Gerald J. Chader
- Molecular Biology top 10%
- Ophthalmology top 1%
- Immunology
- Cellular and Molecular Neuroscience top 10%
- Cell Biology top 10%
- Co-authors
- Joyce Tombran‐TinkLincoln V. JohnsonFintan R. SteeleR. Theodore FletcherRichard N. LolleyDebora B. FarberBarbara WiggertIgnacio R. Rodríguez
- Topics
- Retinal Development and Disorders (14 papers)interferon and immune responses (8 papers)Retinal Diseases and Treatments (6 papers)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Gerald J. Chader
36 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 1.0k
- Ophthalmology 453
- Immunology 191
- Cellular and Molecular Neuroscience 186
- Cell Biology 182
Countries citing papers authored by Gerald J. Chader
This map shows the geographic impact of Gerald J. Chader'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 Gerald J. Chader with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald J. Chader more than expected).
Fields of papers citing papers by Gerald J. Chader
This network shows the impact of papers produced by Gerald J. Chader. 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 Gerald J. Chader. The network helps show where Gerald J. Chader may publish in the future.
Co-authorship network of co-authors of Gerald J. Chader
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald J. Chader. A scholar is included among the top collaborators of Gerald J. Chader 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 Gerald J. Chader. Gerald J. Chader is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Organization, evolutionary conservation, expression and unusual Alu density of the human gene for pigment epithelium-derived factor, a unique neurotrophic serpin. | 168 |
| 2 | 103 | |
| 3 | 7 | |
| 4 | 12 | |
| 5 | 130 | |
| 6 | 16 | |
| 7 | 385 | |
| 8 | 29 | |
| 9 | The molecular biology of IRBP: application to problems of uveitis, protein chemistry, and evolution. | 9 |
| 10 | 20 | |
| 11 | 17 | |
| 12 | 10 | |
| 13 | 27 | |
| 14 | 16 | |
| 15 | 34 | |
| 16 | 13 | |
| 17 | 3 | |
| 18 | 30 | |
| 19 | 4 | |
| 20 | Retinoblastoma: a primitive tumor with multipotential characteristics. | 43 |
About Gerald J. Chader
Gerald J. Chader is a scholar working on Ophthalmology, Immunology and Molecular Biology, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Retinal Development and Disorders (14 papers), interferon and immune responses (8 papers) and Retinal Diseases and Treatments (6 papers). The work is most often cited by research in Ophthalmology (453 citations), Molecular Biology (1.0k citations) and Cell Biology (182 citations). Gerald J. Chader has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Joyce Tombran‐Tink, Lincoln V. Johnson, Fintan R. Steele, R. Theodore Fletcher, Richard N. Lolley, Debora B. Farber, Barbara Wiggert, Ignacio R. Rodríguez, Krzysztof Mazuruk and Ella W. Englander. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.