Pallavi Tiwari
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pulmonary and Respiratory Medicine top 5%
- Genetics top 2%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Co-authors
- Anant MadabhushiPrateek PrasannaNathaniel BramanDonna PlechaHannah GilmoreMaryam EtesamiChristina DubchukNiha Beig
- Topics
- Radiomics and Machine Learning in Medical Imaging (48 papers)Glioma Diagnosis and Treatment (28 papers)AI in cancer detection (14 papers)
- Journals
- PLoS ONEScientific ReportsRadiology
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
Pallavi Tiwari
64 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Radiology, Nuclear Medicine and Imaging 1.8k
- Pulmonary and Respiratory Medicine 661
- Genetics 537
- Artificial Intelligence 416
- Biomedical Engineering 409
Countries citing papers authored by Pallavi Tiwari
This map shows the geographic impact of Pallavi Tiwari'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 Pallavi Tiwari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pallavi Tiwari more than expected).
Fields of papers citing papers by Pallavi Tiwari
This network shows the impact of papers produced by Pallavi Tiwari. 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 Pallavi Tiwari. The network helps show where Pallavi Tiwari may publish in the future.
Co-authorship network of co-authors of Pallavi Tiwari
This figure shows the co-authorship network connecting the top 25 collaborators of Pallavi Tiwari. A scholar is included among the top collaborators of Pallavi Tiwari 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 Pallavi Tiwari. Pallavi Tiwari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 13 | |
| 9 | 15 | |
| 10 | 49 | |
| 11 | 92 | |
| 12 | 28 | |
| 13 | 3 | |
| 14 | 19 | |
| 15 | 238 | |
| 16 | 74 | |
| 17 | Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRIbreakdown → | 479 |
| 18 | 84 | |
| 19 | 108 | |
| 20 | 14 |
About Pallavi Tiwari
Pallavi Tiwari is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 71 papers that have together received 2.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (48 papers), Glioma Diagnosis and Treatment (28 papers) and AI in cancer detection (14 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.8k citations), Genetics (537 citations) and Health Informatics (39 citations). Pallavi Tiwari has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Anant Madabhushi, Prateek Prasanna, Nathaniel Braman, Donna Plecha, Hannah Gilmore, Maryam Etesami, Christina Dubchuk, Niha Beig, Kaustav Bera and Sasan Partovi. Their work appears in journals such as PLoS ONE, Scientific Reports and Radiology.
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.