Ram Ajore

1.6k total citations
14 papers, 187 citations indexed

About

Ram Ajore is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Ram Ajore has authored 14 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Hematology and 2 papers in Oncology. Recurrent topics in Ram Ajore's work include Epigenetics and DNA Methylation (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Acute Myeloid Leukemia Research (2 papers). Ram Ajore is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Acute Myeloid Leukemia Research (2 papers). Ram Ajore collaborates with scholars based in Sweden, United States and India. Ram Ajore's co-authors include Björn Nilsson, Urban Gullberg, Inge Olsson, Magnus Jöud, Benjamin L. Ebert, Marie McConkey, Bernd Boidol, Lalit M. Bharadwaj, Steven R. Ellis and Gordon Saksena and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Ram Ajore

14 papers receiving 185 citations

Peers

Ram Ajore
King Pan Ng Singapore
Ram Ajore
Citations per year, relative to Ram Ajore Ram Ajore (= 1×) peers King Pan Ng

Countries citing papers authored by Ram Ajore

Since Specialization
Citations

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

Fields of papers citing papers by Ram Ajore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ram Ajore

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

All Works

14 of 14 papers shown
1.
Ajore, Ram, Abhishek Niroula, Maroulio Pertesi, et al.. (2021). Accelerating target deconvolution for therapeutic antibody candidates using highly parallelized genome editing. Nature Communications. 12(1). 1277–1277. 4 indexed citations
2.
Niroula, Abhishek, Ram Ajore, & Björn Nilsson. (2019). MPRAscore: robust and non-parametric analysis of massively parallel reporter assays. Bioinformatics. 35(24). 5351–5353. 5 indexed citations
3.
Ali, Mina, Ram Ajore, Abhishek Niroula, et al.. (2018). The multiple myeloma risk allele at 5q15 lowers ELL2 expression and increases ribosomal gene expression. Nature Communications. 9(1). 1649–1649. 14 indexed citations
4.
Ajore, Ram, David M. Raiser, Marie McConkey, et al.. (2017). Deletion of ribosomal protein genes is a common vulnerability in human cancer, especially in concert with TP 53 mutations. EMBO Molecular Medicine. 9(4). 498–507. 75 indexed citations
5.
Jöud, Magnus, Ram Ajore, Sunitha Vege, et al.. (2017). SMIM1 variants rs1175550 and rs143702418 independently modulate Vel blood group antigen expression. Scientific Reports. 7(1). 40451–40451. 17 indexed citations
6.
Ajore, Ram, David M. Raiser, Marie McConkey, et al.. (2017). Deletion of ribosomal protein genes is a common vulnerability in human cancer, especially in concert with. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
7.
Gullberg, Urban, et al.. (2015). Myeloid Translocation Gene-16 Co-Repressor Promotes Degradation of Hypoxia-Inducible Factor 1. PLoS ONE. 10(5). e0123725–e0123725. 10 indexed citations
8.
Sharoyko, Vladimir V., Peter Spégel, Urban Gullberg, et al.. (2013). The Transcriptional Co-Repressor Myeloid Translocation Gene 16 Inhibits Glycolysis and Stimulates Mitochondrial Respiration. PLoS ONE. 8(7). e68502–e68502. 15 indexed citations
9.
Ajore, Ram. (2013). Effect of Humidity on Structural Distortion and Conductance of DNA Nanowire. Lund University Publications (Lund University). 2(7). 2 indexed citations
10.
Ajore, Ram, et al.. (2012). The leukemia associated nuclear corepressor ETO homologue genes MTG16 and MTGR1 are regulated differently in hematopoietic cells. BMC Molecular Biology. 13(1). 11–11. 10 indexed citations
11.
Ajore, Ram, Rakesh Singh Dhanda, Urban Gullberg, & Inge Olsson. (2010). The leukemia associated ETO nuclear repressor gene is regulated by the GATA-1 transcription factor in erythroid/megakaryocytic cells. BMC Molecular Biology. 11(1). 38–38. 10 indexed citations
12.
Ajore, Ram, et al.. (2009). Cross-Linker Mediated Biofunctionalization of Single Wall Carbon Nanotubes with Glucose Oxidase. Lund University Publications (Lund University). 6 indexed citations
13.
Ajore, Ram, et al.. (2007). DNA immobilization chemical interference due to aggregates study by Dip and Drop approach. Journal of Biochemical and Biophysical Methods. 70(5). 779–785. 2 indexed citations
14.
Kaur, Harsimran, et al.. (2007). Covalent attachment of actin filaments to Tween 80 coated polystyrene beads for cargo transportation. Biosystems. 92(1). 69–75. 16 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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