Hua Gu

7.9k total citations · 3 hit papers
77 papers, 6.5k citations indexed

About

Hua Gu is a scholar working on Immunology, Molecular Biology and Mechanics of Materials. According to data from OpenAlex, Hua Gu has authored 77 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Immunology, 23 papers in Molecular Biology and 6 papers in Mechanics of Materials. Recurrent topics in Hua Gu's work include T-cell and B-cell Immunology (34 papers), Immune Cell Function and Interaction (29 papers) and Immunotherapy and Immune Responses (12 papers). Hua Gu is often cited by papers focused on T-cell and B-cell Immunology (34 papers), Immune Cell Function and Interaction (29 papers) and Immunotherapy and Immune Responses (12 papers). Hua Gu collaborates with scholars based in United States, China and Germany. Hua Gu's co-authors include Klaus Rajewsky, Jamey D. Marth, Paul C. Orban, Horst Mossmann, Mayumi Naramura, Irmgard Förster, Hemanta K. Kole, Werner Müller, Ihn Kyung Jang and Ralf Kühn and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Hua Gu

74 papers receiving 6.4k citations

Hit Papers

Deletion of a DNA Polymerase β Gene Segment in T Cells Us... 1994 2026 2004 2015 1994 1996 2000 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hua Gu United States 33 3.4k 3.0k 1.1k 853 739 77 6.5k
Dimitris Kioussis United Kingdom 52 3.9k 1.1× 5.1k 1.7× 1.2k 1.1× 1.4k 1.7× 444 0.6× 111 9.5k
Kei Tashiro Japan 36 2.6k 0.8× 2.2k 0.7× 1.7k 1.5× 795 0.9× 730 1.0× 105 6.4k
Christopher H. Clegg United States 36 3.0k 0.9× 2.1k 0.7× 959 0.9× 885 1.0× 271 0.4× 63 5.8k
Eric J. Jenkinson United Kingdom 56 2.8k 0.8× 6.6k 2.2× 1.7k 1.5× 904 1.1× 445 0.6× 170 10.2k
Ramón Merino Spain 35 2.2k 0.6× 2.1k 0.7× 633 0.6× 538 0.6× 327 0.4× 105 4.8k
Takuro Nakamura Japan 42 3.9k 1.2× 1.3k 0.4× 1.9k 1.7× 606 0.7× 555 0.8× 214 7.1k
Wojciech Swat United States 46 4.3k 1.3× 4.2k 1.4× 1.6k 1.4× 515 0.6× 675 0.9× 77 8.4k
Yuji Yamanashi Japan 43 3.5k 1.0× 2.3k 0.8× 1.2k 1.1× 575 0.7× 336 0.5× 94 7.1k
Miguel N. Rivera United States 33 4.0k 1.2× 3.7k 1.2× 1.3k 1.1× 2.2k 2.6× 861 1.2× 74 9.0k
Eisuke Mekada Japan 48 4.2k 1.2× 2.4k 0.8× 2.0k 1.7× 624 0.7× 676 0.9× 130 8.4k

