Abhinav Agrawal
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Epidemiology
- Co-authors
- Arunabh TalwarSeptimiu MurguUdit ChaddhaD. Kyle HogarthAnkur ModiFrank MorganAtul PalkarSonu Sahni
- Topics
- Tracheal and airway disorders (21 papers)Pleural and Pulmonary Diseases (8 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaCHEST JournalArteriosclerosis Thrombosis and Vascular Biology
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Abhinav Agrawal
94 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 128
- Pulmonary and Respiratory Medicine 564
- Surgery 376
- Endocrinology, Diabetes and Metabolism 205
- Genetics 180
- Epidemiology 144
Countries citing papers authored by Abhinav Agrawal
This map shows the geographic impact of Abhinav Agrawal'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 Abhinav Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhinav Agrawal more than expected).
Fields of papers citing papers by Abhinav Agrawal
This network shows the impact of papers produced by Abhinav Agrawal. 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 Abhinav Agrawal. The network helps show where Abhinav Agrawal may publish in the future.
Co-authorship network of co-authors of Abhinav Agrawal
This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Agrawal. A scholar is included among the top collaborators of Abhinav Agrawal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abhinav Agrawal. Abhinav Agrawal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | Audio Visual EMG & GSR Biofeedback Analysis for Effect of Spiritual Techniques on Human Behaviour and Psychic Challenges | 8 |
| 12 | 1 | |
| 13 | 34 | |
| 14 | 1 | |
| 15 | 153 | |
| 16 | Pancreatic Involvement in Critically ill Patients | 2 |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 12 | |
| 20 | 2 |
About Abhinav Agrawal
Abhinav Agrawal is a scholar working on Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine and Anesthesiology and Pain Medicine, having authored 105 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tracheal and airway disorders (21 papers), Pleural and Pulmonary Diseases (8 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (564 citations), Endocrinology, Diabetes and Metabolism (205 citations) and Surgery (376 citations). Abhinav Agrawal has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Arunabh Talwar, Septimiu Murgu, Udit Chaddha, D. Kyle Hogarth, Ankur Modi, Frank Morgan, Atul Palkar, Sonu Sahni, Viren Kaul and A. P. Zbar. Their work appears in journals such as SHILAP Revista de lepidopterología, CHEST Journal and Arteriosclerosis Thrombosis and Vascular Biology.
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.