Danish Memon
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
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- RNA Research and Splicing 5
- RNA modifications and cancer 5
- Bioinformatics and Genomic Networks 3
- RNA and protein synthesis mechanisms 2
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Pedro Beltrão (7 shared papers)Martin L. Miller (3 shared papers)Michael B. Gill (2 shared papers)Evis Sala (1 shared paper)Jacob Ricca (1 shared paper)Kay J. Park (1 shared paper)Hebert Alberto Vargas (1 shared paper)Oliver Zivanovic (1 shared paper)
- Journals
- Cancers (2 papers)Molecular Systems Biology (2 papers)Scientific Reports (2 papers)Journal of Clinical Oncology (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United KingdomUnited StatesRussia
In The Last Decade
Danish Memon
23 papers receiving 805 citations
Danish Memon's Hit Papers
Peers
Comparison fields: 5 of 79
- Oncology 242
- Immunology 177
- Cancer Research 103
- Molecular Biology 375
- Reproductive Medicine 36
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 339 | |
| 2 | Towards a structurally resolved human protein interaction network Hit paper breakdown → | 2023 | 142 |
| 3 | 2018 | 58 | |
| 4 | 2022 | 56 | |
| 5 | 2014 | 42 | |
| 6 | 2022 | 33 | |
| 7 | 2016 | 27 | |
| 8 | 2012 | 25 | |
| 9 | 2023 | 14 | |
| 10 | 2020 | 12 | |
| 11 | 2015 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2025 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2018 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2022 | 2 | |
| 20 | 2025 | 2 |
About Danish Memon
Danish Memon is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Infectious Diseases and Surgery, having authored 26 papers that have together received 811 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA modifications and cancer (5 papers), Cancer Genomics and Diagnostics (3 papers), Bioinformatics and Genomic Networks (3 papers), Congenital Heart Disease Studies (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Oncology (242 citations), Immunology (177 citations), Cancer Research (103 citations), Molecular Biology (375 citations) and Reproductive Medicine (36 citations). Danish Memon has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include Pedro Beltrão, Martin L. Miller, Michael B. Gill, Evis Sala, Jacob Ricca, Kay J. Park, Hebert Alberto Vargas, Oliver Zivanovic, Dmitriy Zamarin and Taha Merghoub. Their work appears in journals such as Cancers, Molecular Systems Biology, Scientific Reports, Journal of Clinical Oncology and Clinical Cancer Research.
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.