Ergang Shi
- Molecular Biology top 10%
- Ophthalmology top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Cell Biology top 5%
- Oncology
- Co-authors
- Ashique RafiqueJoel MartinNeil StahlStanley J. WiegandErica PylesQin RuanNicholas PapadopoulosGeorge D. Yancopoulos
- Topics
- Monoclonal and Polyclonal Antibodies Research (4 papers)Proteoglycans and glycosaminoglycans research (4 papers)Glycosylation and Glycoproteins Research (3 papers)
- Partner nations
- United States
In The Last Decade
Ergang Shi
14 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Molecular Biology 720
- Ophthalmology 594
- Radiology, Nuclear Medicine and Imaging 588
- Cell Biology 222
- Oncology 183
Countries citing papers authored by Ergang Shi
This map shows the geographic impact of Ergang Shi'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 Ergang Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ergang Shi more than expected).
Fields of papers citing papers by Ergang Shi
This network shows the impact of papers produced by Ergang Shi. 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 Ergang Shi. The network helps show where Ergang Shi may publish in the future.
Co-authorship network of co-authors of Ergang Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Ergang Shi. A scholar is included among the top collaborators of Ergang Shi 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 Ergang Shi. Ergang Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | Binding and neutralization of vascular endothelial growth factor (VEGF) and related ligands by VEGF Trap, ranibizumab and bevacizumabbreakdown → | 823 |
| 3 | 9 | |
| 4 | Targeting and therapy of carcinoembryonic antigen-expressing tumors in transgenic mice with an antibody-interleukin 2 fusion protein. | 70 |
| 5 | Phosphospecific antibodies reveal focal adhesion kinase activation loop phosphorylation in nascent and mature focal adhesions and requirement for the autophosphorylation site. | 81 |
| 6 | 97 | |
| 7 | 9 | |
| 8 | 25 | |
| 9 | 108 | |
| 10 | 77 | |
| 11 | 39 | |
| 12 | 19 | |
| 13 | 15 | |
| 14 | 16 |
About Ergang Shi
Ergang Shi is a scholar working on Cancer Research, Immunology and Allergy and Cell Biology, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Proteoglycans and glycosaminoglycans research (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Ophthalmology (594 citations), Radiology, Nuclear Medicine and Imaging (588 citations) and Cell Biology (222 citations). Ergang Shi has collaborated with scholars based in United States. Frequent co-authors include Ashique Rafique, Joel Martin, Neil Stahl, Stanley J. Wiegand, Erica Pyles, Qin Ruan, Nicholas Papadopoulos, George D. Yancopoulos, Michael Rosconi and Wallace L. McKeehan. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and Molecular and Cellular Biology.
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.