Johanna Loomba
- Neurology top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Neurology top 10%
- Co-authors
- Stephen J. MonteithBinit ShahDiane HussRobert C. FrysingerMax WintermarkMohamad KhaledT. Jason DruzgalEyal Zadicario
- Topics
- Long-Term Effects of COVID-19 (7 papers)Machine Learning in Healthcare (6 papers)COVID-19 Clinical Research Studies (6 papers)
- Journals
- New England Journal of MedicineSHILAP Revista de lepidopterologíaNeurology
- Partner nations
- United StatesItalyGermany
In The Last Decade
Johanna Loomba
24 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Neurology 506
- Radiology, Nuclear Medicine and Imaging 505
- Biomedical Engineering 438
- Cellular and Molecular Neuroscience 187
- Neurology 74
Countries citing papers authored by Johanna Loomba
This map shows the geographic impact of Johanna Loomba'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 Johanna Loomba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johanna Loomba more than expected).
Fields of papers citing papers by Johanna Loomba
This network shows the impact of papers produced by Johanna Loomba. 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 Johanna Loomba. The network helps show where Johanna Loomba may publish in the future.
Co-authorship network of co-authors of Johanna Loomba
This figure shows the co-authorship network connecting the top 25 collaborators of Johanna Loomba. A scholar is included among the top collaborators of Johanna Loomba 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 Johanna Loomba. Johanna Loomba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 18 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 25 | |
| 8 | 5 | |
| 9 | 18 | |
| 10 | 6 | |
| 11 | Coding long COVID: characterizing a new disease through an ICD-10 lensbreakdown → | 84 |
| 12 | 0 | |
| 13 | 12 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 36 | |
| 18 | A Pilot Study of Focused Ultrasound Thalamotomy for Essential Tremorbreakdown → | 650 |
| 19 | 121 | |
| 20 | 2 |
About Johanna Loomba
Johanna Loomba is a scholar working on Applied Microbiology and Biotechnology, Health Information Management and Neurology, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (7 papers), Machine Learning in Healthcare (6 papers) and COVID-19 Clinical Research Studies (6 papers). The work is most often cited by research in Neurology (506 citations), Radiology, Nuclear Medicine and Imaging (505 citations) and Cellular and Molecular Neuroscience (187 citations). Johanna Loomba has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Stephen J. Monteith, Binit Shah, Diane Huss, Robert C. Frysinger, Max Wintermark, Mohamad Khaled, T. Jason Druzgal, Eyal Zadicario, Tiffini Voss and Scott A. Wylie. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Neurology.
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.