Apurva Shah

6.0k citations
19 papers · 227 indexed · h-index 11
Topics
Neurological disorders and treatments (8 papers)Advanced Neuroimaging Techniques and Applications (7 papers)Parkinson's Disease Mechanisms and Treatments (6 papers)
Partner nations
IndiaMexicoUnited States

In The Last Decade

Apurva Shah

18 papers receiving 220 citations

Peers

Apurva Shah
Comparison fields: 5 of 55
  • Neurology 99
  • Cognitive Neuroscience 80
  • Radiology, Nuclear Medicine and Imaging 73
  • Cellular and Molecular Neuroscience 54
  • Molecular Biology 38
Replace Xuan Vinh To with:
Xuan Vinh To Australia
Sneha Chenji Canada
Bryan Li Hong Kong
Emma M. Coomans Netherlands
Suresh E. Joel India
Vijayashankar Paramanandam India
Marcia Morita‐Sherman Brazil
Jessica Panman Netherlands
Duncan Street United Kingdom
Jan Oltmer United States
Apurva Shah relative to Xuan Vinh To Australia Xuan Vinh To's profile →
Citations per field
00.5×1.5×
Xuan Vinh To · 1×
Citations per year

Countries citing papers authored by Apurva Shah

Since Specialization
Citations

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

Fields of papers citing papers by Apurva Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Apurva Shah

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 10
2 0
3 2
4 13
5 2
6 13
7 8
8 27
9 2
10 18
11 18
12 10
13 10
14 12
15 36
16 10
17 27
18 2
19 7

About Apurva Shah

Apurva Shah is a scholar working on Neurology, Computer Graphics and Computer-Aided Design and Geology, having authored 19 papers that have together received 227 indexed citations. Recurring topics across this work include Neurological disorders and treatments (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Parkinson's Disease Mechanisms and Treatments (6 papers). The work is most often cited by research in Neurology (99 citations), Cognitive Neuroscience (80 citations) and Health Informatics (5 citations). Apurva Shah has collaborated with scholars based in India, Mexico and United States. Frequent co-authors include Madhura Ingalhalikar, Jitender Saini, Pramod Kumar Pal, Abhishek Lenka, Ravi Yadav, Shweta Prasad, Shantala Hegde, Shyam Sundar Arumugham, Eduardo A. Garza‐Villarreal and Chen Shen. Their work appears in journals such as Neurology, European Journal of Neuroscience and American Journal of Neuroradiology.

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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