Da Long

22 papers receiving 349 citations

Peers

Da Long
Comparison fields: 5 of 73
  • Transplantation 26
  • Ophthalmology 47
  • Modeling and Simulation 19
  • Infectious Diseases 64
  • Radiology, Nuclear Medicine and Imaging 72
Replace Markus Höfer with:
Markus Höfer Switzerland
Sonia Pandey United States
Sandra Robinson United States
E Kraft United States
Meizhou Liu China
Tobias Hudde Germany
Kou Uchida Japan
Kun Qiao China
Abhishek Ananthanarayanan Singapore
Yujing Wang China
Da Long relative to Markus Höfer Switzerland Markus Höfer's profile →
Citations per field
00.5×
Markus Höfer · 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201968
2 202049
3 202047
4 202033
5
Chemokine-like factor 1, a novel cytokine, contributes to airway damage, remodeling and pulmonary fibrosis.
200426
6 201823
7
Renal transplantation with cyclosporine in the elderly population.
199118
8 198616
9
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.
200515
10 202315
11 201814
12 20249
13 20218
14 19827
15 20207
16 19823
17
A bispecific aptamer targeting both VEGF and Angiopoietin-2 for treating retinal diseases
20192
18 20202
19
Comparisons of dialysis and transplant results from one center.
19792
20 19881

About Da Long

Da Long is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Ophthalmology, Transplantation and Infectious Diseases, having authored 26 papers that have together received 367 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (4 papers), Retinal Diseases and Treatments (3 papers), COVID-19 Clinical Research Studies (3 papers), Glaucoma and retinal disorders (2 papers), Retinal and Macular Surgery (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Retinal Development and Disorders (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Transplantation (26 citations), Ophthalmology (47 citations), Modeling and Simulation (19 citations), Infectious Diseases (64 citations) and Radiology, Nuclear Medicine and Imaging (72 citations). Da Long has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Peter A. Campochiaro, Jikui Shen, Benjamin R. Slavin, Huanhuan Liu, Hai‐Quan Mao, Samuel C. Yiu, Chih‐Chien Hsu, Zhengbing Zhou, Long Chen and Juyu Tang. Their work appears in journals such as Retina, Seminars in Nephrology, Microvascular Research, ACS Applied Materials & Interfaces 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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