Shashank Rohatagi
- Cardiology and Cardiovascular Medicine top 2%
- Physiology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Internal Medicine top 1%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Daniel E. SalazarHartmut DerendorfGünther HochhausH MöllmannJürgen BarthHelen KastrissiosIndravadan PatelJeanne Mendell
- Topics
- Asthma and respiratory diseases (24 papers)Inhalation and Respiratory Drug Delivery (21 papers)Pharmacogenetics and Drug Metabolism (11 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Shashank Rohatagi
83 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 125
- Cardiology and Cardiovascular Medicine 706
- Physiology 623
- Pulmonary and Respiratory Medicine 587
- Internal Medicine 326
- Endocrinology, Diabetes and Metabolism 240
Countries citing papers authored by Shashank Rohatagi
This map shows the geographic impact of Shashank Rohatagi'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 Shashank Rohatagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shashank Rohatagi more than expected).
Fields of papers citing papers by Shashank Rohatagi
This network shows the impact of papers produced by Shashank Rohatagi. 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 Shashank Rohatagi. The network helps show where Shashank Rohatagi may publish in the future.
Co-authorship network of co-authors of Shashank Rohatagi
This figure shows the co-authorship network connecting the top 25 collaborators of Shashank Rohatagi. A scholar is included among the top collaborators of Shashank Rohatagi 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 Shashank Rohatagi. Shashank Rohatagi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 8 | |
| 3 | 8 | |
| 4 | 41 | |
| 5 | 4 | |
| 6 | 260 | |
| 7 | 38 | |
| 8 | 66 | |
| 9 | 5 | |
| 10 | 25 | |
| 11 | 22 | |
| 12 | 34 | |
| 13 | 13 | |
| 14 | 13 | |
| 15 | 2 | |
| 16 | 30 | |
| 17 | 46 | |
| 18 | 9 | |
| 19 | 50 | |
| 20 | 97 |
About Shashank Rohatagi
Shashank Rohatagi is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 83 papers that have together received 2.2k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (24 papers), Inhalation and Respiratory Drug Delivery (21 papers) and Pharmacogenetics and Drug Metabolism (11 papers). The work is most often cited by research in Internal Medicine (326 citations), Cardiology and Cardiovascular Medicine (706 citations) and Immunology and Allergy (170 citations). Shashank Rohatagi has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Daniel E. Salazar, Hartmut Derendorf, Günther Hochhaus, H Möllmann, Jürgen Barth, Helen Kastrissios, Indravadan Patel, Jeanne Mendell, Jeffrey S. Barrett and Satoshi Kunitada. Their work appears in journals such as Blood, CHEST Journal and Journal of Allergy and Clinical Immunology.
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.