Hua Gu
Impact in
- Immunology top 0.5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Cancer Research top 2%
Papers in
- Immunology 41
- T-cell and B-cell Immunology 35
- Immune Cell Function and Interaction 30
- Immunotherapy and Immune Responses 12
-
- Ubiquitin and proteasome pathways 5
- DNA Repair Mechanisms 4
- CRISPR and Genetic Engineering 4
- Co-authors
- Klaus Rajewsky (18 shared papers)Horst Mossmann (1 shared paper)Jamey D. Marth (1 shared paper)Paul C. Orban (1 shared paper)Mayumi Naramura (8 shared papers)Irmgard Förster (5 shared papers)Hemanta K. Kole (4 shared papers)Werner Müller (6 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (9 papers)The Journal of Experimental Medicine (7 papers)Immunity (5 papers)The Journal of Immunology (4 papers)Nature (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Hua Gu
75 papers receiving 6.6k citations
Hua Gu's Hit Papers
Peers
Comparison fields: 5 of 127
- Immunology 3.0k
- Cancer Research 752
- Molecular Biology 3.5k
- Oncology 1.1k
- Immunology and Allergy 235
Countries citing papers authored by Hua Gu
This map shows the geographic impact of Hua 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 Hua Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Gu more than expected).
Fields of papers citing papers by Hua Gu
This network shows the impact of papers produced by Hua 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 Hua Gu. The network helps show where Hua Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hua 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
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deletion of a DNA Polymerase β Gene Segment in T Cells Using Cell Type-Specific Gene Targeting Hit paper breakdown → | 1994 | 1179 |
| 2 | Requirement of mammalian DNA polymerase-β in base-excision repair Hit paper breakdown → | 1996 | 741 |
| 3 | Cbl-b regulates the CD28 dependence of T-cell activation Hit paper breakdown → | 2000 | 521 |
| 4 | 1991 | 394 | |
| 5 | 1990 | 368 | |
| 6 | 1996 | 367 | |
| 7 | 2002 | 317 | |
| 8 | 1997 | 304 | |
| 9 | 1998 | 298 | |
| 10 | 2006 | 201 | |
| 11 | 2002 | 189 | |
| 12 | 1991 | 181 | |
| 13 | 2005 | 153 | |
| 14 | 2003 | 117 | |
| 15 | 2007 | 101 | |
| 16 | 1998 | 89 | |
| 17 | 2004 | 85 | |
| 18 | 2000 | 82 | |
| 19 | 1994 | 80 | |
| 20 | 2008 | 66 |
About Hua Gu
Hua Gu is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Mechanics of Materials and Genetics, having authored 79 papers that have together received 6.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (35 papers), Immune Cell Function and Interaction (30 papers), Immunotherapy and Immune Responses (12 papers), Cavitation Phenomena in Pumps (6 papers), Ubiquitin and proteasome pathways (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), DNA Repair Mechanisms (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Immunology (3.0k citations), Cancer Research (752 citations), Molecular Biology (3.5k citations), Oncology (1.1k citations) and Immunology and Allergy (235 citations). Hua Gu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Klaus Rajewsky, Horst Mossmann, Jamey D. Marth, Paul C. Orban, Mayumi Naramura, Irmgard Förster, Hemanta K. Kole, Werner Müller, Ralf Kühn and Ihn Kyung Jang. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine, Immunity, The Journal of Immunology and Nature.
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.