Hai Long

4.0k total citations
63 papers, 2.6k citations indexed

About

Hai Long is a scholar working on Rheumatology, Immunology and Molecular Biology. According to data from OpenAlex, Hai Long has authored 63 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Rheumatology, 27 papers in Immunology and 14 papers in Molecular Biology. Recurrent topics in Hai Long's work include Systemic Lupus Erythematosus Research (18 papers), T-cell and B-cell Immunology (16 papers) and Immune Cell Function and Interaction (13 papers). Hai Long is often cited by papers focused on Systemic Lupus Erythematosus Research (18 papers), T-cell and B-cell Immunology (16 papers) and Immune Cell Function and Interaction (13 papers). Hai Long collaborates with scholars based in China, United States and Hong Kong. Hai Long's co-authors include Ming Zhao, Qianjin Lu, Qianjin Lu, Heng Yin, Sha Zhao, Haijing Wu, Yu Wang, Yunsheng Liang, Shu Ding and Ling Wang and has published in prestigious journals such as JAMA, Nature Communications and Cancer Research.

In The Last Decade

Hai Long

58 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hai Long China 30 1.0k 1.0k 720 512 265 63 2.6k
Rui‐Xue Leng China 30 1.1k 1.1× 1.2k 1.2× 968 1.3× 1.1k 2.1× 327 1.2× 116 3.1k
Steven J. Schrodi United States 26 1.4k 1.4× 878 0.9× 704 1.0× 246 0.5× 314 1.2× 67 3.0k
Peggy Jacques Belgium 26 1.4k 1.4× 901 0.9× 1.4k 2.0× 306 0.6× 237 0.9× 54 2.9k
Barbara Tolusso Italy 30 961 0.9× 584 0.6× 1.3k 1.8× 217 0.4× 218 0.8× 129 2.9k
Andreas Ramming Germany 27 887 0.9× 776 0.8× 583 0.8× 193 0.4× 401 1.5× 79 2.7k
Ping Zhu China 34 1.8k 1.7× 1.4k 1.4× 1.2k 1.6× 274 0.5× 532 2.0× 142 3.7k
Chikashi Terao Japan 31 573 0.6× 676 0.7× 1.0k 1.4× 225 0.4× 194 0.7× 148 2.9k
George Vaiopoulos Greece 30 435 0.4× 631 0.6× 651 0.9× 237 0.5× 489 1.8× 161 3.1k
Joung‐Liang Lan Taiwan 31 906 0.9× 703 0.7× 960 1.3× 133 0.3× 176 0.7× 126 2.7k
Yoshitaka Morita Japan 26 1.0k 1.0× 659 0.7× 775 1.1× 156 0.3× 608 2.3× 105 2.7k

Countries citing papers authored by Hai Long

Since Specialization
Citations

This map shows the geographic impact of Hai Long'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 Hai Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Long more than expected).

Fields of papers citing papers by Hai Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai Long. 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 Hai Long. The network helps show where Hai Long may publish in the future.

