Matloob Qureshi
Impact in
- Molecular Biology top 0.5%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Plant Gene Expression Analysis
- Photosynthetic Processes and Mechanisms
- Protein Structure and Dynamics
- Plant Science top 0.5%
- Plant Molecular Biology Research
Papers in
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- Advanced Proteomics Techniques and Applications 4
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- Scientific Computing and Data Management 1
- Co-authors
- Gustavo A SalazarROBERT FINNJaina MistryAlex BatemanSimon PotterErik L. L. SonnhammerLisanna PaladinLorna Richardson
- Journals
- Nucleic Acids Research (4 papers)Biochemistry (1 paper)Molecular and Biochemical Parasitology (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Matloob Qureshi
6 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 7.5k
- Plant Science 3.6k
- Endocrinology 430
- Horticulture 73
- Ecology 1.7k
Countries citing papers authored by Matloob Qureshi
This map shows the geographic impact of Matloob Qureshi'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 Matloob Qureshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matloob Qureshi more than expected).
Fields of papers citing papers by Matloob Qureshi
This network shows the impact of papers produced by Matloob Qureshi. 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 Matloob Qureshi. The network helps show where Matloob Qureshi may publish in the future.
Co-authors
The 25 scholars most cited alongside Matloob Qureshi, 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 | Pfam: The protein families database in 2021 Hit paper breakdown → | 2020 | 3780 |
| 2 | The Pfam protein families database in 2019 Hit paper breakdown → | 2018 | 3202 |
| 3 | 2017 | 137 | |
| 4 | The Pfam protein families database: towards a more sustainable future Hit paper breakdown → | 2015 | 4051 |
| 5 | 2005 | 41 | |
| 6 | 1997 | 7 |
About Matloob Qureshi
Matloob Qureshi is a scholar working on Spectroscopy, Information Systems and Management, Molecular Biology, Ecology and Genetics, having authored 6 papers that have together received 11.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Forensic and Genetic Research (1 paper), Scientific Computing and Data Management (1 paper), Machine Learning in Bioinformatics (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Molecular Biology (7.5k citations), Plant Science (3.6k citations), Endocrinology (430 citations), Horticulture (73 citations) and Ecology (1.7k citations). Matloob Qureshi has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Gustavo A Salazar, ROBERT FINN, Jaina Mistry, Alex Bateman, Simon Potter, Erik L. L. Sonnhammer, Lisanna Paladin, Lorna Richardson, Silvio C. E. Tosatto and Sean R. Eddy. Their work appears in journals such as Nucleic Acids Research, Biochemistry and Molecular and Biochemical Parasitology.
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.