Warren C. Lathe
- Molecular Biology top 10%
- Genetics top 10%
- Plant Science top 10%
- Ecology
- Computational Theory and Mathematics
- Co-authors
- Peer BorkBerend SnelMartijn A. HuynenThomas H. EickbushDanna G. EickbushShamil SunyaevWilliam D. BurkeMary Mangan
- Topics
- Genomics and Phylogenetic Studies (13 papers)RNA and protein synthesis mechanisms (10 papers)Chromosomal and Genetic Variations (6 papers)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Warren C. Lathe
20 papers receiving 950 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 852
- Genetics 253
- Plant Science 186
- Ecology 107
- Computational Theory and Mathematics 31
Countries citing papers authored by Warren C. Lathe
This map shows the geographic impact of Warren C. Lathe'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 Warren C. Lathe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warren C. Lathe more than expected).
Fields of papers citing papers by Warren C. Lathe
This network shows the impact of papers produced by Warren C. Lathe. 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 Warren C. Lathe. The network helps show where Warren C. Lathe may publish in the future.
Co-authorship network of co-authors of Warren C. Lathe
This figure shows the co-authorship network connecting the top 25 collaborators of Warren C. Lathe. A scholar is included among the top collaborators of Warren C. Lathe 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 Warren C. Lathe. Warren C. Lathe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 18 | |
| 3 | The UCSC Genome Browser: What Every Molecular Biologist Should Know: The UCSC Genome Browser | 1 |
| 4 | 8 | |
| 5 | 15 | |
| 6 | 6 | |
| 7 | Integration of genome data and protein structures: prediction of protein folds, protein interactions and 'molecular phenotypes' of single nucleotide polymorphisms (Reprinted from Current Opinion in Structural Biology, vol 11, pg 125-130, 2001) | 3 |
| 8 | 12 | |
| 9 | 42 | |
| 10 | 49 | |
| 11 | 154 | |
| 12 | 360 | |
| 13 | 11 | |
| 14 | 69 | |
| 15 | 68 | |
| 16 | 36 | |
| 17 | 20 | |
| 18 | 23 | |
| 19 | 37 | |
| 20 | 33 |
About Warren C. Lathe
Warren C. Lathe is a scholar working on Molecular Biology, Plant Science and Microbiology, having authored 21 papers that have together received 974 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), RNA and protein synthesis mechanisms (10 papers) and Chromosomal and Genetic Variations (6 papers). The work is most often cited by research in Molecular Biology (852 citations), Genetics (253 citations) and Plant Science (186 citations). Warren C. Lathe has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Peer Bork, Berend Snel, Martijn A. Huynen, Thomas H. Eickbush, Danna G. Eickbush, Shamil Sunyaev, William D. Burke, Mary Mangan, Jennifer M. Williams and M. Pilar Francino. Their work appears in journals such as Science, Genetics and Trends in Biochemical 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.