Sarmila Chandra

1.0k total citations
35 papers, 816 citations indexed

About

Sarmila Chandra is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Sarmila Chandra has authored 35 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Hematology and 9 papers in Genetics. Recurrent topics in Sarmila Chandra's work include Glycosylation and Glycoproteins Research (9 papers), Hemoglobinopathies and Related Disorders (8 papers) and Acute Lymphoblastic Leukemia research (7 papers). Sarmila Chandra is often cited by papers focused on Glycosylation and Glycoproteins Research (9 papers), Hemoglobinopathies and Related Disorders (8 papers) and Acute Lymphoblastic Leukemia research (7 papers). Sarmila Chandra collaborates with scholars based in India, United States and Germany. Sarmila Chandra's co-authors include Chitra Mandal, Chandan Mandal, Susmita Mondal, R. S. Sangwan, Asish Mallick, Debasis Banerjee, Uma B. Dasgupta, Sayantani Sarkar Bhattacharya, Abhijit Chakrabarti and Laxminarain Misra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Oncology and International Journal of Cancer.

In The Last Decade

Sarmila Chandra

33 papers receiving 799 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sarmila Chandra India 17 442 159 153 152 116 35 816
Baobing Zhao China 18 485 1.1× 124 0.8× 123 0.8× 75 0.5× 97 0.8× 55 880
Wayne S. Stillman United States 19 335 0.8× 227 1.4× 155 1.0× 39 0.3× 28 0.2× 37 940
Jyoti Kanwar India 5 517 1.2× 75 0.5× 135 0.9× 41 0.3× 31 0.3× 25 867
Haojian Zhang China 16 662 1.5× 119 0.7× 466 3.0× 11 0.1× 226 1.9× 49 1.2k
Jue Yang China 18 557 1.3× 131 0.8× 42 0.3× 24 0.2× 25 0.2× 60 933
Zhu Chen China 15 516 1.2× 63 0.4× 192 1.3× 14 0.1× 32 0.3× 24 680
Jui Dutta United States 8 461 1.0× 172 1.1× 66 0.4× 21 0.1× 16 0.1× 14 752
Łukasz Sędek Poland 16 306 0.7× 114 0.7× 181 1.2× 10 0.1× 52 0.4× 59 771
Haruka Shinohara Japan 22 1.2k 2.7× 163 1.0× 66 0.4× 22 0.1× 32 0.3× 32 1.5k
Kiyohiro Irimajiri Japan 10 284 0.6× 135 0.8× 110 0.7× 11 0.1× 73 0.6× 41 553

Countries citing papers authored by Sarmila Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Sarmila Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarmila Chandra

