Rohit Loomba
About
In The Last Decade
Rohit Loomba
7 papers receiving 281 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Epidemiology 186
- Molecular Biology 166
- Physiology 80
- Hepatology 41
- Endocrinology, Diabetes and Metabolism 40
Countries citing papers authored by Rohit Loomba
This map shows the geographic impact of Rohit Loomba'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 Rohit Loomba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rohit Loomba more than expected).
Fields of papers citing papers by Rohit Loomba
This network shows the impact of papers produced by Rohit Loomba. 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 Rohit Loomba. The network helps show where Rohit Loomba may publish in the future.
Co-authorship network of co-authors of Rohit Loomba
This figure shows the co-authorship network connecting the top 25 collaborators of Rohit Loomba. A scholar is included among the top collaborators of Rohit Loomba 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 Rohit Loomba. Rohit Loomba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 7 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 18 | |
| 6 | 3 | |
| 7 | A Universal Gut-Microbiome-Derived Signature Predicts Cirrhosis breakdown → | 240 |
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.