Pooja Mathur
- Critical Care and Intensive Care Medicine top 5%
- Anesthesiology and Pain Medicine top 5%
- Developmental Neuroscience top 5%
- Cardiology and Cardiovascular Medicine
- Surgery
- Co-authors
- Balachundhar SubramaniamValerie Banner‐GoodspeedEdward R. MarcantonioDaniel TalmorSenthil PackiasabapathyPuja ShankarAriel MuellerMelissa Patxot
- Topics
- Intensive Care Unit Cognitive Disorders (3 papers)Anesthesia and Neurotoxicity Research (3 papers)Hemodynamic Monitoring and Therapy (3 papers)
- Cited by
- Critical Care and Intensive Care MedicineDevelopmental NeuroscienceAnesthesiology and Pain Medicine
- Journals
- JAMAAnesthesia & AnalgesiaBMJ Open
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Pooja Mathur
10 papers receiving 253 citations
Peers
Comparison fields: 5 of 51
- Critical Care and Intensive Care Medicine 144
- Anesthesiology and Pain Medicine 135
- Developmental Neuroscience 103
- Cardiology and Cardiovascular Medicine 95
- Surgery 53
Countries citing papers authored by Pooja Mathur
This map shows the geographic impact of Pooja Mathur'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 Pooja Mathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pooja Mathur more than expected).
Fields of papers citing papers by Pooja Mathur
This network shows the impact of papers produced by Pooja Mathur. 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 Pooja Mathur. The network helps show where Pooja Mathur may publish in the future.
Co-authorship network of co-authors of Pooja Mathur
This figure shows the co-authorship network connecting the top 25 collaborators of Pooja Mathur. A scholar is included among the top collaborators of Pooja Mathur based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pooja Mathur. Pooja Mathur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 198 | |
| 7 | 16 | |
| 8 | 9 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 4 |
About Pooja Mathur
Pooja Mathur is a scholar working on Developmental Neuroscience, Critical Care and Intensive Care Medicine and Anesthesiology and Pain Medicine, having authored 11 papers that have together received 256 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (3 papers), Anesthesia and Neurotoxicity Research (3 papers) and Hemodynamic Monitoring and Therapy (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (144 citations), Developmental Neuroscience (103 citations) and Anesthesiology and Pain Medicine (135 citations). Pooja Mathur has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Balachundhar Subramaniam, Valerie Banner‐Goodspeed, Edward R. Marcantonio, Daniel Talmor, Senthil Packiasabapathy, Puja Shankar, Ariel Mueller, Melissa Patxot, Brian O’Gara and Shahzad Shaefi. Their work appears in journals such as JAMA, Anesthesia & Analgesia and BMJ Open.
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.