Vikas Madan

3.3k total citations
33 papers, 1.4k citations indexed

About

Vikas Madan is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Vikas Madan has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Hematology and 10 papers in Immunology. Recurrent topics in Vikas Madan's work include Acute Myeloid Leukemia Research (7 papers), RNA Research and Splicing (7 papers) and Protein Degradation and Inhibitors (5 papers). Vikas Madan is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), RNA Research and Splicing (7 papers) and Protein Degradation and Inhibitors (5 papers). Vikas Madan collaborates with scholars based in Singapore, United States and Germany. Vikas Madan's co-authors include H. Phillip Koeffler, Hans-Reimer Rodewald, Hans Jörg Fehling, Carmen Blum, Susan Schlenner, Deepika Kanojia, Annette Tietz, Katrin Busch, Henry Yang and Manoj Garg and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Blood.

In The Last Decade

Vikas Madan

33 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikas Madan Singapore 18 795 438 308 228 197 33 1.4k
Phuong L. Doan United States 21 624 0.8× 288 0.7× 564 1.8× 199 0.9× 258 1.3× 57 1.4k
Yawara Kawano Japan 17 742 0.9× 237 0.5× 584 1.9× 216 0.9× 406 2.1× 67 1.2k
Michele S. Redell United States 18 562 0.7× 203 0.5× 315 1.0× 89 0.4× 402 2.0× 50 1.1k
Jorge A. Almenara United States 22 1.7k 2.1× 172 0.4× 286 0.9× 235 1.0× 454 2.3× 36 2.1k
Karen Dunn United Kingdom 13 801 1.0× 207 0.5× 510 1.7× 275 1.2× 180 0.9× 29 1.4k
Claire Fabre France 19 752 0.9× 234 0.5× 423 1.4× 222 1.0× 444 2.3× 43 1.3k
Alok R. Singh United States 16 494 0.6× 197 0.4× 78 0.3× 177 0.8× 216 1.1× 25 858
Mark A. Gregory United States 16 1.5k 1.9× 200 0.5× 335 1.1× 360 1.6× 567 2.9× 21 1.9k
Magdalena Bachvarova Canada 22 718 0.9× 229 0.5× 110 0.4× 255 1.1× 245 1.2× 35 1.2k
Cong Peng China 20 655 0.8× 157 0.4× 578 1.9× 139 0.6× 215 1.1× 51 1.3k

Countries citing papers authored by Vikas Madan

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Madan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikas Madan

