Deeksha Munnur
Impact in
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
- Oncology top 10%
- PARP inhibition in cancer therapy
Papers in
-
- DNA Repair Mechanisms 6
- DNA and Nucleic Acid Chemistry 4
- RNA Interference and Gene Delivery 3
- Advanced biosensing and bioanalysis techniques 3
- Oncology 8
- PARP inhibition in cancer therapy 6
- Co-authors
- Ivan Ahel (6 shared papers)Sumana Sanyal (4 shared papers)Andreja Mikoč (3 shared papers)Shozeb Haider (3 shared papers)Stephen Neidle (3 shared papers)Mekala Gunaratnam (2 shared papers)Tiaan Heunis (1 shared paper)Edward Bartlett (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)FEBS Journal (1 paper)Biochemical Society Transactions (1 paper)Cell Reports (1 paper)Nature Communications (1 paper)
- Partner nations
- United KingdomUnited StatesCroatia
In The Last Decade
Deeksha Munnur
15 papers receiving 792 citations
Peers
Comparison fields: 5 of 75
- Physiology 82
- Oncology 347
- Immunology 214
- Molecular Biology 460
- Infectious Diseases 106
Countries citing papers authored by Deeksha Munnur
This map shows the geographic impact of Deeksha Munnur'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 Deeksha Munnur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deeksha Munnur more than expected).
Fields of papers citing papers by Deeksha Munnur
This network shows the impact of papers produced by Deeksha Munnur. 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 Deeksha Munnur. The network helps show where Deeksha Munnur may publish in the future.
Co-authors
The 25 scholars most cited alongside Deeksha Munnur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 134 | |
| 2 | 2019 | 125 | |
| 3 | 2008 | 118 | |
| 4 | 2021 | 90 | |
| 5 | 2021 | 79 | |
| 6 | 2015 | 59 | |
| 7 | 2018 | 46 | |
| 8 | 2023 | 42 | |
| 9 | 2008 | 33 | |
| 10 | 2018 | 24 | |
| 11 | 2022 | 18 | |
| 12 | 2019 | 12 | |
| 13 | 2018 | 12 | |
| 14 | 2018 | 5 | |
| 15 | 2021 | 1 | |
| 16 | 2026 | 0 |
About Deeksha Munnur
Deeksha Munnur is a scholar working on Molecular Biology, Oncology, Immunology, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 798 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), PARP inhibition in cancer therapy (6 papers), DNA and Nucleic Acid Chemistry (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), RNA Interference and Gene Delivery (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), interferon and immune responses (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Physiology (82 citations), Oncology (347 citations), Immunology (214 citations), Molecular Biology (460 citations) and Infectious Diseases (106 citations). Deeksha Munnur has collaborated with scholars based in United Kingdom, United States and Croatia. Frequent co-authors include Ivan Ahel, Sumana Sanyal, Andreja Mikoč, Shozeb Haider, Stephen Neidle, Mekala Gunaratnam, Tiaan Heunis, Edward Bartlett, J.G.M. Rack and Petra Mikolčević. Their work appears in journals such as Nucleic Acids Research, FEBS Journal, Biochemical Society Transactions, Cell Reports and Nature Communications.
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.