Co-authorship network of co-authors of Hai Long

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Long. A scholar is included among the top collaborators of Hai Long 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 Hai Long. Hai Long 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.
He, Liting, et al.. (2025). Aberrant Activation of Mast Cells: Molecular Mechanisms and Targets for Intervention. Clinical Reviews in Allergy & Immunology. 68(1). 60–60.
2.
Yin, Heng, Hui Chen, Wei Zhang, et al.. (2024). Image‐based remote evaluation of PASI scores with psoriasis by the YOLO‐v4 algorithm. Experimental Dermatology. 33(4). e15082–e15082. 5 indexed citations
3.
Long, Hai, et al.. (2024). Prognostic modeling of hepatocellular carcinoma based on T-cell proliferation regulators: a bioinformatics approach. Frontiers in Immunology. 15. 1444091–1444091.
4.
Yang, Ming, Di Long, Liting He, et al.. (2024). CD4+CD57+ senescent T cells as promoters of systemic lupus erythematosus pathogenesis and the therapeutic potential of senolytic BCL‐2 inhibitor. European Journal of Immunology. 54(7). e2350603–e2350603. 12 indexed citations
5.
He, Liting, Qing Liang, Jiang Li, et al.. (2023). Consecutive injections of low-dose interleukin-2 improve symptoms and disease control in patients with chronic spontaneous urticaria. Clinical Immunology. 247. 109247–109247. 4 indexed citations
6.
Jin, Hui, Ming Zhao, Haijing Wu, et al.. (2023). The differential panorama of clinical features of lupus erythematosus patients with different onset ages: a cross-sectional multicenter study from China. Clinical Rheumatology. 42(9). 2353–2367. 2 indexed citations
7.
8.
Zheng, Meiling, Zhi Hu, Lianlian Ouyang, et al.. (2022). Single-cell sequencing shows cellular heterogeneity of cutaneous lesions in lupus erythematosus. Nature Communications. 13(1). 7489–7489. 48 indexed citations
9.
Yang, Ming, Di Long, Longyuan Hu, et al.. (2021). AIM2 deficiency in B cells ameliorates systemic lupus erythematosus by regulating Blimp-1–Bcl-6 axis-mediated B-cell differentiation. Signal Transduction and Targeted Therapy. 6(1). 341–341. 56 indexed citations
10.
Luo, Shuaihantian, Hai Long, & Qianjin Lu. (2020). Recent advances in understanding pathogenesis and therapeutic strategies of Systemic Lupus Erythematosus. International Immunopharmacology. 89(Pt A). 107028–107028. 17 indexed citations
11.
Li, Jun, Jun Yang, Jiawei Li, et al.. (2020). SARS-CoV-2 presented in the air of an intensive care unit (ICU). Sustainable Cities and Society. 65. 102446–102446. 57 indexed citations
12.
Wu, Haijing, Wei Liao, Qianwen Li, et al.. (2018). Pathogenic role of tissue-resident memory T cells in autoimmune diseases. Autoimmunity Reviews. 17(9). 906–911. 67 indexed citations
13.
Shu, Ye, Qinghua Hu, Hai Long, et al.. (2016). Epigenetic Variability of CD4+CD25+ Tregs Contributes to the Pathogenesis of Autoimmune Diseases. Clinical Reviews in Allergy & Immunology. 52(2). 260–272. 42 indexed citations
14.
Long, Hai, Wei Liao, Ling Wang, & Qianjin Lu. (2016). A Player and Coordinator: The Versatile Roles of Eosinophils in the Immune System. Transfusion Medicine and Hemotherapy. 43(2). 96–108. 62 indexed citations
15.
Liao, Wei, Hai Long, Christopher Chang, & Qianjin Lu. (2015). The Eosinophil in Health and Disease: from Bench to Bedside and Back. Clinical Reviews in Allergy & Immunology. 50(2). 125–139. 29 indexed citations
16.
Long, Hai, Guiying Zhang, Ling Wang, & Qianjin Lu. (2015). Eosinophilic Skin Diseases: A Comprehensive Review. Clinical Reviews in Allergy & Immunology. 50(2). 189–213. 103 indexed citations
17.
Li, Yaping, Ming Zhao, Heng Yin, et al.. (2010). Overexpression of the growth arrest and DNA damage–induced 45α gene contributes to autoimmunity by promoting DNA demethylation in lupus T cells. Arthritis & Rheumatism. 62(5). 1438–1447. 91 indexed citations
18.
Zhou, Ying, Jun Yuan, Yujun Pan, et al.. (2009). T cell CD40LG gene expression and the production of IgG by autologous B cells in systemic lupus erythematosus. Clinical Immunology. 132(3). 362–370. 79 indexed citations
19.
Hu, Nan, Hai Long, Mingwei Zhao, Heng Yin, & Qianjin Lu. (2009). Aberrant expression pattern of histone acetylation modifiers and mitigation of lupus by SIRT1-siRNA in MRL/lprmice. Scandinavian Journal of Rheumatology. 38(6). 464–471. 50 indexed citations
20.
Camporota, Luigi, Andrea Corkhill, Hai Long, et al.. (2003). The effects ofMycobacterium vaccaeon allergen-induced airway responses in atopic asthma. European Respiratory Journal. 21(2). 287–293. 64 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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