Khalid Zuberi
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Molecular Biology top 2%
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
- RNA and protein synthesis mechanisms
Papers in
- Aging 1
-
- Bioinformatics and Genomic Networks 5
- Gene expression and cancer classification 4
- Microbial Metabolic Engineering and Bioproduction 4
- RNA modifications and cancer 2
- RNA and protein synthesis mechanisms 2
- RNA Research and Splicing 2
- Machine Learning in Bioinformatics 1
- Co-authors
- Quaid MorrisGary D. BaderJason MontojoMax FranzChristian LopesSylva L. DonaldsonGeorge WrightHarold Rodriguez
- Partner nations
- CanadaUnited States
In The Last Decade
Khalid Zuberi
8 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Cancer Research 1.0k
- Molecular Biology 3.6k
- Aging 53
- Immunology 620
- Pulmonary and Respiratory Medicine 869
Countries citing papers authored by Khalid Zuberi
This map shows the geographic impact of Khalid Zuberi'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 Khalid Zuberi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid Zuberi more than expected).
Fields of papers citing papers by Khalid Zuberi
This network shows the impact of papers produced by Khalid Zuberi. 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 Khalid Zuberi. The network helps show where Khalid Zuberi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Khalid Zuberi, 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 | 2018 | 37 | |
| 2 | GeneMANIA update 2018 Hit paper breakdown → | 2018 | 848 |
| 3 | 2014 | 35 | |
| 4 | 2013 | 297 | |
| 5 | 2013 | 21 | |
| 6 | The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function Hit paper breakdown → | 2010 | 3251 |
| 7 | 2010 | 444 | |
| 8 | 2010 | 473 |
About Khalid Zuberi
Khalid Zuberi is a scholar working on Aging, Molecular Biology, Cell Biology, Infectious Diseases and Organic Chemistry, having authored 8 papers that have together received 5.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), RNA modifications and cancer (2 papers), RNA and protein synthesis mechanisms (2 papers), RNA Research and Splicing (2 papers), Zebrafish Biomedical Research Applications (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Cancer Research (1.0k citations), Molecular Biology (3.6k citations), Aging (53 citations), Immunology (620 citations) and Pulmonary and Respiratory Medicine (869 citations). Khalid Zuberi has collaborated with scholars based in Canada and United States. Frequent co-authors include Quaid Morris, Gary D. Bader, Jason Montojo, Max Franz, Christian Lopes, Sylva L. Donaldson, George Wright, Harold Rodriguez, Sara Mostafavi and David Warde-Farley. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Development.
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.