Sangeeta Taneja

645 citations
26 papers · 490 indexed · h-index 13

Sangeeta Taneja

26 papers receiving 485 citations

Peers

Sangeeta Taneja
Comparison fields: 5 of 57
  • Radiology, Nuclear Medicine and Imaging 341
  • Genetics 124
  • Cancer Research 59
  • Pulmonary and Respiratory Medicine 92
  • Rheumatology 29
Replace Ioana Molnar with:
Ioana Molnar France
Ralf Ketter Germany
Ayca Muftuler Løndalen Norway
Chan Woo Wee South Korea
M Slavík Czechia
Amit Singnurkar Canada
Spyridon Tsiouris Greece
Sussan J. Salas United States
Edward Kachur Canada
Salmaan Ahmed United States
Sangeeta Taneja relative to Ioana Molnar France Ioana Molnar's profile →
Citations per field
00.5×10×15×20×23.5×
Ioana Molnar · 1×
Citations per year

Countries citing papers authored by Sangeeta Taneja

Since Specialization
Citations

This map shows the geographic impact of Sangeeta Taneja'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 Sangeeta Taneja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sangeeta Taneja more than expected).

Fields of papers citing papers by Sangeeta Taneja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sangeeta Taneja. 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 Sangeeta Taneja. The network helps show where Sangeeta Taneja may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sangeeta Taneja, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sangeeta Taneja Line = papers co-authored together Sangeeta Taneja links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20237
2 20224
3 202124
4 20188
5 201714
6 20179
7 201730
8 201655
9 201641
10 201616
11 201464
12 201410
13 201414
14 20143
15 20125
16 20114
17 20104
18 201013
19 200831
20 199644

About Sangeeta Taneja

Sangeeta Taneja is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Orthopedics and Sports Medicine, Rheumatology and Pathology and Forensic Medicine, having authored 26 papers that have together received 490 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (10 papers), MRI in cancer diagnosis (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Glioma Diagnosis and Treatment (5 papers), Advanced MRI Techniques and Applications (5 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Breast Lesions and Carcinomas (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (341 citations), Genetics (124 citations), Cancer Research (59 citations), Pulmonary and Respiratory Medicine (92 citations) and Rheumatology (29 citations). Sangeeta Taneja has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Amarnath Jena, Abhishek Jha, Reema Goel, Leslie J. Miller, Moris Angulo, Donald B. Price, Rajesh Taneja, Anil K. Mishra, Puja Panwar Hazari and Maria D’Souza. Their work appears in journals such as European Journal of Radiology, Clinical Radiology, Journal of Magnetic Resonance Imaging, British Journal of Radiology and Skeletal 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.

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