Omar Qureshi
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
- Calcium signaling and nucleotide metabolism
-
- Neuroscience of respiration and sleep
Papers in
-
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 2
- Co-authors
- Ruth D. Murrell‐Lagnado (4 shared papers)Alex Kopp (1 shared paper)Irfan A. Dhalla (1 shared paper)David N. Juurlink (1 shared paper)Marco L.A. Sivilotti (1 shared paper)Muhammad Mamdani (1 shared paper)Chang Guo (1 shared paper)Marianela Masin (1 shared paper)
- Journals
- Molecular Pharmacology (2 papers)PLoS ONE (2 papers)Scientific Reports (2 papers)Hepatology (1 paper)Biosensors and Bioelectronics (1 paper)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Omar Qureshi
26 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 114
- Physiology 482
- Endocrine and Autonomic Systems 120
- Anesthesiology and Pain Medicine 74
- Immunology 308
- Hepatology 103
Countries citing papers authored by Omar Qureshi
This map shows the geographic impact of Omar 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 Omar Qureshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omar Qureshi more than expected).
Fields of papers citing papers by Omar Qureshi
This network shows the impact of papers produced by Omar 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 Omar Qureshi. The network helps show where Omar Qureshi may publish in the future.
Co-authors
The 25 scholars most cited alongside Omar 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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 336 | |
| 2 | 2007 | 201 | |
| 3 | 2012 | 197 | |
| 4 | 2007 | 179 | |
| 5 | 2012 | 166 | |
| 6 | 2020 | 132 | |
| 7 | 2008 | 132 | |
| 8 | 2021 | 72 | |
| 9 | 2006 | 55 | |
| 10 | 2008 | 45 | |
| 11 | 2015 | 44 | |
| 12 | 2017 | 37 | |
| 13 | 2010 | 35 | |
| 14 | 2017 | 30 | |
| 15 | 2019 | 29 | |
| 16 | 2016 | 18 | |
| 17 | 2016 | 14 | |
| 18 | 2017 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2017 | 6 |
About Omar Qureshi
Omar Qureshi is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Epidemiology and Physiology, having authored 26 papers that have together received 1.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Adenosine and Purinergic Signaling (4 papers), T-cell and B-cell Immunology (4 papers), Calcium signaling and nucleotide metabolism (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Immune Cell Function and Interaction (2 papers), Connective tissue disorders research (2 papers) and Religion, Spirituality, and Psychology (2 papers). The work is most often cited by research in Physiology (482 citations), Endocrine and Autonomic Systems (120 citations), Anesthesiology and Pain Medicine (74 citations), Immunology (308 citations) and Hepatology (103 citations). Omar Qureshi has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Ruth D. Murrell‐Lagnado, Alex Kopp, Irfan A. Dhalla, David N. Juurlink, Marco L.A. Sivilotti, Muhammad Mamdani, Chang Guo, Marianela Masin, Fabian Junker and John Gordon. Their work appears in journals such as Molecular Pharmacology, PLoS ONE, Scientific Reports, Hepatology and Biosensors and Bioelectronics.
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.