Luv Javia

908 citations
38 papers · 504 · h-index 12

Impact in

Papers in

Luv Javia

33 papers receiving 496 citations

Peers

Luv Javia
Comparison fields: 5 of 56
  • Otorhinolaryngology 51
  • Anesthesiology and Pain Medicine 41
  • Surgery 199
  • Immunology 99
  • Pulmonary and Respiratory Medicine 127
Replace Doriano Politi with:
Doriano Politi Italy
Martin Wai Pak China
H. Kutta Germany
Frank Agada United Kingdom
Tass Malik United Kingdom
Jeane de Fátima Correia‐Silva Brazil
F. Mouawad France
M. Gavid France
Ankmalika Gupta United States
Alessandro Pusateri Italy
Luv Javia relative to Doriano Politi Italy Doriano Politi's profile →
Citations per field
00.5×4.8×
Doriano Politi · 1×
Citations per year

Countries citing papers authored by Luv Javia

Since Specialization
Citations

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

Fields of papers citing papers by Luv Javia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luv Javia, 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 Luv Javia Line = papers co-authored together Luv Javia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003115
2 201270
3 201741
4 202039
5 200631
6 201624
7 201124
8 201822
9 201221
10 202214
11 201212
12 201911
13 201511
14 202110
15 20158
16 20247
17 20216
18 20206
19 20215
20 20155

About Luv Javia

Luv Javia is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine, Otorhinolaryngology and Genetics, having authored 38 papers that have together received 504 indexed citations. Recurring topics across this work include Tracheal and airway disorders (15 papers), Airway Management and Intubation Techniques (7 papers), Teratomas and Epidermoid Cysts (6 papers), Ear Surgery and Otitis Media (4 papers), Congenital Diaphragmatic Hernia Studies (4 papers), Surgical Simulation and Training (3 papers), Tumors and Oncological Cases (3 papers) and Congenital Ear and Nasal Anomalies (3 papers). The work is most often cited by research in Otorhinolaryngology (51 citations), Anesthesiology and Pain Medicine (41 citations), Surgery (199 citations), Immunology (99 citations) and Pulmonary and Respiratory Medicine (127 citations). Luv Javia has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Steven A. Rosenberg, Ellen S. Deutsch, Karen B. Zur, Maya G. Sardesaı, Michael J. Ruckenstein, Ian N. Jacobs, Kara K. Prickett, Stephanie Fuller, Matthew Harris and Jeffrey Cheng. Their work appears in journals such as International Journal of Pediatric Otorhinolaryngology, The Laryngoscope, Pediatric Anesthesia, Otolaryngologic Clinics of North America and Otolaryngology.

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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