John Xu
Impact in
-
- Diabetes Treatment and Management
- Diabetes Management and Research
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
Papers in
-
- Diabetes Treatment and Management 16
- Diabetes Management and Research 10
- Surgery 11
- Pancreatic function and diabetes 10
- Co-authors
- C. David Sjöström (2 shared papers)Paresh Dandona (9 shared papers)Nevin Ajluni (1 shared paper)Frederik Persson (1 shared paper)Hiddo J.L. Heerspink (1 shared paper)S. Petrykiv (1 shared paper)Peter J. Greasley (1 shared paper)Chantal Mathieu (8 shared papers)
- Journals
- Diabetes Obesity and Metabolism (4 papers)Diabetes (3 papers)Investigational New Drugs (2 papers)Clinical and Experimental Rheumatology (1 paper)The Journal of Pediatrics (1 paper)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
John Xu
22 papers receiving 544 citations
Peers
Comparison fields: 5 of 60
- Endocrinology, Diabetes and Metabolism 406
- Nephrology 56
- Surgery 257
- Pulmonary and Respiratory Medicine 95
- Molecular Biology 171
Countries citing papers authored by John Xu
This map shows the geographic impact of John Xu'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 John Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Xu more than expected).
Fields of papers citing papers by John Xu
This network shows the impact of papers produced by John Xu. 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 John Xu. The network helps show where John Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside John Xu, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 115 | |
| 2 | 2020 | 53 | |
| 3 | 2016 | 40 | |
| 4 | 2019 | 35 | |
| 5 | 2017 | 35 | |
| 6 | 2013 | 33 | |
| 7 | 2020 | 33 | |
| 8 | 2017 | 31 | |
| 9 | 2016 | 29 | |
| 10 | 2017 | 27 | |
| 11 | 2020 | 26 | |
| 12 | 2020 | 24 | |
| 13 | 2005 | 23 | |
| 14 | 2010 | 18 | |
| 15 | 2018 | 10 | |
| 16 | 2019 | 8 | |
| 17 | 2007 | 7 | |
| 18 | 2014 | 4 | |
| 19 | 2017 | 3 | |
| 20 | 2024 | 3 |
About John Xu
John Xu is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 24 papers that have together received 560 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (16 papers), Pancreatic function and diabetes (10 papers), Diabetes Management and Research (10 papers), Metabolism, Diabetes, and Cancer (7 papers), Cancer Treatment and Pharmacology (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (406 citations), Nephrology (56 citations), Surgery (257 citations), Pulmonary and Respiratory Medicine (95 citations) and Molecular Biology (171 citations). John Xu has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include C. David Sjöström, Paresh Dandona, Nevin Ajluni, Frederik Persson, Hiddo J.L. Heerspink, S. Petrykiv, Peter J. Greasley, Chantal Mathieu, Moshe Phillip and Fredrik Thorén. Their work appears in journals such as Diabetes Obesity and Metabolism, Diabetes, Investigational New Drugs, Clinical and Experimental Rheumatology and The Journal of Pediatrics.
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.