Aayushi Uberoi

22 papers receiving 929 citations

Aayushi Uberoi's Hit Papers

Commensal microbiota regulates skin barrier function and repair via signaling through the aryl hydrocarbon receptor 2021 · 189 citations
1890+2+4Years since publication50100150200

Peers

Aayushi Uberoi
Comparison fields: 5 of 91
  • Rehabilitation 209
  • Dermatology 234
  • Occupational Therapy 66
  • Microbiology 62
  • Epidemiology 338
Replace Esperanza Welsh with:
Esperanza Welsh Mexico
Takashi Oono Japan
Tetsuya Koga Japan
Daniel T. MacLeod United States
Olivier Demaria Switzerland
Mark S. Wilke United States
Martina Bongartz Germany
Hannah Trøstrup Denmark
Leon Gilead Israel
Jôji Tada Japan
Aayushi Uberoi relative to Esperanza Welsh Mexico Esperanza Welsh's profile →
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Citations per year

Countries citing papers authored by Aayushi Uberoi

Since Specialization
Citations

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

Fields of papers citing papers by Aayushi Uberoi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aayushi Uberoi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aayushi Uberoi Line = papers co-authored together Aayushi Uberoi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Strain- and Species-Level Variation in the Microbiome of Diabetic Wounds Is Associated with Clinical Outcomes and Therapeutic Efficacy
Hit paper breakdown →
2019245
2
Commensal microbiota regulates skin barrier function and repair via signaling through the aryl hydrocarbon receptor
Hit paper breakdown →
2021189
3 201775
4 201666
5 201946
6 201745
7 201945
8 202032
9 201730
10 201829
11 202325
12 201721
13 202420
14 202119
15 201911
16 20239
17 20219
18 20238
19 20256
20 20242

About Aayushi Uberoi

Aayushi Uberoi is a scholar working on Epidemiology, Molecular Biology, Dermatology, Surgery and Rehabilitation, having authored 22 papers that have together received 936 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (11 papers), Dermatology and Skin Diseases (5 papers), Genital Health and Disease (5 papers), Gut microbiota and health (3 papers), Wound Healing and Treatments (3 papers), Genetic factors in colorectal cancer (2 papers), Virus-based gene therapy research (2 papers) and Diabetic Foot Ulcer Assessment and Management (2 papers). The work is most often cited by research in Rehabilitation (209 citations), Dermatology (234 citations), Occupational Therapy (66 citations), Microbiology (62 citations) and Epidemiology (338 citations). Aayushi Uberoi has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Paul F. Lambert, Elizabeth A. Grice, Joseph Horwinski, Sue E. Gardner, Ioana Soaita, Jacquelyn S. Meisel, Lindsay Kalan, Michael A. Loesche, Miranda Grace and Karl Münger. Their work appears in journals such as PLoS Pathogens, Journal of Investigative Dermatology, mBio, Cell Host & Microbe and Clinical Chemistry.

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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