Jonathan Y. Xia
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Epidemiology top 10%
- Adipokines, Inflammation, and Metabolic Diseases
- Liver Disease Diagnosis and Treatment
Papers in
-
- Adipokines, Inflammation, and Metabolic Diseases 5
-
- Sphingolipid Metabolism and Signaling 2
- Peroxisome Proliferator-Activated Receptors 1
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Philipp E. Scherer (6 shared papers)William L. Holland (5 shared papers)A. Aziz Aadam (2 shared papers)Thomas S. Morley (4 shared papers)Ankit X. Sharma (3 shared papers)Kai Sun (3 shared papers)Mackenzie Pearson (3 shared papers)Ruth Gordillo (3 shared papers)
- Journals
- Journal of Surgical Oncology (1 paper)Cell Metabolism (1 paper)Biochimie (1 paper)Trends in Cardiovascular Medicine (1 paper)Molecular Metabolism (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Jonathan Y. Xia
13 papers receiving 1.1k citations
Jonathan Y. Xia's Hit Papers
Peers
Comparison fields: 5 of 89
- Physiology 285
- Epidemiology 329
- Biochemistry 76
- Immunology 167
- Molecular Biology 560
Countries citing papers authored by Jonathan Y. Xia
This map shows the geographic impact of Jonathan Y. Xia'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 Jonathan Y. Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Y. Xia more than expected).
Fields of papers citing papers by Jonathan Y. Xia
This network shows the impact of papers produced by Jonathan Y. Xia. 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 Jonathan Y. Xia. The network helps show where Jonathan Y. Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Y. Xia, 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 | 2015 | 281 | |
| 2 | 2008 | 249 | |
| 3 | 2017 | 143 | |
| 4 | Advances in screening and detection of gastric cancer Hit paper breakdown → | 2022 | 100 |
| 5 | 2015 | 81 | |
| 6 | 2018 | 52 | |
| 7 | 2013 | 45 | |
| 8 | 2017 | 43 | |
| 9 | 2017 | 37 | |
| 10 | 2023 | 30 | |
| 11 | 2022 | 22 | |
| 12 | 2014 | 19 | |
| 13 | 2016 | 8 | |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 |
About Jonathan Y. Xia
Jonathan Y. Xia is a scholar working on Epidemiology, Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine and Oncology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Adipose Tissue and Metabolism (3 papers), Cardiovascular Disease and Adiposity (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Glycosylation and Glycoproteins Research (1 paper), Obesity, Physical Activity, Diet (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Physiology (285 citations), Epidemiology (329 citations), Biochemistry (76 citations), Immunology (167 citations) and Molecular Biology (560 citations). Jonathan Y. Xia has collaborated with scholars based in United States, China and France. Frequent co-authors include Philipp E. Scherer, William L. Holland, A. Aziz Aadam, Thomas S. Morley, Ankit X. Sharma, Kai Sun, Mackenzie Pearson, Ruth Gordillo, Christine M. Kusminski and Jeffrey G. McDonald. Their work appears in journals such as Journal of Surgical Oncology, Cell Metabolism, Biochimie, Trends in Cardiovascular Medicine and Molecular Metabolism.
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.