Da Long

504 citations
25 papers · 346 indexed · h-index 11

Impact in

Papers in

Da Long

21 papers receiving 333 citations

Peers

Da Long
Comparison fields: 5 of 77
  • Transplantation 27
  • Ophthalmology 54
  • Modeling and Simulation 26
  • Infectious Diseases 81
  • Radiology, Nuclear Medicine and Imaging 80
Replace Helen E. Kent with:
Helen E. Kent Australia
Sonia Pandey United States
Ali Sanjari Moghaddam Iran
S. Zhang China
Tarek Bayyoud Germany
Çağman Tan Türkiye
Yuhong Nie China
Kun Qiao China
Kou Uchida Japan
Stephanie M. Bates United Kingdom
Da Long relative to Helen E. Kent Australia Helen E. Kent's profile →
Citations per field
00.5×10×13.5×
Helen E. Kent · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Da Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Da Long Line = papers co-authored together Da Long links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201967
2 202047
3 202047
4 202031
5
Chemokine-like factor 1, a novel cytokine, contributes to airway damage, remodeling and pulmonary fibrosis.
200426
6 201822
7
Renal transplantation with cyclosporine in the elderly population.
199117
8 198615
9 201813
10
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.
200513
11 202311
12 20218
13 19827
14 20207
15 20246
16 19822
17
Comparisons of dialysis and transplant results from one center.
19792
18 20202
19
A bispecific aptamer targeting both VEGF and Angiopoietin-2 for treating retinal diseases
20191
20 19881

About Da Long

Da Long is a scholar working on Molecular Biology, Ophthalmology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Transplantation, having authored 25 papers that have together received 346 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (4 papers), Retinal Development and Disorders (4 papers), Glaucoma and retinal disorders (3 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Retinal Diseases and Treatments (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Ophthalmology and Visual Impairment Studies (2 papers). The work is most often cited by research in Transplantation (27 citations), Ophthalmology (54 citations), Modeling and Simulation (26 citations), Infectious Diseases (81 citations) and Radiology, Nuclear Medicine and Imaging (80 citations). Da Long has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Peter A. Campochiaro, Jikui Shen, Juyu Tang, Huanhuan Liu, Xiaowei Li, Sami Tuffaha, Chih‐Chien Hsu, Zhengbing Zhou, Samuel C. Yiu and Hai‐Quan Mao. Their work appears in journals such as Seminars in Nephrology, JCI Insight, Current Eye Research, Science Advances and Journal of Medical Virology.

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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