Leslie J. Baier
- Molecular Biology top 5%
- Genetics top 1%
- Physiology top 1%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 1%
- Co-authors
- Clifton BogardusRobert L. HansonWilliam C. KnowlerSayuko KobesYunhua L. MullerP. Antonio TataranniMichael TraurigMichal Procházka
- Topics
- Genetic Associations and Epidemiology (36 papers)Pancreatic function and diabetes (27 papers)Adipose Tissue and Metabolism (24 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Leslie J. Baier
139 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 2.4k
- Genetics 1.5k
- Physiology 1.3k
- Surgery 877
- Endocrinology, Diabetes and Metabolism 840
Countries citing papers authored by Leslie J. Baier
This map shows the geographic impact of Leslie J. Baier'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 Leslie J. Baier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leslie J. Baier more than expected).
Fields of papers citing papers by Leslie J. Baier
This network shows the impact of papers produced by Leslie J. Baier. 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 Leslie J. Baier. The network helps show where Leslie J. Baier may publish in the future.
Co-authorship network of co-authors of Leslie J. Baier
This figure shows the co-authorship network connecting the top 25 collaborators of Leslie J. Baier. A scholar is included among the top collaborators of Leslie J. Baier 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 Leslie J. Baier. Leslie J. Baier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 16 | |
| 5 | 13 | |
| 6 | 26 | |
| 7 | 21 | |
| 8 | 14 | |
| 9 | 11 | |
| 10 | 21 | |
| 11 | 21 | |
| 12 | 16 | |
| 13 | 122 | |
| 14 | 233 | |
| 15 | 51 | |
| 16 | 62 | |
| 17 | 146 | |
| 18 | 150 | |
| 19 | 307 | |
| 20 | 20 |
About Leslie J. Baier
Leslie J. Baier is a scholar working on Genetics, Endocrine and Autonomic Systems and Physiology, having authored 141 papers that have together received 5.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (36 papers), Pancreatic function and diabetes (27 papers) and Adipose Tissue and Metabolism (24 papers). The work is most often cited by research in Endocrine and Autonomic Systems (390 citations), Genetics (1.5k citations) and Physiology (1.3k citations). Leslie J. Baier has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Clifton Bogardus, Robert L. Hanson, William C. Knowler, Sayuko Kobes, Yunhua L. Muller, P. Antonio Tataranni, Michael Traurig, Michal Procházka, James C. Sacchettini and Peter H. Bennett. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.