This figure shows the co-authorship network connecting the top 25 collaborators of Vikas Madan. A scholar is included among the top collaborators of Vikas Madan 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 Vikas Madan. Vikas Madan 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.
Ding, Ling‐Wen, Henry Yang, Jonathan W. Said, et al.. (2023). Targeting RNA Exonuclease XRN1 Potentiates Efficacy of Cancer Immunotherapy. Cancer Research. 83(6). 922–938. 12 indexed citations
2.
Madan, Vikas, Pavithra Shyamsunder, Pushkar Dakle, et al.. (2023). Dissecting the role of SWI/SNF component ARID1B in steady-state hematopoiesis. Blood Advances. 7(21). 6553–6566. 2 indexed citations
3.
Dakle, Pushkar, Elina Pathak, Vikas Madan, et al.. (2023). Signalling inhibition by ponatinib disrupts productive alternative lengthening of telomeres (ALT). Nature Communications. 14(1). 1919–1919. 12 indexed citations
4.
Shyamsunder, Pavithra, Vikas Madan, Pushkar Dakle, et al.. (2022). THZ531 Induces a State of BRCAness in Multiple Myeloma Cells: Synthetic Lethality with Combination Treatment of THZ 531 with DNA Repair Inhibitors. International Journal of Molecular Sciences. 23(3). 1207–1207. 9 indexed citations
5.
Madan, Vikas, Pushkar Dakle, Lin Han, et al.. (2021). ZRSR1 co-operates with ZRSR2 in regulating splicing of U12-type introns in murine hematopoietic cells. Haematologica. 107(3). 680–689. 12 indexed citations
6.
Jeitany, Maya, Pushkar Dakle, Elina Pathak, et al.. (2020). Novel carfilzomib-based combinations as potential therapeutic strategies for liposarcomas. Cellular and Molecular Life Sciences. 78(4). 1837–1851. 12 indexed citations
7.
Madan, Vikas & H. Phillip Koeffler. (2020). Differentiation therapy of myeloid leukemia: four decades of development. Haematologica. 106(1). 1–13. 44 indexed citations
8.
Madan, Vikas, Jia Li, Siqin Zhou, et al.. (2019). Distinct and convergent consequences of splice factor mutations in myelodysplastic syndromes. American Journal of Hematology. 95(2). 133–143. 13 indexed citations
9.
Shyamsunder, Pavithra, Anand Mayakonda, Pushkar Dakle, et al.. (2019). Identification of a novel enhancer of CEBPE essential for granulocytic differentiation. Blood. 133(23). 2507–2517. 31 indexed citations
10.
Han, Lin, Vikas Madan, Anand Mayakonda, et al.. (2019). Chromatin remodeling mediated by ARID1A is indispensable for normal hematopoiesis in mice. Leukemia. 33(9). 2291–2305. 47 indexed citations
11.
Kanojia, Deepika, Pushkar Dakle, Anand Mayakonda, et al.. (2019). Identification of somatic alterations in lipoma using whole exome sequencing. Scientific Reports. 9(1). 14370–14370. 5 indexed citations
12.
Zhang, Yin, Anand Mayakonda, Vikas Madan, et al.. (2018). ARID1A and CEBPα cooperatively inhibit UCA1 transcription in breast cancer. Oncogene. 37(45). 5939–5951. 23 indexed citations
13.
Takao, Sumiko, Wenwen Chien, Vikas Madan, et al.. (2017). Targeting the vulnerability to NAD+ depletion in B-cell acute lymphoblastic leukemia. Leukemia. 32(3). 616–625. 30 indexed citations
14.
Suh, Hyung C., Touati Benoukraf, Pavithra Shyamsunder, et al.. (2017). LPS independent activation of the pro-inflammatory receptor Trem1 by C/EBPε in granulocytes. Scientific Reports. 7(1). 46440–46440. 9 indexed citations
15.
Tasdogan, Alpaslan, Julia Bausinger, Helmut Hofemeister, et al.. (2016). DNA Damage-Induced HSPC Malfunction Depends on ROS Accumulation Downstream of IFN-1 Signaling and Bid Mobilization. Cell stem cell. 19(6). 752–767. 41 indexed citations
16.
Madan, Vikas, Deepika Kanojia, Jia Li, et al.. (2015). Aberrant splicing of U12-type introns is the hallmark of ZRSR2 mutant myelodysplastic syndrome. Nature Communications. 6(1). 6042–6042. 173 indexed citations
17.
Garg, Manoj, Chakrabhavi Dhananjaya Mohan, Julian E. Fuchs, et al.. (2015). Synthesis of 1,2-benzisoxazole tethered 1,2,3-triazoles that exhibit anticancer activity in acute myeloid leukemia cell lines by inhibiting histone deacetylases, and inducing p21 and tubulin acetylation. Bioorganic & Medicinal Chemistry. 23(18). 6157–6165. 110 indexed citations
18.
Madan, Vikas, Deepika Kanojia, Jia Li, et al.. (2014). ZRSR2 Mutations Cause Dysregulated RNA Splicing in MDS. Blood. 124(21). 4609–4609. 3 indexed citations
19.
Gerloff, Dennis, Rebekka Grundler, Alexander Arthur Wurm, et al.. (2014). NF-κB/STAT5/miR-155 network targets PU.1 in FLT3-ITD-driven acute myeloid leukemia. Leukemia. 29(3). 535–547. 106 indexed citations
20.
Waskow, Claudia, et al.. (2009). Hematopoietic stem cell transplantation without irradiation. Nature Methods. 6(4). 267–269. 82 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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