Deepak Perumal
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
-
- Protein Degradation and Inhibitors
- Epigenetics and DNA Methylation
- Hedgehog Signaling Pathway Studies
Papers in
-
- Protein Degradation and Inhibitors 7
- Microbial Metabolic Engineering and Bioproduction 4
- Hematology 18
- Multiple Myeloma Research and Treatments 18
- Co-authors
- Srikumar Chellappan (5 shared papers)Namrata Bora-Singhal (3 shared papers)Jonathan V. Nguyen (3 shared papers)Domenico Coppola (2 shared papers)Courtney Schaal (2 shared papers)Meena Kishore Sakharkar (6 shared papers)Sandeep Singh (2 shared papers)Kishore R. Sakharkar (5 shared papers)
- Journals
- Blood (13 papers)Oncotarget (2 papers)Stem Cells (1 paper)Clinical Cancer Research (1 paper)Neoplasia (1 paper)
- Partner nations
- United StatesSingaporeIndia
In The Last Decade
Deepak Perumal
31 papers receiving 699 citations
Peers
Comparison fields: 5 of 81
- Hematology 140
- Molecular Biology 529
- Oncology 209
- Cancer Research 108
- Cell Biology 106
Countries citing papers authored by Deepak Perumal
This map shows the geographic impact of Deepak Perumal'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 Deepak Perumal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Perumal more than expected).
Fields of papers citing papers by Deepak Perumal
This network shows the impact of papers produced by Deepak Perumal. 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 Deepak Perumal. The network helps show where Deepak Perumal may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Perumal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 135 | |
| 2 | 2015 | 101 | |
| 3 | 2019 | 59 | |
| 4 | 2007 | 54 | |
| 5 | 2017 | 45 | |
| 6 | 2017 | 43 | |
| 7 | 2018 | 36 | |
| 8 | 2014 | 36 | |
| 9 | 2014 | 31 | |
| 10 | 2016 | 27 | |
| 11 | 2010 | 25 | |
| 12 | 2018 | 22 | |
| 13 | 2012 | 20 | |
| 14 | 2020 | 16 | |
| 15 | 2014 | 10 | |
| 16 | 2018 | 8 | |
| 17 | 2008 | 8 | |
| 18 | 2010 | 6 | |
| 19 | 2022 | 5 | |
| 20 | A Comparative Study of Metabolic Network Topology between a Pathogenic and a Non-Pathogenic Bacterium for Potential Drug Target Identification. | 2009 | 5 |
About Deepak Perumal
Deepak Perumal is a scholar working on Molecular Biology, Hematology, Immunology, Pathology and Forensic Medicine and Oncology, having authored 33 papers that have together received 714 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (18 papers), Protein Degradation and Inhibitors (7 papers), Immunotherapy and Immune Responses (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Computational Drug Discovery Methods (3 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer Mechanisms and Therapy (3 papers). The work is most often cited by research in Hematology (140 citations), Molecular Biology (529 citations), Oncology (209 citations), Cancer Research (108 citations) and Cell Biology (106 citations). Deepak Perumal has collaborated with scholars based in United States, Singapore and India. Frequent co-authors include Srikumar Chellappan, Namrata Bora-Singhal, Jonathan V. Nguyen, Domenico Coppola, Courtney Schaal, Meena Kishore Sakharkar, Sandeep Singh, Kishore R. Sakharkar, Samir Parekh and Chu Sing Lim. Their work appears in journals such as Blood, Oncotarget, Stem Cells, Clinical Cancer Research and Neoplasia.
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.