Sujata V. Ghate

1.3k citations
38 papers · 858 indexed · h-index 17
Topics
AI in cancer detection (20 papers)Digital Radiography and Breast Imaging (16 papers)Breast Lesions and Carcinomas (10 papers)

In The Last Decade

Sujata V. Ghate

35 papers receiving 842 citations

Peers

Sujata V. Ghate
Comparison fields: 5 of 80
  • Radiology, Nuclear Medicine and Imaging 521
  • Artificial Intelligence 402
  • Pulmonary and Respiratory Medicine 253
  • Pathology and Forensic Medicine 184
  • Oncology 137
Replace Luca Alessandro Carbonaro with:
Luca Alessandro Carbonaro Italy
Ralph Wynn United States
Beatriu Reig United States
Belinda Curpen Canada
Anabel M. Scaranelo Canada
Su Min Ha South Korea
Francesca Abbate Italy
Lara A. Hardesty United States
Rasha Kamal Egypt
Andrea Arieno United Kingdom
Sujata V. Ghate relative to Luca Alessandro Carbonaro Italy Luca Alessandro Carbonaro's profile →
Citations per field
00.5×1.5×2.0×
Luca Alessandro Carbonaro · 1×
Citations per year

Countries citing papers authored by Sujata V. Ghate

Since Specialization
Citations

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

Fields of papers citing papers by Sujata V. Ghate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sujata V. Ghate. 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 Sujata V. Ghate. The network helps show where Sujata V. Ghate may publish in the future.

Co-authorship network of co-authors of Sujata V. Ghate

This figure shows the co-authorship network connecting the top 25 collaborators of Sujata V. Ghate. A scholar is included among the top collaborators of Sujata V. Ghate 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 Sujata V. Ghate. Sujata V. Ghate is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 16
4 6
5 3
6 187
7 39
8 24
9 18
10 27
11 10
12 23
13 2
14 13
15 17
16 40
17 30
18 10
19 4
20 7

About Sujata V. Ghate

Sujata V. Ghate is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pathology and Forensic Medicine, having authored 38 papers that have together received 858 indexed citations. Recurring topics across this work include AI in cancer detection (20 papers), Digital Radiography and Breast Imaging (16 papers) and Breast Lesions and Carcinomas (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (521 citations), Health Informatics (19 citations) and Artificial Intelligence (402 citations). Sujata V. Ghate has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Jay A. Baker, Maciej A. Mazurowski, Ruth Walsh, Ashirbani Saha, Lars J. Grimm, Mary Scott Soo, Manisha Bahl, Michael R. Harowicz, Connie E. Kim and Joseph Y. Lo. Their work appears in journals such as Radiology, British Journal of Cancer and IEEE Transactions on Medical Imaging.

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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