Sushma Saksena
- Epidemiology top 1%
- Hepatology top 0.5%
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 10%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Paul AnguloKeith D. LindorSchuyler O. SandersonJacob GeorgeTerry M. TherneauJohn P. BidaGeoffrey C. FarrellLeon A. Adams
- Topics
- Liver Disease Diagnosis and Treatment (13 papers)Liver Disease and Transplantation (12 papers)Organ Transplantation Techniques and Outcomes (3 papers)
- Journals
- HepatologyGutJournal of Hepatology
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
Sushma Saksena
22 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Epidemiology 2.4k
- Hepatology 1.5k
- Endocrinology, Diabetes and Metabolism 866
- Surgery 495
- Pathology and Forensic Medicine 365
Countries citing papers authored by Sushma Saksena
This map shows the geographic impact of Sushma Saksena'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 Sushma Saksena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushma Saksena more than expected).
Fields of papers citing papers by Sushma Saksena
This network shows the impact of papers produced by Sushma Saksena. 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 Sushma Saksena. The network helps show where Sushma Saksena may publish in the future.
Co-authorship network of co-authors of Sushma Saksena
This figure shows the co-authorship network connecting the top 25 collaborators of Sushma Saksena. A scholar is included among the top collaborators of Sushma Saksena 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 Sushma Saksena. Sushma Saksena 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 | 1 | |
| 3 | 1 | |
| 4 | 21 | |
| 5 | 50 | |
| 6 | 2 | |
| 7 | 16 | |
| 8 | The NAFLD fibrosis scorebreakdown → | 2343 |
| 9 | Genetic evidence supporting the two-hit model of NASH pathogenesis | 4 |
| 10 | 7 | |
| 11 | 15 | |
| 12 | 60 | |
| 13 | 40 | |
| 14 | Evaluation of endoscopy-based diagnostic methods for the detection of Helicobacter pylori. | 7 |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 13 | |
| 18 | Sonographic signs in portal hypertension: a multivariate analysis. | 3 |
| 19 | 1 | |
| 20 | 30 |
About Sushma Saksena
Sushma Saksena is a scholar working on Hepatology, Epidemiology and Gastroenterology, having authored 22 papers that have together received 2.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Liver Disease and Transplantation (12 papers) and Organ Transplantation Techniques and Outcomes (3 papers). The work is most often cited by research in Hepatology (1.5k citations), Epidemiology (2.4k citations) and Endocrinology, Diabetes and Metabolism (866 citations). Sushma Saksena has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Paul Angulo, Keith D. Lindor, Schuyler O. Sanderson, Jacob George, Terry M. Therneau, John P. Bida, Geoffrey C. Farrell, Leon A. Adams, Marco Lenzi and Giulio Marchesini. Their work appears in journals such as Hepatology, Gut and Journal of Hepatology.
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.