Jun Gu
- Cancer Research top 2%
-
- Lymphoma Diagnosis and Treatment 13
- Oncology top 5%
- Viral-associated cancers and disorders 7
- Immunology top 5%
- Psoriasis: Treatment and Pathogenesis 17
- Immunotherapy and Immune Responses 8
-
- Acute Myeloid Leukemia Research 10
-
- Chronic Lymphocytic Leukemia Research 9
-
- Dermatology and Skin Diseases 9
-
- Acute Lymphoblastic Leukemia research 6
- Co-authors
- M R SpitzWaun Ki HongXin WuJehangir MistryHong‐Ren YuLie YangZong‐Guang ZhouMelissa L. Bondy
- Journals
- Scientific Reports (3 papers)Chinese Journal of Integrative Medicine (3 papers)Cancer (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Gu
132 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 134
- Cancer Research 915
- Pathology and Forensic Medicine 484
- Oncology 723
- Endocrinology, Diabetes and Metabolism 409
- Immunology 489
Countries citing papers authored by Jun Gu
This map shows the geographic impact of Jun Gu'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 Jun Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Gu more than expected).
Fields of papers citing papers by Jun Gu
This network shows the impact of papers produced by Jun Gu. 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 Jun Gu. The network helps show where Jun Gu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Gu, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 0 | |
| 8 | 2019 | 1 | |
| 9 | 2018 | 8 | |
| 10 | 2017 | 75 | |
| 11 | 2016 | 21 | |
| 12 | Clinical Effects of Xiaoyin Tang in Treating Psoriasis of Blood-heat Type and Its Impact on T-bet/GATA3 | 2012 | 1 |
| 13 | 2011 | 26 | |
| 14 | 2010 | 45 | |
| 15 | 2008 | 9 | |
| 16 | Metabolic effects of administration of branched chain amino acids on postoperative patients | 2004 | 1 |
| 17 | Study on Cell Apoptosis in Psoriasis | 2004 | 1 |
| 18 | 2004 | 21 | |
| 19 | 2003 | 40 | |
| 20 | 2000 | 111 |
About Jun Gu
Jun Gu is a scholar working on Cancer Research, Genetics and Immunology, having authored 144 papers that have together received 3.2k indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (17 papers), Lymphoma Diagnosis and Treatment (13 papers), Acute Myeloid Leukemia Research (10 papers), Chronic Lymphocytic Leukemia Research (9 papers), Dermatology and Skin Diseases (9 papers), Immunotherapy and Immune Responses (8 papers), Viral-associated cancers and disorders (7 papers) and Acute Lymphoblastic Leukemia research (6 papers). The work is most often cited by research in Cancer Research (915 citations), Pathology and Forensic Medicine (484 citations) and Oncology (723 citations). Jun Gu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include M R Spitz, Waun Ki Hong, Xin Wu, Jehangir Mistry, Hong‐Ren Yu, Lie Yang, Zong‐Guang Zhou, Melissa L. Bondy, Ruth L. Katz and Hongying Chen. Their work appears in journals such as Scientific Reports, Chinese Journal of Integrative Medicine, Cancer, Oncotarget and Annals of the Rheumatic Diseases.
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.