Lindley C. Blair
- Molecular Biology top 10%
- Cell Biology top 5%
- Oncology
- Plant Science
- Biotechnology top 5%
- Co-authors
- Jeremy ThornerAnthony J. BrakeDavid JuliusG. F. SpragueRiyo KunisawaIra HerskowitzPeter J. KushnerRussell K. Chan
- Topics
- Fungal and yeast genetics research (8 papers)Plant Reproductive Biology (3 papers)Peptidase Inhibition and Analysis (2 papers)
- Partner nations
- United StatesRussia
In The Last Decade
Lindley C. Blair
12 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Molecular Biology 1.1k
- Cell Biology 379
- Oncology 163
- Plant Science 141
- Biotechnology 121
Countries citing papers authored by Lindley C. Blair
This map shows the geographic impact of Lindley C. Blair'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 Lindley C. Blair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lindley C. Blair more than expected).
Fields of papers citing papers by Lindley C. Blair
This network shows the impact of papers produced by Lindley C. Blair. 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 Lindley C. Blair. The network helps show where Lindley C. Blair may publish in the future.
Co-authorship network of co-authors of Lindley C. Blair
This figure shows the co-authorship network connecting the top 25 collaborators of Lindley C. Blair. A scholar is included among the top collaborators of Lindley C. Blair 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 Lindley C. Blair. Lindley C. Blair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 14 | |
| 3 | A new reverse SSO HLA DNA typing method using fluoresecent microspheres and flow analyzer | 1 |
| 4 | 55 | |
| 5 | 39 | |
| 6 | Isolation of the putative structural gene for the lysine-arginine-cleaving endopeptidase required for processing of yeast prepro-α-factorbreakdown → | 601 |
| 7 | 42 | |
| 8 | Yeast α factor is processed from a larger precursor polypeptide: The essential role of a membrane-bound dipeptidyl aminopeptidasebreakdown → | 355 |
| 9 | 163 | |
| 10 | 23 | |
| 11 | 27 | |
| 12 | 38 |
About Lindley C. Blair
Lindley C. Blair is a scholar working on Aging, Molecular Biology and Cell Biology, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (8 papers), Plant Reproductive Biology (3 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Cell Biology (379 citations), Molecular Biology (1.1k citations) and Biotechnology (121 citations). Lindley C. Blair has collaborated with scholars based in United States and Russia. Frequent co-authors include Jeremy Thorner, Anthony J. Brake, David Julius, G. F. Sprague, Riyo Kunisawa, Ira Herskowitz, Peter J. Kushner, Russell K. Chan, Jeffrey N. Strathern and Jasper Rine. 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.