Maria D’Souza
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Genetics top 5%
- Neurology top 10%
- Epidemiology
- Co-authors
- Rajnish SharmaAnupam MondalAbhinav JaiminiMadhavi TripathiAnil K. MishraDavid A. WilliamsRicha TrivediYi Gu
- Topics
- Medical Imaging Techniques and Applications (16 papers)Traumatic Brain Injury Research (10 papers)Glioma Diagnosis and Treatment (8 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaMolecular and Cellular Biology
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Maria D’Souza
62 papers receiving 972 citations
Peers
Comparison fields: 5 of 96
- Radiology, Nuclear Medicine and Imaging 368
- Molecular Biology 228
- Genetics 217
- Neurology 174
- Epidemiology 138
Countries citing papers authored by Maria D’Souza
This map shows the geographic impact of Maria D’Souza'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 Maria D’Souza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria D’Souza more than expected).
Fields of papers citing papers by Maria D’Souza
This network shows the impact of papers produced by Maria D’Souza. 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 Maria D’Souza. The network helps show where Maria D’Souza may publish in the future.
Co-authorship network of co-authors of Maria D’Souza
This figure shows the co-authorship network connecting the top 25 collaborators of Maria D’Souza. A scholar is included among the top collaborators of Maria D’Souza 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 Maria D’Souza. Maria D’Souza 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 | 7 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 20 | |
| 8 | 26 | |
| 9 | 55 | |
| 10 | 18F-FES PET-CT Scan Turns out a Problem Solving Modality in an ER Positive Metastatic Breast Cancer Patient | 1 |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 33 | |
| 14 | 22 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | UNUSUAL DIAGNOSIS OF VON HIPPEL LINDAU SYNDROME ON PET/CT – CASE REPORT AND BRIEF REVIEW OF LITERATURE | 1 |
| 19 | 7 | |
| 20 | 49 |
About Maria D’Souza
Maria D’Souza is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Neurology, having authored 66 papers that have together received 991 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (16 papers), Traumatic Brain Injury Research (10 papers) and Glioma Diagnosis and Treatment (8 papers). The work is most often cited by research in Genetics (217 citations), Radiology, Nuclear Medicine and Imaging (368 citations) and Neurology (174 citations). Maria D’Souza has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Rajnish Sharma, Anupam Mondal, Abhinav Jaimini, Madhavi Tripathi, Anil K. Mishra, David A. Williams, Richa Trivedi, Yi Gu, Rajendra P. Tripathi and Pawan Kumar. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Molecular and Cellular Biology.
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.