Malay Chaklader

572 total citations
27 papers, 459 citations indexed

About

Malay Chaklader is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Malay Chaklader has authored 27 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Genetics and 9 papers in Hematology. Recurrent topics in Malay Chaklader's work include Mesenchymal stem cell research (8 papers), Hematopoietic Stem Cell Transplantation (8 papers) and Acute Myeloid Leukemia Research (3 papers). Malay Chaklader is often cited by papers focused on Mesenchymal stem cell research (8 papers), Hematopoietic Stem Cell Transplantation (8 papers) and Acute Myeloid Leukemia Research (3 papers). Malay Chaklader collaborates with scholars based in United States, India and Belgium. Malay Chaklader's co-authors include S.K. Alex Law, Samaresh Chaudhuri, Sumanta Chatterjee, Pratima Basak, Ranjan Dutta, Madhurima Das, Beverly A. Rothermel, Frank P. Luyten, Johanna Bolander and Liliana Moreira Teixeira and has published in prestigious journals such as Circulation, Journal of the American Society of Nephrology and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Malay Chaklader

27 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malay Chaklader United States 16 194 89 79 69 54 27 459
Johannes Kristian Ploos van Amstel Netherlands 13 197 1.0× 118 1.3× 131 1.7× 80 1.2× 34 0.6× 17 695
Samaresh Chaudhuri India 11 96 0.5× 100 1.1× 111 1.4× 49 0.7× 46 0.9× 21 341
Ester M. Weijers Netherlands 14 216 1.1× 47 0.5× 74 0.9× 65 0.9× 76 1.4× 24 539
Bo Dai China 12 319 1.6× 76 0.9× 64 0.8× 48 0.7× 66 1.2× 34 547
Solange Le Blanc Germany 10 122 0.6× 116 1.3× 77 1.0× 24 0.3× 164 3.0× 14 464
Lucy A. Coupland Australia 15 221 1.1× 150 1.7× 39 0.5× 93 1.3× 199 3.7× 39 583
Dan Jin China 12 153 0.8× 19 0.2× 69 0.9× 40 0.6× 66 1.2× 38 384
H. Li China 12 189 1.0× 50 0.6× 40 0.5× 25 0.4× 47 0.9× 38 578
Yunxian Chen China 12 183 0.9× 67 0.8× 97 1.2× 90 1.3× 73 1.4× 39 469

Countries citing papers authored by Malay Chaklader

Since Specialization
Citations

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

Fields of papers citing papers by Malay Chaklader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malay Chaklader

This figure shows the co-authorship network connecting the top 25 collaborators of Malay Chaklader. A scholar is included among the top collaborators of Malay Chaklader 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 Malay Chaklader. Malay Chaklader 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.
Chaklader, Malay, Gamze B. Bulut, Kelly Mitchell, et al.. (2022). Endothelial OCT4 is atheroprotective by preventing metabolic and phenotypic dysfunction. Cardiovascular Research. 118(11). 2458–2477. 22 indexed citations
2.
Chaklader, Malay & Beverly A. Rothermel. (2021). Calcineurin in the heart: New horizons for an old friend. Cellular Signalling. 87. 110134–110134. 21 indexed citations
3.
Chaklader, Malay, et al.. (2018). Aberrant Wnt Signaling Pathway in the Hematopoietic Stem/Progenitor Compartment in Experimental Leukemic Animal. Journal of Cell Communication and Signaling. 13(1). 39–52. 10 indexed citations
4.
Bolander, Johanna, Wei Ji, Jeroen Leijten, et al.. (2017). Healing of a Large Long-Bone Defect through Serum-Free In Vitro Priming of Human Periosteum-Derived Cells. Stem Cell Reports. 8(3). 758–772. 50 indexed citations
5.
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7.
Guo, Qiusha, Yinqiu Wang, Piyush Tripathi, et al.. (2014). Adam10 Mediates the Choice between Principal Cells and Intercalated Cells in the Kidney. Journal of the American Society of Nephrology. 26(1). 149–159. 38 indexed citations
8.
Chaklader, Malay, et al.. (2013). Differential remodeling of cadherins and intermediate cytoskeletal filaments influence microenvironment of solid and ascitic sarcoma. Molecular and Cellular Biochemistry. 382(1-2). 293–306. 7 indexed citations
9.
Chaklader, Malay, et al.. (2012). Altered canonical hedgehog-gli signalling axis in pesticide-induced bone marrow aplasia mouse model. Archives of Industrial Hygiene and Toxicology. 63(3). 271–282. 15 indexed citations
10.
Chaklader, Malay, et al.. (2012). 17-AAG mediated targeting of Hsp90 limits tert activity in peritoneal sarcoma related malignant ascites by downregulating cyclin D1 during cell cycle entry.. PubMed. 34(2). 90–6. 14 indexed citations
11.
Chatterjee, Sumanta, et al.. (2011). Pesticide induced marrow toxicity and effects on marrow cell population and on hematopoietic stroma. Experimental and Toxicologic Pathology. 65(3). 287–295. 21 indexed citations
12.
Chaklader, Malay, et al.. (2010). Effects of inorganic arsenic on bone marrow hematopoietic cells: an emphasis on apoptosis and Sca-1/c-Kit positive population.. PubMed. 5(3). 117–27. 5 indexed citations
13.
Basak, Pratima, Sumanta Chatterjee, Madhurima Das, et al.. (2010). Phenotypic Alteration of Bone Marrow HSC and Microenvironmental Association in Experimentally Induced Leukemia. Current Stem Cell Research & Therapy. 5(4). 379–386. 15 indexed citations
14.
Chatterjee, Sumanta, Malay Chaklader, Pratima Basak, et al.. (2010). An Animal Model of Chronic Aplastic Bone Marrow Failure Following Pesticide Exposure in Mice. International Journal of Stem Cells. 3(1). 54–62. 23 indexed citations
15.
Basak, Pratima, Sumanta Chatterjee, Madhurima Das, et al.. (2010). Leukemic stromal hematopoietic microenvironment negatively regulates the normal hematopoiesis in mouse model of leukemia. Chinese Journal of Cancer. 29(12). 969–979. 15 indexed citations
16.
Chatterjee, Sumanta, Pratima Basak, Madhurima Das, et al.. (2010). Sca-1 expression pattern in the mouse limbal epithelium and its association with cell cycle.. PubMed. 5(2). 65–74. 7 indexed citations
17.
Das, Madhurima, Sumanta Chatterjee, Pratima Basak, et al.. (2010). The bone marrow stem stromal imbalance--a key feature of disease progression in case of myelodysplastic mouse model.. PubMed. 5(2). 49–64. 16 indexed citations
18.
Chatterjee, Sumanta, Ranjan Dutta, Pratima Basak, et al.. (2010). Alteration in Marrow Stromal Microenvironment and Apoptosis Mechanisms Involved in Aplastic Anemia: An Animal Model to Study the Possible Disease Pathology. Stem Cells International. 2010. 1–12. 28 indexed citations
19.
Das, Madhurima, Sumanta Chatterjee, Pratima Basak, et al.. (2009). Sca-1 / c-Kit receptor expression and apoptosis pattern in ENU induced MDS mice.. PubMed. 4(4). 229–41. 7 indexed citations
20.
Chatterjee, Sumanta, Pratima Basak, Madhurima Das, et al.. (2009). Primitive Sca-1 Positive Bone Marrow HSC in Mouse Model of Aplastic Anemia: A Comparative Study through Flowcytometric Analysis and Scanning Electron Microscopy. Stem Cells International. 2010. 1–7. 10 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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