Da Long

504 total citations
25 papers, 346 citations indexed

About

Da Long is a scholar working on Molecular Biology, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Da Long has authored 25 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Ophthalmology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Da Long's work include Renal Transplantation Outcomes and Treatments (4 papers), Retinal Development and Disorders (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Da Long is often cited by papers focused on Renal Transplantation Outcomes and Treatments (4 papers), Retinal Development and Disorders (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Da Long collaborates with scholars based in China, United States and New Zealand. Da Long's co-authors include Peter A. Campochiaro, Jikui Shen, Hai‐Quan Mao, Xiaowei Li, Zhengbing Zhou, Juyu Tang, Samuel C. Yiu, Sami Tuffaha, Benjamin R. Slavin and Long Chen and has published in prestigious journals such as Nucleic Acids Research, ACS Applied Materials & Interfaces and Journal of Neurochemistry.

In The Last Decade

Da Long

21 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Da Long China 11 99 81 80 54 50 25 346
Sonia Pandey United States 9 56 0.6× 53 0.7× 170 2.1× 262 4.9× 81 1.6× 36 450
Ali Sanjari Moghaddam Iran 12 89 0.9× 84 1.0× 71 0.9× 39 0.7× 20 0.4× 29 451
S. Zhang China 12 316 3.2× 59 0.7× 103 1.3× 78 1.4× 30 0.6× 23 684
Wasee Tulvatana Thailand 10 38 0.4× 44 0.5× 109 1.4× 166 3.1× 21 0.4× 31 327
Vasco Bravo-Filho Canada 10 49 0.5× 47 0.6× 58 0.7× 112 2.1× 87 1.7× 25 264
Nelson Salas United States 11 136 1.4× 30 0.4× 72 0.9× 36 0.7× 17 0.3× 39 388
Mark Laughlin United States 9 85 0.9× 130 1.6× 44 0.6× 5 0.1× 26 0.5× 12 1.2k
Yuhong Nie China 8 133 1.3× 30 0.4× 40 0.5× 161 3.0× 23 0.5× 20 372
Çağman Tan Türkiye 12 38 0.4× 35 0.4× 19 0.2× 8 0.1× 42 0.8× 47 340
Kun Qiao China 7 31 0.3× 96 1.2× 49 0.6× 220 4.1× 12 0.2× 13 401

Countries citing papers authored by Da Long

Since Specialization
Citations

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

Fields of papers citing papers by Da Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Long

This figure shows the co-authorship network connecting the top 25 collaborators of Da Long. A scholar is included among the top collaborators of Da 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 Da Long. Da 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.
Wu, Xue, et al.. (2025). A Novel Approach for Suprachoroidal Space Injection: An Experimental Evaluation. Current Eye Research. 50(5). 536–543.
2.
Liu, Chang, Mengyu Wang, Da Long, et al.. (2025). Comparison of the Accuracy of Toric Intraocular Lens Formulas Used by the Online Calculator of the European Society of Cataract and Refractive Surgeons. Journal of Refractive Surgery. 41(2). e120–e130.
3.
Yu, Yaling, Hui Liu, Ling Xu, et al.. (2024). Reendothelialization of Acellular Adipose Flaps under Mimetic Physiological Dynamic Conditions. Tissue Engineering Part A. 30(21-22). 693–703.
4.
Long, Da, Xin Xu, Yuqing Chen, et al.. (2024). Understanding the relationship between sequences and kinetics of DNA strand displacements. Nucleic Acids Research. 52(16). 9407–9416. 6 indexed citations
5.
6.
Luan, Xinghua, Xiaohong Liu, Xiangning Wang, et al.. (2021). Characteristics of ocular findings of patients with neuronal intranuclear inclusion disease. Neurological Sciences. 43(5). 3231–3237. 8 indexed citations
7.
Shen, Jikui, Stephany Y. Tzeng, Kun Ding, et al.. (2020). Suprachoroidal gene transfer with nonviral nanoparticles. Science Advances. 6(27). 47 indexed citations
8.
Qiu, Chengfeng, Ziwei Deng, Qian Xiao, et al.. (2020). Transmission and clinical characteristics of coronavirus disease 2019 in 104 outside‐Wuhan patients, China. Journal of Medical Virology. 92(10). 2027–2035. 47 indexed citations
9.
Han, Xiaotong, Danhong Peng, Yong Fan, et al.. (2020). Clinical Characteristics and Prognosis of 218 Patients With COVID-19: A Retrospective Study Based on Clinical Classification. Frontiers in Medicine. 7. 485–485. 31 indexed citations
10.
Ikeuchi, T, Yogita Kanan, Da Long, et al.. (2020). Fibulin-7 C-terminal fragment and its active synthetic peptide suppress choroidal and retinal neovascularization. Microvascular Research. 129. 103986–103986. 7 indexed citations
11.
Ferguson, Scott, Da Long, Qin Yang, et al.. (2019). A bispecific aptamer targeting both VEGF and Angiopoietin-2 for treating retinal diseases. Investigative Ophthalmology & Visual Science. 60(9). 3665–3665. 1 indexed citations
12.
Zhou, Zhengbing, Da Long, Chih‐Chien Hsu, et al.. (2019). Nanofiber-reinforced decellularized amniotic membrane improves limbal stem cell transplantation in a rabbit model of corneal epithelial defect. Acta Biomaterialia. 97. 310–320. 67 indexed citations
13.
Kanan, Yogita, Mahmood Khan, Valeria E. Lorenc, et al.. (2018). Metipranolol promotes structure and function of retinal photoreceptors in the rd10 mouse model of human retinitis pigmentosa. Journal of Neurochemistry. 148(2). 307–318. 13 indexed citations
14.
Han, Pu, et al.. (2005). The protein X4 of severe acute respiratory syndrome-associated coronavirus is expressed on both virus-infected cells and lung tissue of severe acute respiratory syndrome patients and inhibits growth of Balb/c 3T3 cell line.. PubMed. 118(4). 267–74. 13 indexed citations
15.
Tang, Yan, Feng Li, Guang Zeng, et al.. (2004). Chemokine-like factor 1, a novel cytokine, contributes to airway damage, remodeling and pulmonary fibrosis.. PubMed. 117(8). 1123–9. 26 indexed citations
16.
Velez, Ruben L., Karl R. Brinker, P. Vergne-Marini, et al.. (1991). Renal transplantation with cyclosporine in the elderly population.. PubMed. 23(2). 1749–52. 17 indexed citations
17.
Gonwa, Thomas A., Clarke E. Atkins, Karl R. Brinker, et al.. (1988). Metabolic consequences of cyclosporine‐to‐azathioprine conversion in renal transplantation. Clinical Transplantation. 2(2). 91–96. 1 indexed citations
18.
Hull, Alan R., Edward Warren, Da Long, et al.. (1982). Dialysis: A ten-year review. Seminars in Nephrology. 2(2). 90–98. 2 indexed citations
19.
Warren, Edward, Alan R. Hull, Da Long, et al.. (1982). Patient status in dialysis units. Seminars in Nephrology. 2(2). 186–188. 7 indexed citations
20.
Hull, Alan R., Richard Dickerman, Clarke E. Atkins, et al.. (1979). Comparisons of dialysis and transplant results from one center.. PubMed. 11(1). 125–6. 2 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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