Danish Memon
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Immunology top 2%
- interferon and immune responses
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 4
- Co-authors
- Pedro Beltrão (7 shared papers)Martin L. Miller (2 shared papers)Michael B. Gill (2 shared papers)Taha Merghoub (1 shared paper)Jason A. Konner (1 shared paper)Jacob M. Ricca (1 shared paper)Tyler Walther (1 shared paper)Carol A Aghajanian (1 shared paper)
- Journals
- Cell (2 papers)Scientific Reports (2 papers)Molecular Systems Biology (2 papers)Nature Biotechnology (2 papers)Nature (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Danish Memon
33 papers receiving 6.1k citations
Danish Memon's Hit Papers
Peers
Comparison fields: 5 of 141
- Infectious Diseases 2.9k
- Immunology 1.1k
- Biological Psychiatry 95
- Computational Theory and Mathematics 688
- Molecular Biology 2.5k
Countries citing papers authored by Danish Memon
This map shows the geographic impact of Danish Memon'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 Danish Memon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danish Memon more than expected).
Fields of papers citing papers by Danish Memon
This network shows the impact of papers produced by Danish Memon. 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 Danish Memon. The network helps show where Danish Memon may publish in the future.
Co-authors
The 25 scholars most cited alongside Danish Memon, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A SARS-CoV-2 protein interaction map reveals targets for drug repurposing Hit paper breakdown → | 2020 | 3391 |
| 2 | The Global Phosphorylation Landscape of SARS-CoV-2 Infection Hit paper breakdown → | 2020 | 784 |
| 3 | Comparative host-coronavirus protein interaction networks reveal pan-viral disease mechanisms Hit paper breakdown → | 2020 | 536 |
| 4 | 2017 | 394 | |
| 5 | 2021 | 261 | |
| 6 | 2020 | 172 | |
| 7 | Towards a structurally resolved human protein interaction network Hit paper breakdown → | 2023 | 153 |
| 8 | Clinical and molecular features of acquired resistance to immunotherapy in non-small cell lung cancer Hit paper breakdown → | 2024 | 120 |
| 9 | 2018 | 64 | |
| 10 | 2022 | 59 | |
| 11 | 2014 | 43 | |
| 12 | 2022 | 39 | |
| 13 | 2021 | 34 | |
| 14 | 2016 | 27 | |
| 15 | 2012 | 25 | |
| 16 | 2022 | 17 | |
| 17 | 2023 | 15 | |
| 18 | 2015 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2021 | 10 |
About Danish Memon
Danish Memon is a scholar working on Infectious Diseases, Immunology, Cancer Research, Molecular Biology and Computational Theory and Mathematics, having authored 34 papers that have together received 6.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers), Computational Drug Discovery Methods (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), RNA modifications and cancer (4 papers), Bioinformatics and Genomic Networks (4 papers), RNA Research and Splicing (4 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Infectious Diseases (2.9k citations), Immunology (1.1k citations), Biological Psychiatry (95 citations), Computational Theory and Mathematics (688 citations) and Molecular Biology (2.5k citations). Danish Memon has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Pedro Beltrão, Martin L. Miller, Michael B. Gill, Taha Merghoub, Jason A. Konner, Jacob M. Ricca, Tyler Walther, Carol A Aghajanian, Alexandra Snyder and Dmitriy Zamarin. Their work appears in journals such as Cell, Scientific Reports, Molecular Systems Biology, Nature Biotechnology and Nature.
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.