Jing Ouyang
- Immunology top 1%
- Oncology top 1%
- Molecular Biology top 5%
- Pathology and Forensic Medicine top 0.5%
- Infectious Diseases top 5%
- Co-authors
- Margaret A. ShippScott J. RodigPrzemysław JuszczyńskiDonna NeubergGabriel A. RabinovichBjoern ChapuyEvan A. O’DonnellMichael R. Green
- Topics
- Lymphoma Diagnosis and Treatment (14 papers)Gut microbiota and health (14 papers)Galectins and Cancer Biology (11 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jing Ouyang
117 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Immunology 1.9k
- Oncology 1.8k
- Molecular Biology 1.6k
- Pathology and Forensic Medicine 1.3k
- Infectious Diseases 371
Countries citing papers authored by Jing Ouyang
This map shows the geographic impact of Jing Ouyang'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 Jing Ouyang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Ouyang more than expected).
Fields of papers citing papers by Jing Ouyang
This network shows the impact of papers produced by Jing Ouyang. 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 Jing Ouyang. The network helps show where Jing Ouyang may publish in the future.
Co-authorship network of co-authors of Jing Ouyang
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Ouyang. A scholar is included among the top collaborators of Jing Ouyang 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 Jing Ouyang. Jing Ouyang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | The negative mental health condition among different occupational group in shaanxi province of china during the covid-19 pandemic | 1 |
| 11 | 88 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 18 | |
| 15 | 111 | |
| 16 | 58 | |
| 17 | 29 | |
| 18 | PD-L1 Expression Is Characteristic of a Subset of Aggressive B-cell Lymphomas and Virus-Associated Malignanciesbreakdown → | 657 |
| 19 | Constitutive AP-1 Activity and EBV Infection Induce PD-L1 in Hodgkin Lymphomas and Posttransplant Lymphoproliferative Disorders: Implications for Targeted Therapybreakdown → | 551 |
| 20 | 28 |
About Jing Ouyang
Jing Ouyang is a scholar working on Virology, Immunology and Emergency Medicine, having authored 124 papers that have together received 5.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (14 papers), Gut microbiota and health (14 papers) and Galectins and Cancer Biology (11 papers). The work is most often cited by research in Immunology (1.9k citations), Pathology and Forensic Medicine (1.3k citations) and Oncology (1.8k citations). Jing Ouyang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Margaret A. Shipp, Scott J. Rodig, Przemysław Juszczyński, Donna Neuberg, Gabriel A. Rabinovich, Bjoern Chapuy, Evan A. O’Donnell, Michael R. Green, Papiya Sinha and Yaokai Chen. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Medicine.
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.