Sanjay De Mel

1.7k total citations
88 papers, 907 citations indexed

About

Sanjay De Mel is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Sanjay De Mel has authored 88 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 27 papers in Oncology and 25 papers in Pathology and Forensic Medicine. Recurrent topics in Sanjay De Mel's work include Multiple Myeloma Research and Treatments (23 papers), Lymphoma Diagnosis and Treatment (22 papers) and Protein Degradation and Inhibitors (18 papers). Sanjay De Mel is often cited by papers focused on Multiple Myeloma Research and Treatments (23 papers), Lymphoma Diagnosis and Treatment (22 papers) and Protein Degradation and Inhibitors (18 papers). Sanjay De Mel collaborates with scholars based in Singapore, United Kingdom and Sri Lanka. Sanjay De Mel's co-authors include Wee Joo Chng, Siok‐Bian Ng, Anand D. Jeyasekharan, Melissa Ooi, Cinnie Yentia Soekojo, Suranjith L. Seneviratne, Phyllis S.Y. Chong, Visula Abeysuriya, Susan Swee‐Shan Hue and Roshan Niloofa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Sanjay De Mel

81 papers receiving 899 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjay De Mel Singapore 16 332 311 232 225 175 88 907
Dominique Challine France 18 103 0.3× 249 0.8× 344 1.5× 167 0.7× 141 0.8× 34 1.1k
Kim Lauper Switzerland 13 181 0.5× 97 0.3× 130 0.6× 100 0.4× 234 1.3× 41 947
Naohito Fujishima Japan 19 167 0.5× 326 1.0× 598 2.6× 108 0.5× 393 2.2× 63 1.4k
Danielle M. Carrick United States 23 467 1.4× 110 0.4× 227 1.0× 65 0.3× 248 1.4× 35 1.6k
Corinna Hahn Germany 12 200 0.6× 408 1.3× 174 0.8× 109 0.5× 70 0.4× 17 829
Renée M. Y. Barge Netherlands 23 379 1.1× 343 1.1× 504 2.2× 88 0.4× 318 1.8× 44 1.5k
Alicja Chybicka Poland 17 182 0.5× 279 0.9× 594 2.6× 58 0.3× 167 1.0× 100 1.2k
Steve Schey United Kingdom 17 342 1.0× 534 1.7× 651 2.8× 307 1.4× 258 1.5× 45 1.4k
Claire Rieux France 15 87 0.3× 192 0.6× 336 1.4× 143 0.6× 134 0.8× 33 1.2k

Countries citing papers authored by Sanjay De Mel

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay De Mel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanjay De Mel. 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 Sanjay De Mel. The network helps show where Sanjay De Mel may publish in the future.

