Tun Jie
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments 7
- Hepatology top 5%
- Liver Disease and Transplantation 5
- Surgery top 5%
- Organ Transplantation Techniques and Outcomes 12
- Pancreatitis Pathology and Treatment 10
- Pancreatic function and diabetes 10
- Genetics top 10%
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research 13
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- Gallbladder and Bile Duct Disorders 6
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- Organ Donation and Transplantation 4
- Co-authors
- David E.R. SutherlandBernhard J. HeringRainer W.G. GruessnerAngelika C. GruessnerEvan OngMartin WijkstromKathleen MoranT Aasheim
- Cited by
- TransplantationHepatologySurgery
- Journals
- Clinical Transplantation (4 papers)Journal of the American College of Surgeons (3 papers)Journal of Surgical Research (2 papers)
- Partner nations
- United StatesSwitzerlandGreece
In The Last Decade
Tun Jie
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Transplantation 96
- Hepatology 189
- Surgery 1.0k
- Genetics 304
- Oncology 251
Countries citing papers authored by Tun Jie
This map shows the geographic impact of Tun Jie'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 Tun Jie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tun Jie more than expected).
Fields of papers citing papers by Tun Jie
This network shows the impact of papers produced by Tun Jie. 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 Tun Jie. The network helps show where Tun Jie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tun Jie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 1 | |
| 2 | 2019 | 2 | |
| 3 | Analysis of Outcomes of Open Robotic and LaparoscopicPancreaticoduodenectomy Using NSQIP | 2018 | 3 |
| 4 | 2018 | 3 | |
| 5 | Comparative Analysis of Outcomes of Distal Pancreatectomy with or without Splenectomy Using the National Inpatient Sample | 2016 | 1 |
| 6 | 2015 | 3 | |
| 7 | 2014 | 5 | |
| 8 | 2014 | 13 | |
| 9 | 2014 | 5 | |
| 10 | 2013 | 5 | |
| 11 | 2012 | 34 | |
| 12 | 2012 | 15 | |
| 13 | 2012 | 12 | |
| 14 | 2012 | 7 | |
| 15 | 2011 | 32 | |
| 16 | 2010 | 20 | |
| 17 | 2007 | 108 | |
| 18 | 2006 | 27 | |
| 19 | 2006 | 427 | |
| 20 | 2004 | 5 |
About Tun Jie
Tun Jie is a scholar working on Transplantation, Surgery and Hepatology, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (13 papers), Organ Transplantation Techniques and Outcomes (12 papers), Pancreatitis Pathology and Treatment (10 papers), Pancreatic function and diabetes (10 papers), Renal Transplantation Outcomes and Treatments (7 papers), Gallbladder and Bile Duct Disorders (6 papers), Liver Disease and Transplantation (5 papers) and Organ Donation and Transplantation (4 papers). The work is most often cited by research in Transplantation (96 citations), Hepatology (189 citations) and Surgery (1.0k citations). Tun Jie has collaborated with scholars based in United States, Switzerland and Greece. Frequent co-authors include David E.R. Sutherland, Bernhard J. Hering, Rainer W.G. Gruessner, Angelika C. Gruessner, Evan Ong, Martin Wijkstrom, Kathleen Moran, T Aasheim, Masahiko Nakano and Nicole Kirchhof. Their work appears in journals such as Clinical Transplantation, Journal of the American College of Surgeons, Journal of Surgical Research, HPB and Surgical Clinics of North America.
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.