Deepa Vasireddy

675 citations
25 papers · 443 · h-index 8

Impact in

Papers in

    • Genital Health and Disease 2
    • SARS-CoV-2 and COVID-19 Research 4
    • COVID-19 Clinical Research Studies 4

Deepa Vasireddy

23 papers receiving 433 citations

Peers

Deepa Vasireddy
Comparison fields: 5 of 89
  • Infectious Diseases 193
  • Modeling and Simulation 38
  • Periodontics 35
  • Health 47
  • General Dentistry 7
Replace Nour Chams with:
Nour Chams United States
Bianca Laura Cinicola Italy
Zeinab Mohseni Afshar Iran
Karen B. Jacobson United States
Paavani Atluri United States
Han Wool Kim South Korea
Win Mar Kyaw Singapore
Susan Ahern Ireland
Maria Cássia Mendes-Corrêa Brazil
Hui Zheng China
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Citations per field
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Citations per year

Countries citing papers authored by Deepa Vasireddy

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Vasireddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Deepa Vasireddy, 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 Vasireddy Line = papers co-authored together Deepa Vasireddy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021138
2 202160
3 202154
4 202147
5 202131
6
A case series of vestibular symptoms in positive or suspected COVID-19 patients.
202129
7 202118
8 20217
9 20217
10 20217
11 20147
12 20216
13 20216
14 20216
15 20205
16 20213
17 20143
18 20213
19 20212
20 20211

About Deepa Vasireddy

Deepa Vasireddy is a scholar working on Surgery, Infectious Diseases, Emergency Medical Services, Neurology and General Health Professions, having authored 25 papers that have together received 443 indexed citations. Recurring topics across this work include Global Health Workforce Issues (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (3 papers), Hepatitis B Virus Studies (2 papers), Genital Health and Disease (2 papers), Vaccine Coverage and Hesitancy (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Infectious Diseases (193 citations), Modeling and Simulation (38 citations), Periodontics (35 citations), Health (47 citations) and General Dentistry (7 citations). Deepa Vasireddy has collaborated with scholars based in United States, French Guiana and Zimbabwe. Frequent co-authors include Paavani Atluri, Gisha Mohan, Srikrishna V Malayala, Rachana Vanaparthy, Sumona Mondal, Shantanu Sur, Su Gülsün Berrak, Ioannis Koutroulis, Ramesh Adhikari and Panagiotis Kratimenos. Their work appears in journals such as Journal of Primary Care & Community Health, Journal of Clinical Medicine Research, Infezioni in Medicina, Paediatrics and International Child Health and Çocuk Enfeksiyon Dergisi/Journal of Pediatric Infection.

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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