Neal Farber
- Molecular Biology
- Reproductive Medicine top 2%
- Public Health, Environmental and Occupational Health top 5%
- Genetics top 10%
- Immunology top 10%
- Co-authors
- Robert J. MattalianoRichard TizardRichard L. CateCatherine HessionK L RamachandranE P ChowDavid T. MacLaughlinPatricia K. Donahoe
- Topics
- Immune Cell Function and Interaction (3 papers)Immune Response and Inflammation (3 papers)RNA and protein synthesis mechanisms (3 papers)
- Cited by
- Reproductive MedicineEndocrine and Autonomic SystemsPublic Health, Environmental and Occupational Health
- Partner nations
- United StatesFranceTaiwan
In The Last Decade
Neal Farber
14 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 615
- Reproductive Medicine 360
- Public Health, Environmental and Occupational Health 335
- Genetics 320
- Immunology 228
Countries citing papers authored by Neal Farber
This map shows the geographic impact of Neal Farber'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 Neal Farber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neal Farber more than expected).
Fields of papers citing papers by Neal Farber
This network shows the impact of papers produced by Neal Farber. 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 Neal Farber. The network helps show where Neal Farber may publish in the future.
Co-authorship network of co-authors of Neal Farber
This figure shows the co-authorship network connecting the top 25 collaborators of Neal Farber. A scholar is included among the top collaborators of Neal Farber 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 Neal Farber. Neal Farber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 187 | |
| 6 | 16 | |
| 7 | 59 | |
| 8 | 196 | |
| 9 | Isolation of the bovine and human genes for müllerian inhibiting substance and expression of the human gene in animal cellsbreakdown → | 836 |
| 10 | 70 | |
| 11 | 8 | |
| 12 | 16 | |
| 13 | 25 | |
| 14 | 20 |
About Neal Farber
Neal Farber is a scholar working on Immunology, Immunology and Allergy and Experimental and Cognitive Psychology, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Immune Response and Inflammation (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Reproductive Medicine (360 citations), Endocrine and Autonomic Systems (90 citations) and Public Health, Environmental and Occupational Health (335 citations). Neal Farber has collaborated with scholars based in United States, France and Taiwan. Frequent co-authors include Robert J. Mattaliano, Richard Tizard, Richard L. Cate, Catherine Hession, K L Ramachandran, E P Chow, David T. MacLaughlin, Patricia K. Donahoe, Richard C. Ragin and T F Manganaro. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.