Deepak Perumal
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
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- Cancer Cells and Metastasis
Papers in
-
- Protein Degradation and Inhibitors 6
- Microbial Metabolic Engineering and Bioproduction 4
- RNA Interference and Gene Delivery 2
- Hematology 17
- Multiple Myeloma Research and Treatments 17
- 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)Blood Advances (1 paper)Clinical Cancer Research (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesSingaporeIndia
In The Last Decade
Deepak Perumal
32 papers receiving 712 citations
Peers
Comparison fields: 5 of 79
- Hematology 139
- Oncology 187
- Molecular Biology 474
- Cancer Research 89
- Cell Biology 100
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 | 138 | |
| 2 | 2015 | 101 | |
| 3 | 2019 | 61 | |
| 4 | 2007 | 54 | |
| 5 | 2017 | 45 | |
| 6 | 2017 | 44 | |
| 7 | 2018 | 37 | |
| 8 | 2014 | 36 | |
| 9 | 2014 | 31 | |
| 10 | 2016 | 27 | |
| 11 | 2010 | 26 | |
| 12 | 2018 | 22 | |
| 13 | 2012 | 20 | |
| 14 | 2020 | 16 | |
| 15 | 2014 | 10 | |
| 16 | 2018 | 9 | |
| 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 727 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (17 papers), Protein Degradation and Inhibitors (6 papers), Immunotherapy and Immune Responses (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Cancer Genomics and Diagnostics (3 papers), Computational Drug Discovery Methods (3 papers), Cancer Mechanisms and Therapy (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Hematology (139 citations), Oncology (187 citations), Molecular Biology (474 citations), Cancer Research (89 citations) and Cell Biology (100 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, Blood Advances, Clinical Cancer Research and PLoS ONE.
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.