Ben H. Leichtling
- Molecular Biology
- Cell Biology top 5%
- Biomedical Engineering
- Ecology, Evolution, Behavior and Systematics
- Cellular and Molecular Neuroscience
- Co-authors
- H.V. RickenbergEva SpitzIrene MajerfeldDavid W. ArmstrongRichard FirtelRichard H. GomerWesley D. WicksK Schaller
- Topics
- Cellular Mechanics and Interactions (10 papers)Phosphodiesterase function and regulation (3 papers)Glycosylation and Glycoproteins Research (2 papers)
- Cited by
- Cell BiologyAgingMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryBiochemical and Biophysical Research Communications
- Partner nations
- United States
In The Last Decade
Ben H. Leichtling
20 papers receiving 437 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 295
- Cell Biology 295
- Biomedical Engineering 55
- Ecology, Evolution, Behavior and Systematics 51
- Cellular and Molecular Neuroscience 49
Countries citing papers authored by Ben H. Leichtling
This map shows the geographic impact of Ben H. Leichtling'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 Ben H. Leichtling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben H. Leichtling more than expected).
Fields of papers citing papers by Ben H. Leichtling
This network shows the impact of papers produced by Ben H. Leichtling. 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 Ben H. Leichtling. The network helps show where Ben H. Leichtling may publish in the future.
Co-authorship network of co-authors of Ben H. Leichtling
This figure shows the co-authorship network connecting the top 25 collaborators of Ben H. Leichtling. A scholar is included among the top collaborators of Ben H. Leichtling 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 Ben H. Leichtling. Ben H. Leichtling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 83 | |
| 3 | 14 | |
| 4 | 14 | |
| 5 | 2 | |
| 6 | 56 | |
| 7 | 52 | |
| 8 | 22 | |
| 9 | 27 | |
| 10 | 12 | |
| 11 | 39 | |
| 12 | 32 | |
| 13 | 29 | |
| 14 | 18 | |
| 15 | 6 | |
| 16 | 8 | |
| 17 | 2 | |
| 18 | 20 | |
| 19 | 6 | |
| 20 | 37 |
About Ben H. Leichtling
Ben H. Leichtling is a scholar working on Cell Biology, Transplantation and Molecular Biology, having authored 20 papers that have together received 482 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (10 papers), Phosphodiesterase function and regulation (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cell Biology (295 citations), Aging (11 citations) and Molecular Biology (295 citations). Ben H. Leichtling has collaborated with scholars based in United States. Frequent co-authors include H.V. Rickenberg, Eva Spitz, Irene Majerfeld, David W. Armstrong, Richard Firtel, Richard H. Gomer, Wesley D. Wicks, K Schaller, Clive Woffendin and Shizuko Kakinuma. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.
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.