Mudit Agarwal
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- Occupational Health and Safety Research
Papers in
- Surgery 6
- Muscle and Compartmental Disorders 2
-
- COVID-19 Clinical Research Studies 3
- Co-authors
- Carl E. Stafstrom (1 shared paper)Michael V. Johnston (1 shared paper)Pramod Kumar Pisharady (1 shared paper)Umesh Kumar Singh (1 shared paper)Suprakash Gupta (1 shared paper)Deepika C Khakha (1 shared paper)S Mahajan (1 shared paper)Somesh Gupta (1 shared paper)
- Journals
- Frontiers in Pharmacology (1 paper)Expert Review of Anti-infective Therapy (1 paper)Frontiers in Immunology (1 paper)Epidemiology and Infection (1 paper)The Journal of Laryngology & Otology (1 paper)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Mudit Agarwal
25 papers receiving 301 citations
Peers
Comparison fields: 5 of 93
- Modeling and Simulation 40
- Radiological and Ultrasound Technology 33
- Medical Laboratory Technology 9
- Statistics, Probability and Uncertainty 28
- Otorhinolaryngology 15
Countries citing papers authored by Mudit Agarwal
This map shows the geographic impact of Mudit Agarwal'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 Mudit Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mudit Agarwal more than expected).
Fields of papers citing papers by Mudit Agarwal
This network shows the impact of papers produced by Mudit Agarwal. 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 Mudit Agarwal. The network helps show where Mudit Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Mudit Agarwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 56 | |
| 2 | 2020 | 55 | |
| 3 | 2019 | 47 | |
| 4 | 2016 | 43 | |
| 5 | 2022 | 23 | |
| 6 | 2019 | 17 | |
| 7 | 2017 | 13 | |
| 8 | 2020 | 10 | |
| 9 | 2020 | 9 | |
| 10 | 2020 | 8 | |
| 11 | 1998 | 8 | |
| 12 | 1997 | 6 | |
| 13 | The Clinical Characteristics of Coinfection of COVID19 and Influenza A Viruses - A Case Series. | 2021 | 3 |
| 14 | 2022 | 2 | |
| 15 | 1980 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2021 | 1 |
About Mudit Agarwal
Mudit Agarwal is a scholar working on Surgery, Infectious Diseases, Epidemiology, Otorhinolaryngology and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 314 indexed citations. Recurring topics across this work include Bone Tumor Diagnosis and Treatments (4 papers), COVID-19 Clinical Research Studies (3 papers), Sarcoma Diagnosis and Treatment (3 papers), COVID-19 epidemiological studies (2 papers), Muscle and Compartmental Disorders (2 papers), Head and Neck Cancer Studies (2 papers), Sinusitis and nasal conditions (2 papers) and Vestibular and auditory disorders (2 papers). The work is most often cited by research in Modeling and Simulation (40 citations), Radiological and Ultrasound Technology (33 citations), Medical Laboratory Technology (9 citations), Statistics, Probability and Uncertainty (28 citations) and Otorhinolaryngology (15 citations). Mudit Agarwal has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Carl E. Stafstrom, Michael V. Johnston, Pramod Kumar Pisharady, Umesh Kumar Singh, Suprakash Gupta, Deepika C Khakha, S Mahajan, Somesh Gupta, Mehak Arora and Ayush Lohiya. Their work appears in journals such as Frontiers in Pharmacology, Expert Review of Anti-infective Therapy, Frontiers in Immunology, Epidemiology and Infection and The Journal of Laryngology & Otology.
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.