Danish Memon
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
-
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
-
- RNA Research and Splicing 5
- RNA modifications and cancer 5
- Bioinformatics and Genomic Networks 3
-
- Cancer Genomics and Diagnostics 4
- Cancer-related molecular mechanisms research 2
- Co-authors
- Pedro Beltrão (7 shared papers)Martin L. Miller (3 shared papers)Michael B. Gill (2 shared papers)Alejandro Jiménez-Sánchez (1 shared paper)Yanyun Li (1 shared paper)Kay J. Park (1 shared paper)Carol Aghajanian (1 shared paper)Harini Veeraraghavan (1 shared paper)
- Journals
- Scientific Reports (2 papers)Molecular Systems Biology (2 papers)Clinical Cancer Research (1 paper)Nature Structural & Molecular Biology (1 paper)npj Genomic Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Danish Memon
22 papers receiving 780 citations
Danish Memon's Hit Papers
Peers
Comparison fields: 5 of 84
- Oncology 282
- Immunology 194
- Cancer Research 119
- Molecular Biology 387
- Reproductive Medicine 45
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 334 | |
| 2 | Towards a structurally resolved human protein interaction network Hit paper breakdown → | 2023 | 134 |
| 3 | 2018 | 57 | |
| 4 | 2022 | 53 | |
| 5 | 2014 | 42 | |
| 6 | 2022 | 31 | |
| 7 | 2016 | 27 | |
| 8 | 2012 | 24 | |
| 9 | 2023 | 13 | |
| 10 | 2020 | 12 | |
| 11 | 2015 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2020 | 6 | |
| 15 | 2018 | 5 | |
| 16 | 2025 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 2 | |
| 20 | 2016 | 1 |
About Danish Memon
Danish Memon is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Infectious Diseases and Oncology, having authored 23 papers that have together received 785 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA modifications and cancer (5 papers), Cancer Genomics and Diagnostics (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lung Cancer Treatments and Mutations (3 papers), Bioinformatics and Genomic Networks (3 papers), Cancer-related molecular mechanisms research (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Oncology (282 citations), Immunology (194 citations), Cancer Research (119 citations), Molecular Biology (387 citations) and Reproductive Medicine (45 citations). Danish Memon has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Pedro Beltrão, Martin L. Miller, Michael B. Gill, Alejandro Jiménez-Sánchez, Yanyun Li, Kay J. Park, Carol Aghajanian, Harini Veeraraghavan, Taha Merghoub and Jacob Ricca. Their work appears in journals such as Scientific Reports, Molecular Systems Biology, Clinical Cancer Research, Nature Structural & Molecular Biology and npj Genomic Medicine.
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.