Co-authorship network of co-authors of Sanjay De Mel

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay De Mel. A scholar is included among the top collaborators of Sanjay De Mel 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 Sanjay De Mel. Sanjay De Mel 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.
Tang, Xiao, Esther Hian Li Chan, Sanjay De Mel, et al.. (2024). Evaluating the Comprehensive Geriatric Assessment Model As an Assessment Tool to Predict Chemotoxicity in Elderly Patients with Lymphoma. Blood. 144(Supplement 1). 388–388.
2.
Liu, Min, Hong Liang, Patrick Jaynes, et al.. (2024). Spatial-Resolved Transcriptomics Reveals Immune Landscape Variations in Primary Central Nervous System Lymphoma (PCNSL) and Diffuse Large B-Cell Lymphoma (DLBCL). Blood. 144(Supplement 1). 3004–3004. 1 indexed citations
3.
Soon, Yu Yang, Ainsley Ryan Yan Bin Lee, Shi Yin Wong, et al.. (2024). Lenalidomide, ixazomib, or daratumumab maintenance therapy in multiple myeloma. PubMed. 1(4). 100042–100042. 1 indexed citations
4.
Blasiak, Agata, Xavier Tadeo, Kirthika Senthil Kumar, et al.. (2024). Personalized dose selection for the first Waldenström macroglobulinemia patient on the PRECISE CURATE.AI trial. npj Digital Medicine. 7(1). 223–223. 6 indexed citations
5.
Mel, Sanjay De, Ainsley Ryan Yan Bin Lee, Limei Poon, et al.. (2024). Targeting the DNA damage response in hematological malignancies. Frontiers in Oncology. 14. 1307839–1307839. 3 indexed citations
6.
Abid, Muhammad Bilal, et al.. (2024). Immuno-Haematologic Aspects of Dengue Infection: Biologic Insights and Clinical Implications. Viruses. 16(7). 1090–1090. 5 indexed citations
7.
Chong, Vanessa Cui Lian, Ian Wee, Limei Poon, et al.. (2023). Efficacy and safety of front-line treatment regimens for Waldenstrom macroglobulinaemia: a systematic review and meta-analysis. Blood Cancer Journal. 13(1). 140–140. 5 indexed citations
8.
Chen, Yunxin, Melissa Ooi, Sanjay De Mel, et al.. (2023). AL amyloidosis: Singapore Myeloma Study Group consensus guidelines on diagnosis, treatment and management. Annals of the Academy of Medicine Singapore. 52(11). 601–624. 2 indexed citations
9.
Teo, Winnie Z.Y., Bee Choo Tai, Melissa Ooi, et al.. (2023). Response-Adapted Therapy for Newly Diagnosed Multiple Myeloma. Current Hematologic Malignancy Reports. 18(5). 190–200. 1 indexed citations
10.
Chng, Wee Joo, et al.. (2022). Tumor-Associated Macrophages and Related Myelomonocytic Cells in the Tumor Microenvironment of Multiple Myeloma. Cancers. 14(22). 5654–5654. 8 indexed citations
11.
Mel, Sanjay De, Nurulhuda Mustafa, Viknesvaran Selvarajan, et al.. (2022). T and NK cell lymphoma cell lines do not rely on ZAP-70 for survival. PLoS ONE. 17(1). e0261469–e0261469.
12.
Soekojo, Cinnie Yentia, et al.. (2022). Immunoglobulin M Monoclonal Gammopathies of Clinical Significance. Frontiers in Oncology. 12. 905484–905484. 5 indexed citations
13.
Jia, Yunlu, Jianbiao Zhou, Tze King Tan, et al.. (2021). Myeloma-specific superenhancers affect genes of biological and clinical relevance in myeloma. Blood Cancer Journal. 11(2). 32–32. 15 indexed citations
14.
Seneviratne, Suranjith L., et al.. (2020). Favipiravir in Covid-19. International Journal of Progressive Sciences and Technologies. 19(2). 143–145. 8 indexed citations
15.
Mel, Sanjay De, et al.. (2020). Triple positivity for nonstructural antigen 1, immunoglobulin M and immunoglobulin G is predictive of severe thrombocytopaenia related to dengue infection. Journal of Clinical Virology. 129. 104509–104509. 6 indexed citations
16.
Mel, Sanjay De, Susan Swee‐Shan Hue, Anand D. Jeyasekharan, Wee Joo Chng, & Siok‐Bian Ng. (2019). Molecular pathogenic pathways in extranodal NK/T cell lymphoma. Journal of Hematology & Oncology. 12(1). 33–33. 92 indexed citations
17.
Abid, Muhammad Bilal, Sanjay De Mel, Eng Soo Yap, et al.. (2018). Pegylated Filgrastim Versus Filgrastim for Stem Cell Mobilization in Multiple Myeloma After Novel Agent Induction. Clinical Lymphoma Myeloma & Leukemia. 18(3). 174–179. 4 indexed citations
18.
Mel, Sanjay De, Yunxin Chen, Melissa Ooi, et al.. (2018). Vinorelbine-Cyclophosphamide compared to cyclophosphamide in peripheral blood stem cell mobilization for multiple myeloma. Hematology/Oncology and Stem Cell Therapy. 11(4). 225–232. 3 indexed citations
19.
Abid, Muhammad Bilal, Sanjay De Mel, Muhammad Abbas Abid, Kong Bing Tan, & Wee Joo Chng. (2016). Bortezomib-related neuropathy may mask CNS relapse in multiple myeloma: A call for diligence. Cancer Biology & Therapy. 17(7). 723–726. 1 indexed citations
20.

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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