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

All Works

20 of 20 papers shown
1.
Powles, Thomas, Aakanksha Bhatia, Barbara Burtness, et al.. (2024). 690TiP HERTHENA-PanTumor01: A global phase II trial of HER3-DXd in metastatic solid tumors. Annals of Oncology. 35. S534–S535. 2 indexed citations
2.
3.
Bhattacharya, Gargi, et al.. (2012). hsa-miR-503 Is Downregulated in β Thalassemia Major. Acta Haematologica. 128(3). 187–189. 9 indexed citations
4.
Bhattacharya, Gargi, et al.. (2012). Influence ofBCL11A, HBS1L-MYB, HBBP1Single Nucleotide Polymorphisms and theHBG2 XmnI Polymorphism On Hb F Levels. Hemoglobin. 36(6). 592–599. 17 indexed citations
5.
Mandal, Chandan, Sarmila Chandra, & R. Schauer. (2011). Regulation of O-acetylation of sialic acids by sialate-O-acetyltransferase and sialate-O-acetylesterase activities in childhood acute lymphoblastic leukemia. Glycobiology. 22(1). 70–83. 27 indexed citations
6.
Mondal, Susmita, et al.. (2011). 9-O-Acetyl GD3 in Lymphoid and Erythroid Cells. Advances in experimental medicine and biology. 705. 317–334. 2 indexed citations
7.
Mondal, Susmita, Chandan Mandal, R. S. Sangwan, Sarmila Chandra, & Chitra Mandal. (2010). Withanolide D induces apoptosis in leukemia by targeting the activation of neutral sphingomyelinase-ceramide cascade mediated by synergistic activation of c-Jun N-terminal kinase and p38 mitogen-activated protein kinase. Molecular Cancer. 9(1). 239–239. 77 indexed citations
8.
Mondal, Susmita, Sarmila Chandra, & Chitra Mandal. (2009). Elevated mRNA level of hST6Gal I and hST3Gal V positively correlates with the high risk of pediatric acute leukemia. Leukemia Research. 34(4). 463–470. 43 indexed citations
9.
Basu, Sumanta, Debasis Banerjee, Sarmila Chandra, & Abhijit Chakrabarti. (2009). Eryptosis in hereditary spherocytosis and thalassemia: role of glycoconjugates. Glycoconjugate Journal. 27(7-9). 717–722. 36 indexed citations
10.
Bhattacharya, Gargi, et al.. (2009). Hb Sallanches [α104(G11)Cys→Tyr, TGC>TAC] Occurs Frequently on the Indian Subcontinent. Hemoglobin. 33(6). 486–491. 3 indexed citations
11.
Mandal, Chandan, et al.. (2008). O‐acetylation of GD3 prevents its apoptotic effect and promotes survival of lymphoblasts in childhood acute lymphoblastic leukaemia. Journal of Cellular Biochemistry. 105(3). 724–734. 51 indexed citations
12.
Bhattacharya, Gargi, et al.. (2008). Polymerase Chain Reaction-Based Search for Two α-Globin Gene Mutations in India. Hemoglobin. 32(5). 485–490. 8 indexed citations
13.
Mandal, Chandan, Gayathri Srinivasan, Sarmila Chandra, et al.. (2008). High level of sialate-O-acetyltransferase activity in lymphoblasts of childhood acute lymphoblastic leukaemia (ALL): enzyme characterization and correlation with disease status. Glycoconjugate Journal. 26(1). 57–73. 28 indexed citations
14.
Majumdar, Sunipa, et al.. (2008). Association of cytochrome P450, glutathione S-transferase and N-acetyl transferase 2 gene polymorphisms with incidence of acute myeloid leukemia. European Journal of Cancer Prevention. 17(2). 125–132. 34 indexed citations
15.
16.
Basu, Sumanta, Debasis Banerjee, Sarmila Chandra, & Abhijit Chakrabarti. (2008). Loss of phospholipid membrane asymmetry and sialylated glycoconjugates from erythrocyte surface in haemoglobin E β‐thalassaemia. British Journal of Haematology. 141(1). 92–99. 24 indexed citations
17.
Banerjee, Debasis, et al.. (2006). Red cell morphology in leukemia, hypoplastic anemia and myelodysplastic syndrome. Pathophysiology. 13(4). 217–225. 17 indexed citations
18.
Sengupta, Amitava, Debasish Banerjee, Sarmila Chandra, & Subrata Banerjee. (2006). Gene therapy for BCR‐ABL+ human CML with dual phosphorylation resistant p27Kip1 and stable RNA interference using an EBV vector. The Journal of Gene Medicine. 8(10). 1251–1261. 14 indexed citations
19.
Bandyopadhyay, Sanmay, et al.. (2005). Two β‐globin cluster‐linked polymorphic loci in thalassemia patients of variable levels of fetal hemoglobin. European Journal Of Haematology. 75(1). 47–53. 10 indexed citations
20.
Bandyopadhyay, Sanmay, et al.. (2001). Variable severity of β-thalassemia patients of Eastern India: effect of α-thalassemia and XmnI polymorphism. Clinical and Experimental Medicine. 1(3). 155–159. 17 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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