Deepa Danan

641 citations
26 papers · 441 · h-index 11

Impact in

Papers in

    • Reconstructive Surgery and Microvascular Techniques 4
    • Reconstructive Facial Surgery Techniques 2
    • Orthopedic Surgery and Rehabilitation 1
    • Head and Neck Cancer Studies 4

Deepa Danan

24 papers receiving 434 citations

Peers

Deepa Danan
Comparison fields: 5 of 60
  • Otorhinolaryngology 54
  • Genetics 53
  • Psychiatry and Mental health 53
  • Surgery 117
  • Oncology 67
Replace Shaheryar F. Ansari with:
Shaheryar F. Ansari United States
Thomas F. Rahlfs United States
Kristijonas Milinis United Kingdom
Saeed Fakhran United States
Jiann‐Chyun Lin Taiwan
I‐Chan Chiang Taiwan
Katrina S. Firlik United States
Smruti Patel United States
Friso de Vries Netherlands
Aislyn C. DiRisio United States
Deepa Danan relative to Shaheryar F. Ansari United States Shaheryar F. Ansari's profile →
Citations per field
00.5×4.2×
Shaheryar F. Ansari · 1×
Citations per year

Countries citing papers authored by Deepa Danan

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Danan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201696
2 200762
3 201058
4 201446
5 201931
6 200428
7 202021
8 201719
9 202018
10 200813
11 201811
12 20199
13 20146
14 20234
15 20194
16 20202
17 20202
18 20232
19 20222
20 20232

About Deepa Danan

Deepa Danan is a scholar working on Surgery, Otorhinolaryngology, Genetics, Pulmonary and Respiratory Medicine and Oncology, having authored 26 papers that have together received 441 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (4 papers), Reconstructive Surgery and Microvascular Techniques (4 papers), Reconstructive Facial Surgery Techniques (2 papers), Epilepsy research and treatment (2 papers), Glioma Diagnosis and Treatment (2 papers), Orthopedic Surgery and Rehabilitation (1 paper), Foreign Body Medical Cases (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Otorhinolaryngology (54 citations), Genetics (53 citations), Psychiatry and Mental health (53 citations), Surgery (117 citations) and Oncology (67 citations). Deepa Danan has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Subramoniam Madhusoodanan, David C. Shonka, Mark J. Jameson, Mark E. Smolkin, Mark Opler, Abhιshek Sinha, Jessica Gordon, Peter T. Dziegielewski, Nikole Varhegyi and Ronald Brenner. Their work appears in journals such as Head & Neck, The Laryngoscope, Otolaryngology, JAMA Otolaryngology–Head & Neck Surgery and Expert Review of Neurotherapeutics.

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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