. (2009). Dopamine transporter (DAT1) VNTR polymorphism in 12 Indian populations. Neurological Sciences. 30(6). 487–493. 6 indexed citations
12.
Thangaraj, Kumarasamy, Amrita Nandan, Vishwas Sharma, et al.. (2009). Deep Rooting In-Situ Expansion of mtDNA Haplogroup R8 in South Asia. PLoS ONE. 4(8). e6545–e6545. 20 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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