Akash Shukla
Impact in
- Hepatology top 2%
- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Diseases and Immunity
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
- Hepatology 52
- Liver Disease and Transplantation 38
- Hepatocellular Carcinoma Treatment and Prognosis 7
- Surgery 50
- Organ Transplantation Techniques and Outcomes 14
- Pediatric Hepatobiliary Diseases and Treatments 11
- Esophageal and GI Pathology 10
- Co-authors
- Shobna Bhatia (24 shared papers)Suprabhat Giri (16 shared papers)Samir Shah (3 shared papers)Mohamed Rela (1 shared paper)Samir Shah (4 shared papers)Xingshun Qi (3 shared papers)Joanne M. Bargman (1 shared paper)Bhawan K. Paunipagar (1 shared paper)
In The Last Decade
Akash Shukla
95 papers receiving 857 citations
Peers
Comparison fields: 5 of 102
- Hepatology 449
- Epidemiology 390
- Gastroenterology 47
- Surgery 373
- Nephrology 38
Countries citing papers authored by Akash Shukla
This map shows the geographic impact of Akash Shukla'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 Akash Shukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akash Shukla more than expected).
Fields of papers citing papers by Akash Shukla
This network shows the impact of papers produced by Akash Shukla. 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 Akash Shukla. The network helps show where Akash Shukla may publish in the future.
Co-authors
The 25 scholars most cited alongside Akash Shukla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 85 | |
| 2 | 2020 | 83 | |
| 3 | 2021 | 40 | |
| 4 | 2016 | 40 | |
| 5 | 2006 | 34 | |
| 6 | 2014 | 34 | |
| 7 | 2019 | 28 | |
| 8 | 2016 | 25 | |
| 9 | 2021 | 24 | |
| 10 | 2018 | 23 | |
| 11 | 2011 | 21 | |
| 12 | 2010 | 20 | |
| 13 | 2020 | 18 | |
| 14 | 2019 | 17 | |
| 15 | 2018 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2019 | 15 | |
| 18 | 2012 | 14 | |
| 19 | 2023 | 14 | |
| 20 | 2024 | 14 |
About Akash Shukla
Akash Shukla is a scholar working on Hepatology, Surgery, Epidemiology, Pulmonary and Respiratory Medicine and Gastroenterology, having authored 107 papers that have together received 874 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (38 papers), Liver Disease and Transplantation (38 papers), Organ Transplantation Techniques and Outcomes (14 papers), Pediatric Hepatobiliary Diseases and Treatments (11 papers), Esophageal and GI Pathology (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Gallbladder and Bile Duct Disorders (7 papers) and Gastroesophageal reflux and treatments (7 papers). The work is most often cited by research in Hepatology (449 citations), Epidemiology (390 citations), Gastroenterology (47 citations), Surgery (373 citations) and Nephrology (38 citations). Akash Shukla has collaborated with scholars based in India, Canada and China. Frequent co-authors include Shobna Bhatia, Suprabhat Giri, Samir Shah, Mohamed Rela, Samir Shah, Xingshun Qi, Joanne M. Bargman, Bhawan K. Paunipagar, Vikas Pandey and Xiaozhong Guo. Their work appears in journals such as Hepatology International, Journal of Gastroenterology and Hepatology, Gastrointestinal Endoscopy, Liver International 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.