Sudha Neelam
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Endocrinology top 2%
- Surgery
- Immunology
- Co-authors
- Jérry Y. NiederkornHassan AlizadehHaochuan LiJames P. McCulleyElizabeth MayhewR. Ann WordPatrick R. CammarataSteven R. Goodman
- Topics
- Legionella and Acanthamoeba research (8 papers)Connexins and lens biology (6 papers)Ocular Surface and Contact Lens (6 papers)
- Cited by
- EndocrinologyOphthalmologyGenetics
- Partner nations
- United StatesSaudi Arabia
In The Last Decade
Sudha Neelam
27 papers receiving 811 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 366
- Radiology, Nuclear Medicine and Imaging 183
- Endocrinology 182
- Surgery 156
- Immunology 136
Countries citing papers authored by Sudha Neelam
This map shows the geographic impact of Sudha Neelam'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 Sudha Neelam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudha Neelam more than expected).
Fields of papers citing papers by Sudha Neelam
This network shows the impact of papers produced by Sudha Neelam. 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 Sudha Neelam. The network helps show where Sudha Neelam may publish in the future.
Co-authorship network of co-authors of Sudha Neelam
This figure shows the co-authorship network connecting the top 25 collaborators of Sudha Neelam. A scholar is included among the top collaborators of Sudha Neelam 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 Sudha Neelam. Sudha Neelam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 17 | |
| 3 | 1 | |
| 4 | Pathobiology and Immunobiology of Acanthamoeba Keratitis: Insights from Animal Models
. | 45 |
| 5 | 9 | |
| 6 | Inhibition of hypoxia inducible factor-1α downregulates the expression of epithelial to mesenchymal transition early marker proteins without undermining cell survival in hypoxic lens epithelial cells. | 8 |
| 7 | 21 | |
| 8 | 79 | |
| 9 | Lenticular mitoprotection. Part A: Monitoring mitochondrial depolarization with JC-1 and artifactual fluorescence by the glycogen synthase kinase-3β inhibitor, SB216763. | 63 |
| 10 | Lenticular mitoprotection. Part B: GSK-3β and regulation of mitochondrial permeability transition for lens epithelial cells in atmospheric oxygen. | 5 |
| 11 | 16 | |
| 12 | 19 | |
| 13 | 21 | |
| 14 | 17 | |
| 15 | 14 | |
| 16 | 21 | |
| 17 | 19 | |
| 18 | 5 | |
| 19 | 242 | |
| 20 | 76 |
About Sudha Neelam
Sudha Neelam is a scholar working on Endocrinology, Ophthalmology and Immunology, having authored 28 papers that have together received 823 indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (8 papers), Connexins and lens biology (6 papers) and Ocular Surface and Contact Lens (6 papers). The work is most often cited by research in Endocrinology (182 citations), Ophthalmology (132 citations) and Genetics (121 citations). Sudha Neelam has collaborated with scholars based in United States and Saudi Arabia. Frequent co-authors include Jérry Y. Niederkorn, Hassan Alizadeh, Haochuan Li, James P. McCulley, Elizabeth Mayhew, R. Ann Word, Patrick R. Cammarata, Steven R. Goodman, David Kakhniashvili and Rafał Fudala. Their work appears in journals such as The Journal of Immunology, Scientific Reports and The FASEB Journal.
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.