Aditi Shah

921 citations
51 papers · 541 indexed · h-index 13
Topics
Treatment of Major Depression (9 papers)Inflammatory Bowel Disease (7 papers)Obstructive Sleep Apnea Research (6 papers)
Partner nations
United StatesCanadaIndia

In The Last Decade

Aditi Shah

38 papers receiving 525 citations

Peers

Aditi Shah
Comparison fields: 5 of 80
  • Neurology 277
  • Infectious Diseases 159
  • Clinical Psychology 134
  • Pulmonary and Respiratory Medicine 131
  • Critical Care and Intensive Care Medicine 73
Replace Shuai Zhao with:
Shuai Zhao China
Sanjeeva Onteddu United States
Stine Mogensen Denmark
Arman Shafiee Iran
Luis Vasconcello‐Castillo Chile
Krishna Nalleballe United States
Bita Hajian Belgium
Michael Hittle United States
Paul Balfanz Germany
Kevin Heath United States
Aditi Shah relative to Shuai Zhao China Shuai Zhao's profile →
Citations per field
00.5×2.9×
Shuai Zhao · 1×
Citations per year

Countries citing papers authored by Aditi Shah

Since Specialization
Citations

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

Fields of papers citing papers by Aditi Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditi Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Aditi Shah. A scholar is included among the top collaborators of Aditi 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 Aditi Shah. Aditi Shah 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 1
2 0
3 0
4 2
5 1
6 1
7 13
8 1
9 7
10 1
11 14
12 0
13 1
14 0
15 13
16 12
17 20
18 138
19 7
20
Revisiting S.C.P.A. 17-A: Guardianship for People with Intellectual and Developmental Disabilities
2

About Aditi Shah

Aditi Shah is a scholar working on Biological Psychiatry, Endocrine and Autonomic Systems and Experimental and Cognitive Psychology, having authored 51 papers that have together received 541 indexed citations. Recurring topics across this work include Treatment of Major Depression (9 papers), Inflammatory Bowel Disease (7 papers) and Obstructive Sleep Apnea Research (6 papers). The work is most often cited by research in Neurology (277 citations), Critical Care and Intensive Care Medicine (73 citations) and Infectious Diseases (159 citations). Aditi Shah has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Alyson W. Wong, James C. Johnston, Christopher J. Ryerson, Christopher Carlsten, Cameron Hague, Darra Murphy, Najib Ayas, Dominic Pilon, Maryia Zhdanava and Patrick Lefèbvre. Their work appears in journals such as Blood, Gastroenterology and CHEST Journal.

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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