Pradyumna Shejwalkar
Pradyumna Shejwalkar publishes mostly in Oncology, Radiology, Nuclear Medicine and Imaging and Cancer Research, on topics such as Cancer Cells and Metastasis, Cancer Genomics and Diagnostics and AI in cancer detection.
- World rank
- #4,773,834 of 7,710,434 ranked researchers
- Rank in India
- #127,034 of 280,097
- Works
- 16
- Citations
- 23
- Citations per work
- 1.4
What does Pradyumna Shejwalkar research?
Pradyumna Shejwalkar's work is mostly in Medicine (51%), Biochemistry, Genetics and Molecular Biology (17%), Computer Science (11%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Health Sciences851.1%
- Medicine851.1%
- Everything else321.3%
- Life Sciences317.0%
- Physical Sciences210.6%
- Computer Science210.6%
- 1Oncology28% of their works
- 2Radiology, Nuclear Medicine and Imaging13% of their works
- 3Cancer Research11% of their works
- 4Artificial Intelligence11% of their works
- 5Pulmonary and Respiratory Medicine11% of their works
- 6Molecular Biology6% of their works
Research topics
Which keywords describe Pradyumna Shejwalkar's research?
The keywords of their largest research topics: Machine Learning, Cancer Stem Cells, Tumor Metastasis, Deep Learning, Feature Extraction, Medical Image Analysis, Cancer Genomics and Computer-Aided Detection.
- PD-1 and PD-L1
- Leukemia Classification
- High-Content Screening
- Bioimage Analysis
- Radiomics
- Medical Imaging
- Computer-Aided Detection
- Medical Image Analysis
- Deep Learning
- Cancer Stem Cells
- Machine Learning
- Tumor Metastasis
- Feature Extraction
- Cancer Genomics
- Histopathology Images
- Mutational Signatures
- Image Processing
- Glioblastoma
- Immune Checkpoint Blockade
- Malaria Parasite Detection
- Temozolomide
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 21 words, with their numbers
- Machine Learning144 topics
- Cancer Stem Cells91 topic
- Tumor Metastasis91 topic
- Deep Learning72 topics
- Feature Extraction72 topics
- Medical Image Analysis72 topics
- Cancer Genomics51 topic
- Computer-Aided Detection51 topic
- Histopathology Images51 topic
- Medical Imaging51 topic
- Mutational Signatures51 topic
- Radiomics51 topic
- Image Processing42 topics
- Bioimage Analysis21 topic
- Glioblastoma21 topic
- High-Content Screening21 topic
- Immune Checkpoint Blockade21 topic
- Leukemia Classification21 topic
- Malaria Parasite Detection21 topic
- PD-1 and PD-L121 topic
- Temozolomide21 topic
Where does Pradyumna Shejwalkar work?
Pradyumna Shejwalkar's main affiliation in the publication record is Datar Cancer Genetics (India), India.
How many publications and citations does Pradyumna Shejwalkar have?
OpenAlex counts 16 works and 23 citations for Pradyumna Shejwalkar, an h-index of 2, ranking #4,773,834 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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