Countries citing papers authored by Hua Gu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Hua Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Gu. A scholar is included among the top collaborators of Hua Gu 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 Hua Gu. Hua Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gu, Hua, et al.. (2025). Identifying the genetic link between type 1 diabetes and autoimmune liver diseases. Clinical and Experimental Hepatology. 11(1). 52–60.
2.
Zhao, Wei, Min Hu, Pan Wu, et al.. (2024). Quality of life, sleep and anxiety status among patients with rosacea in the Yunnan plateau region: A 2‐year retrospective study. Skin Research and Technology. 30(3). e13616–e13616. 5 indexed citations
3.
Papoin, Julien, Barbara Sherry, Betty Diamond, et al.. (2023). Host factor TIMP1 sustains long-lasting myeloid-biased hematopoiesis after severe infection. The Journal of Experimental Medicine. 220(12). 3 indexed citations
4.
Li, Xin, Liying Gong, Alexandre P. Meli, et al.. (2020). Cbl and Cbl-b control the germinal center reaction by facilitating naive B cell antigen processing. The Journal of Experimental Medicine. 217(9). 11 indexed citations
5.
Wang, Shuangkun, et al.. (2017). Correlation between prefrontal-striatal pathway impairment and cognitive impairment in patients with leukoaraiosis. Medicine. 96(17). e6703–e6703. 13 indexed citations
6.
Gu, Hua, et al.. (2016). The Impact of Tropical Cyclones on China in 2015. SHILAP Revista de lepidopterología. 3 indexed citations
7.
Wang, Yinjuan, et al.. (2015). Expressions of Toll-like receptors 2 and 4 in skin lesions and peripheral blood from patients with chloasma. Chinese Journal of Dermatology. 48(2). 100–103. 1 indexed citations
8.
Gu, Hua, et al.. (2014). Restoring effect of hyaluronic acid on impaired skin barrier function in BALB/c mice after laser irradiation. Chinese Journal of Dermatology. 47(5). 345–348. 1 indexed citations
9.
Tu, Ying, et al.. (2012). Regulation of p53 expression though transforming growth factor β1 (TGFβ1)/Smads pathway in actinic keratosis. Chinese Journal of Dermatology. 45(9). 638–640. 1 indexed citations
10.
Gu, Hua, et al.. (2012). Dysfunction of epidermal barrier in psoriasis. Chinese Journal of Dermatology. 45(2). 134–135. 1 indexed citations
11.
Tu, Ying, et al.. (2012). Effects of Prinsepia utilis Royle oil on the synthesis of ceramide and expression of ceramidase. Chinese Journal of Dermatology. 45(10). 718–722. 6 indexed citations
12.
Gu, Hua. (2007). Influencing Factors of Demand of Floating Population for Health Service and Its Utilization in Kunshan City. Zhongguo quanke yixue. 1 indexed citations
13.
Oh, Keunhee, Sanghee Kim, Seho Park, et al.. (2005). Direct Regulatory Role of NKT Cells in Allogeneic Graft Survival Is Dependent on the Quantitative Strength of Antigenicity. The Journal of Immunology. 174(4). 2030–2036. 36 indexed citations
14.
Moratz, Chantal, J. Russell Hayman, Hua Gu, & John H. Kehrl. (2004). Abnormal B-Cell Responses to Chemokines, Disturbed Plasma Cell Localization, and Distorted Immune Tissue Architecture in Rgs1 −/− Mice. Molecular and Cellular Biology. 24(13). 5767–5775. 82 indexed citations
15.
Holmberg, Kaisa, et al.. (2003). Allelic Exclusion of the TCR α-Chain Is an Active Process Requiring TCR-Mediated Signaling and c-Cbl. The Journal of Immunology. 170(9). 4557–4563. 29 indexed citations
16.
Bachelier, Richard, Xiaoling Xu, Wenmei Li, et al.. (2003). Normal lymphocyte development and thymic lymphoma formation in Brca1 exon-11-deficient mice. Oncogene. 22(4). 528–537. 28 indexed citations
17.
Rajewsky, Klaus, Hua Gu, Ralf Kühn, et al.. (1996). Conditional gene targeting.. Journal of Clinical Investigation. 98(3). 600–603. 349 indexed citations
18.
Sobol, Robert W., Julie K. Horton, Ralf Kühn, et al.. (1996). Requirement of mammalian DNA polymerase-β in base-excision repair. Nature. 379(6561). 183–186. 711 indexed citations breakdown →
19.
Förster, Irmgard, Hua Gu, Werner Müller, et al.. (1991). CD5 B Cells in the Mouse. Current topics in microbiology and immunology. 173. 247–251. 13 indexed citations
20.
Rajewsky, Klaus, Hua Gu, Paulo Vieira, & Irmgard Förster. (1989). Growth and Selection of B Cells In Vivo. Cold Spring Harbor Symposia on Quantitative Biology. 54(0). 209–217. 8 indexed citations

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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