Aayushee Jain

451 total citations
13 papers, 147 citations indexed

About

Aayushee Jain is a scholar working on Neurology, Clinical Psychology and Artificial Intelligence. According to data from OpenAlex, Aayushee Jain has authored 13 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Neurology, 3 papers in Clinical Psychology and 3 papers in Artificial Intelligence. Recurrent topics in Aayushee Jain's work include COVID-19 and Mental Health (3 papers), Machine Learning in Healthcare (3 papers) and Long-Term Effects of COVID-19 (3 papers). Aayushee Jain is often cited by papers focused on COVID-19 and Mental Health (3 papers), Machine Learning in Healthcare (3 papers) and Long-Term Effects of COVID-19 (3 papers). Aayushee Jain collaborates with scholars based in United States, France and Japan. Aayushee Jain's co-authors include M. Brandon Westover, Haoqi Sun, Pooja Sikka, Robert J. Thomas, Luis Paixão, Syed A. Quadri, Shibani S. Mukerji, Yuval Itan, Çiğdem Sevim Bayrak and Sahar F. Zafar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and The American Journal of Human Genetics.

In The Last Decade

Aayushee Jain

13 papers receiving 146 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aayushee Jain United States 8 31 29 26 22 18 13 147
Xi Su China 9 30 1.0× 15 0.5× 25 1.0× 6 0.3× 10 0.6× 27 208
Stevie van der Mierden Netherlands 9 26 0.8× 20 0.7× 16 0.6× 4 0.2× 5 0.3× 19 173
Xiaobo Guo China 11 67 2.2× 10 0.3× 52 2.0× 66 3.0× 7 0.4× 24 264
Bence Bozsik Hungary 7 10 0.3× 15 0.5× 53 2.0× 3 0.1× 19 1.1× 16 249
Javier Montoya Spain 8 27 0.9× 36 1.2× 9 0.3× 8 0.4× 8 0.4× 15 186
Zhijian Yang United States 6 30 1.0× 3 0.1× 26 1.0× 20 0.9× 27 1.5× 9 156
Prachi A. Patkee United Kingdom 9 49 1.6× 4 0.1× 35 1.3× 39 1.8× 18 1.0× 13 360
Shiyu He China 8 38 1.2× 22 0.8× 84 3.2× 8 0.4× 19 300
Collin J. Engstrom United States 5 173 5.6× 20 0.7× 11 0.4× 3 0.1× 18 1.0× 6 336

Countries citing papers authored by Aayushee Jain

Since Specialization
Citations

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

Fields of papers citing papers by Aayushee Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aayushee Jain

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

All Works

13 of 13 papers shown
1.
Sun, Haoqi, Syed A. Quadri, Daniel Jones, et al.. (2023). Automated detection of immune effector cell‐associated neurotoxicity syndrome via quantitative EEG. Annals of Clinical and Translational Neurology. 10(10). 1776–1789. 4 indexed citations
2.
Chwalisz, Bart K., et al.. (2023). COVID-19-induced headache in Boston and the vicinity. SHILAP Revista de lepidopterología. 3(2). 100148–100148. 2 indexed citations
3.
Wilcox, Douglas R., Ayush Noori, Colin Magdamo, et al.. (2023). Cognitive concerns are a risk factor for mortality in people with HIV and coronavirus disease 2019. AIDS. 37(10). 1565–1571. 1 indexed citations
4.
Ge, Wendong, Haitham Alabsi, Aayushee Jain, et al.. (2022). Identifying Patients With Delirium Based on Unstructured Clinical Notes: Observational Study. JMIR Formative Research. 6(6). e33834–e33834. 11 indexed citations
5.
Valizadeh, Navid, Haitham Alabsi, Syed A. Quadri, et al.. (2022). Classification of neurologic outcomes from medical notes using natural language processing. Expert Systems with Applications. 214. 119171–119171. 11 indexed citations
6.
Quadri, Syed A., Daniel Jones, Aayushee Jain, et al.. (2022). Forecasting immune effector cell-associated neurotoxicity syndrome after chimeric antigen receptor t-cell therapy. Journal for ImmunoTherapy of Cancer. 10(11). e005459–e005459. 24 indexed citations
7.
Zhang, Peng, Aurélie Cobat, Yoon Seung Lee, et al.. (2021). A computational approach for detecting physiological homogeneity in the midst of genetic heterogeneity. The American Journal of Human Genetics. 108(6). 1012–1025. 8 indexed citations
8.
Bayrak, Çiğdem Sevim, David Stein, Aayushee Jain, et al.. (2021). Identification of discriminative gene-level and protein-level features associated with pathogenic gain-of-function and loss-of-function variants. The American Journal of Human Genetics. 108(12). 2301–2318. 28 indexed citations
9.
Jing, Jin, Aayushee Jain, Shibani S. Mukerji, et al.. (2020). Clinical Electroencephalography Findings and Considerations in Hospitalized Patients With Coronavirus SARS-CoV-2. The Neurohospitalist. 11(3). 204–213. 12 indexed citations
10.
Fernandes, Marta, Haoqi Sun, Aayushee Jain, et al.. (2020). Classification of the Disposition of Patients Hospitalized with COVID-19: Reading Discharge Summaries Using Natural Language Processing. JMIR Medical Informatics. 9(2). e25457–e25457. 8 indexed citations
11.
Schidlowski, Laire, Aayushee Jain, Yiming Wu, et al.. (2020). Non-syndromic Oculocutaneous Albinism: Novel Genetic Variants and Clinical Follow Up of a Brazilian Pediatric Cohort. Frontiers in Genetics. 11. 397–397. 5 indexed citations
12.
Wu, Yiming, Aayushee Jain, Dalin Li, et al.. (2020). Mo1112 IDENTIFYING NOVEL HIGH-IMPACT RARE DISEASE-CAUSING MUTATIONS, GENES AND PATHWAYS IN EXOMES OF ASHKENAZI JEWISH INFLAMMATORY BOWEL DISEASE PATIENTS. Gastroenterology. 158(6). S–791. 1 indexed citations
13.
Paixão, Luis, Pooja Sikka, Haoqi Sun, et al.. (2019). Excess brain age in the sleep electroencephalogram predicts reduced life expectancy. Neurobiology of Aging. 88. 150–155. 32 indexed citations

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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