Aparna Singhal

1.1k citations
44 papers · 403 indexed · h-index 12
Topics
Intracerebral and Subarachnoid Hemorrhage Research (7 papers)MRI in cancer diagnosis (5 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
Journals
SHILAP Revista de lepidopterologíaNeurologyBMJ
Partner nations
United StatesIranIndia

In The Last Decade

Aparna Singhal

40 papers receiving 392 citations

Peers

Aparna Singhal
Comparison fields: 5 of 71
  • Radiology, Nuclear Medicine and Imaging 179
  • Epidemiology 88
  • Neurology 69
  • Surgery 57
  • Pulmonary and Respiratory Medicine 52
Replace Benjamin Y. M. Kwan with:
Benjamin Y. M. Kwan Canada
Maria Elena Laino Italy
Azar P. Dagher United States
Maggie Fung United States
Asthik Biswas United Kingdom
Masanori Nakajo Japan
Lingyun Zhao China
Laurence Abernethy United Kingdom
Sameh Tadros United States
Paul Habert France
Aparna Singhal relative to Benjamin Y. M. Kwan Canada Benjamin Y. M. Kwan's profile →
Citations per field
00.5×1.5×2.1×
Benjamin Y. M. Kwan · 1×
Citations per year

Countries citing papers authored by Aparna Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Aparna Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aparna Singhal

This figure shows the co-authorship network connecting the top 25 collaborators of Aparna Singhal. A scholar is included among the top collaborators of Aparna Singhal 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 Aparna Singhal. Aparna Singhal 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 17
4 6
5 2
6 2
7 17
8 17
9 21
10 4
11 1
12 9
13 4
14 11
15 6
16 29
17 9
18 27
19 28
20 5

About Aparna Singhal

Aparna Singhal is a scholar working on Research and Theory, Neurology and Health Informatics, having authored 44 papers that have together received 403 indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (7 papers), MRI in cancer diagnosis (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Health Informatics (19 citations), Radiology, Nuclear Medicine and Imaging (179 citations) and Hepatology (41 citations). Aparna Singhal has collaborated with scholars based in United States, Iran and India. Frequent co-authors include Houman Sotoudeh, Philip R. Chapman, Mayil S. Krishnam, J. Paul Finn, Omid Shafaat, Amir Hossein Sarrami, Derek G. Lohan, Zahra Saadatpour, M. Albert Thomas and Gerhard Laub. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and BMJ.

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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