Jing Ouyang

7.8k citations
124 papers · 5.0k indexed · 3 hit papers · h-index 35

Jing Ouyang

117 papers receiving 5.0k citations

Hit Papers

PD-L1 Expression Is Characteristic of a Subset of Aggress...6572007202620132019200400600

Peers

Jing Ouyang
Comparison fields: 5 of 157
  • Immunology 1.9k
  • Pathology and Forensic Medicine 1.3k
  • Oncology 1.8k
  • Virology 128
  • Genetics 284
Replace Peter Fritsch with:
Peter Fritsch Austria
Qiuwei Pan Netherlands
Robin Marks Australia
B. Cribier France
Irma Joosten Netherlands
Soohyun Kim South Korea
Jay H. Bream United States
Lloyd Mayer United States
David L. Rosenstreich United States
Michael Howell United States
Jing Ouyang relative to Peter Fritsch Austria Peter Fritsch's profile →
Citations per field
00.5×4.0×
Peter Fritsch · 1×
Citations per year

Countries citing papers authored by Jing Ouyang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Jing Ouyang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jing Ouyang Line = papers co-authored together Jing Ouyang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20240
3 20238
4 20236
5 20224
6 20229
7 202210
8 20222
9 202212
10
The negative mental health condition among different occupational group in shaanxi province of china during the covid-19 pandemic
20211
11 202088
12 20201
13 20203
14 202018
15 2018111
16 201758
17 201529
18
PD-L1 Expression Is Characteristic of a Subset of Aggressive B-cell Lymphomas and Virus-Associated Malignanciesbreakdown →
2013657
19
Constitutive AP-1 Activity and EBV Infection Induce PD-L1 in Hodgkin Lymphomas and Posttransplant Lymphoproliferative Disorders: Implications for Targeted Therapybreakdown →
2012551
20 201028

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), Galectins and Cancer Biology (11 papers), HIV-related health complications and treatments (10 papers), HIV Research and Treatment (9 papers), Genetic and phenotypic traits in livestock (9 papers), Immune Cell Function and Interaction (8 papers) and Glycosylation and Glycoproteins Research (7 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.

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