Malvika Sudhakar

428 total citations
7 papers, 274 citations indexed

About

Malvika Sudhakar is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Malvika Sudhakar has authored 7 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cancer Research and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Malvika Sudhakar's work include Cancer Genomics and Diagnostics (3 papers), Gene expression and cancer classification (2 papers) and Autophagy in Disease and Therapy (1 paper). Malvika Sudhakar is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Gene expression and cancer classification (2 papers) and Autophagy in Disease and Therapy (1 paper). Malvika Sudhakar collaborates with scholars based in India, Denmark and Germany. Malvika Sudhakar's co-authors include Karthik Raman, Ulf W. Liebal, An Phan, Lars M. Blank, Raghunathan Rengaswamy, Mansi Mehta, Kuldeep Singh Sachdeva, Varadharajan Sundaramurthy, Amit Singh and Kedar Nath Natarajan and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Advances in cancer research.

In The Last Decade

Malvika Sudhakar

6 papers receiving 270 citations

Peers

Malvika Sudhakar
Rodell C. Barrientos United States
Helen L. Kotze United Kingdom
Abhinav Joshi United States
Kelly H. Telu United States
Robert Guttendorf United States
Rodell C. Barrientos United States
Malvika Sudhakar
Citations per year, relative to Malvika Sudhakar Malvika Sudhakar (= 1×) peers Rodell C. Barrientos

Countries citing papers authored by Malvika Sudhakar

Since Specialization
Citations

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

Fields of papers citing papers by Malvika Sudhakar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malvika Sudhakar

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

All Works

7 of 7 papers shown
1.
Sudhakar, Malvika, et al.. (2024). Crosstalk between tumor and microenvironment: Insights from spatial transcriptomics. Advances in cancer research. 163. 187–222. 2 indexed citations
2.
Philip, Philge, et al.. (2022). iCOMIC: a graphical interface-driven bioinformatics pipeline for analyzing cancer omics data. NAR Genomics and Bioinformatics. 4(3). lqac053–lqac053. 2 indexed citations
3.
Sudhakar, Malvika, Raghunathan Rengaswamy, & Karthik Raman. (2022). Multi-Omic Data Improve Prediction of Personalized Tumor Suppressors and Oncogenes. Frontiers in Genetics. 13. 854190–854190. 4 indexed citations
4.
Sudhakar, Malvika, Raghunathan Rengaswamy, & Karthik Raman. (2022). Novel ratio-metric features enable the identification of new driver genes across cancer types. Scientific Reports. 12(1). 5–5. 11 indexed citations
5.
Liebal, Ulf W., An Phan, Malvika Sudhakar, Karthik Raman, & Lars M. Blank. (2020). Machine Learning Applications for Mass Spectrometry-Based Metabolomics. Metabolites. 10(6). 243–243. 231 indexed citations
6.
Sachdeva, Kuldeep Singh, Malvika Sudhakar, Mansi Mehta, et al.. (2020). Mycobacterium tuberculosis (Mtb) lipid mediated lysosomal rewiring in infected macrophages modulates intracellular Mtb trafficking and survival. Journal of Biological Chemistry. 295(27). 9192–9210. 24 indexed citations
7.
Sudhakar, Malvika & C. V. Reddy. (2014). CREDIT EVALUATION MODEL OF LOAN PROPOSALS FOR BANKS USING DATA MINING TECHNIQUES.

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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