Joel S. Hayflick
- Molecular Biology top 1%
- Immunology top 1%
- Oncology top 1%
- Genetics top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Co-authors
- Peter H. SeeburgDavid V. GoeddelP. H. SeeburgDiane PennicaThomas J. DullMichael A. PalladinoAnthony J. MasonAlbert W. Tam
- Topics
- Cell Adhesion Molecules Research (11 papers)Monoclonal and Polyclonal Antibodies Research (8 papers)Growth Hormone and Insulin-like Growth Factors (6 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Joel S. Hayflick
42 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 4.3k
- Immunology 1.9k
- Oncology 1.9k
- Genetics 1.2k
- Radiology, Nuclear Medicine and Imaging 1.1k
Countries citing papers authored by Joel S. Hayflick
This map shows the geographic impact of Joel S. Hayflick'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 Joel S. Hayflick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel S. Hayflick more than expected).
Fields of papers citing papers by Joel S. Hayflick
This network shows the impact of papers produced by Joel S. Hayflick. 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 Joel S. Hayflick. The network helps show where Joel S. Hayflick may publish in the future.
Co-authorship network of co-authors of Joel S. Hayflick
This figure shows the co-authorship network connecting the top 25 collaborators of Joel S. Hayflick. A scholar is included among the top collaborators of Joel S. Hayflick 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 Joel S. Hayflick. Joel S. Hayflick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 53 | |
| 3 | 40 | |
| 4 | 20 | |
| 5 | 173 | |
| 6 | 29 | |
| 7 | 8 | |
| 8 | 121 | |
| 9 | 26 | |
| 10 | 13 | |
| 11 | 36 | |
| 12 | 83 | |
| 13 | 51 | |
| 14 | 139 | |
| 15 | Isolation of gene and hypothalamic cDNA for common precursor of gonadotropin releasing hormone (GnRH) and prolactin release inhibiting factor (PIF) in human and rat | 3 |
| 16 | Complementary DNA sequences of ovarian follicular fluid inhibin show precursor structure and homology with transforming growth factor-βbreakdown → | 597 |
| 17 | 36 | |
| 18 | 39 | |
| 19 | 120 | |
| 20 | 50 |
About Joel S. Hayflick
Joel S. Hayflick is a scholar working on Immunology and Allergy, Reproductive Medicine and Immunology, having authored 42 papers that have together received 8.0k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (11 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). The work is most often cited by research in Reproductive Medicine (823 citations), Immunology (1.9k citations) and Immunology and Allergy (479 citations). Joel S. Hayflick has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Peter H. Seeburg, David V. Goeddel, P. H. Seeburg, Diane Pennica, Thomas J. Dull, Michael A. Palladino, Anthony J. Mason, Albert W. Tam, Bharat B. Aggarwal and Erik De Clercq. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.