Puja Sakhuja
- Epidemiology top 1%
- Hepatology top 0.5%
- Surgery top 5%
- Pulmonary and Respiratory Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Shiv Kumar SarinBarjesh Chander SharmaSyed HissarVeena MalhotraManoj KumarAnil AgarwalAshish KumarRanjit Chauhan
- Topics
- Liver Disease Diagnosis and Treatment (47 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (27 papers)Hepatitis B Virus Studies (22 papers)
- Journals
- SHILAP Revista de lepidopterologíaGastroenterologyScientific Reports
- Partner nations
- IndiaUnited StatesFrance
In The Last Decade
Puja Sakhuja
133 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 94
- Epidemiology 1.8k
- Hepatology 1.5k
- Surgery 835
- Pulmonary and Respiratory Medicine 349
- Endocrinology, Diabetes and Metabolism 323
Countries citing papers authored by Puja Sakhuja
This map shows the geographic impact of Puja Sakhuja'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 Puja Sakhuja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Puja Sakhuja more than expected).
Fields of papers citing papers by Puja Sakhuja
This network shows the impact of papers produced by Puja Sakhuja. 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 Puja Sakhuja. The network helps show where Puja Sakhuja may publish in the future.
Co-authorship network of co-authors of Puja Sakhuja
This figure shows the co-authorship network connecting the top 25 collaborators of Puja Sakhuja. A scholar is included among the top collaborators of Puja Sakhuja 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 Puja Sakhuja. Puja Sakhuja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 17 | |
| 11 | 24 | |
| 12 | 3 | |
| 13 | 34 | |
| 14 | 270 | |
| 15 | 46 | |
| 16 | 29 | |
| 17 | A randomized trial of a 4- vs 12-week daily interferon dose regimen combined with ribavirin in treatment of patients with chronic hepatitis C. | 2 |
| 18 | 4 | |
| 19 | 20 | |
| 20 | 10 |
About Puja Sakhuja
Puja Sakhuja is a scholar working on Hepatology, Epidemiology and Surgery, having authored 138 papers that have together received 2.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (47 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (27 papers) and Hepatitis B Virus Studies (22 papers). The work is most often cited by research in Hepatology (1.5k citations), Epidemiology (1.8k citations) and Endocrinology, Diabetes and Metabolism (323 citations). Puja Sakhuja has collaborated with scholars based in India, United States and France. Frequent co-authors include Shiv Kumar Sarin, Barjesh Chander Sharma, Syed Hissar, Veena Malhotra, Manoj Kumar, Anil Agarwal, Ashish Kumar, Ranjit Chauhan, Sanjaya K. Satapathy and Amit Javed. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and Scientific Reports.
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.