Nicholas J. Laping
- Molecular Biology top 2%
- Oncology top 2%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Neurology top 1%
- Co-authors
- John D. HarlingJames F. CallahanLaramie M. GasterCaleb E. FinchNancy R. NicholsFrancisco José NicolásAlastair D. ReithGareth J. Inman
- Topics
- TGF-β signaling in diseases (15 papers)S100 Proteins and Annexins (11 papers)Urinary Bladder and Prostate Research (9 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Nicholas J. Laping
82 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 3.7k
- Oncology 988
- Cellular and Molecular Neuroscience 719
- Physiology 597
- Neurology 567
Countries citing papers authored by Nicholas J. Laping
This map shows the geographic impact of Nicholas J. Laping'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 Nicholas J. Laping with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas J. Laping more than expected).
Fields of papers citing papers by Nicholas J. Laping
This network shows the impact of papers produced by Nicholas J. Laping. 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 Nicholas J. Laping. The network helps show where Nicholas J. Laping may publish in the future.
Co-authorship network of co-authors of Nicholas J. Laping
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas J. Laping. A scholar is included among the top collaborators of Nicholas J. Laping 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 Nicholas J. Laping. Nicholas J. Laping is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 11 | |
| 3 | 174 | |
| 4 | 32 | |
| 5 | 18 | |
| 6 | 15 | |
| 7 | SB-431542 Is a Potent and Specific Inhibitor of Transforming Growth Factor-β Superfamily Type I Activin Receptor-Like Kinase (ALK) Receptors ALK4, ALK5, and ALK7breakdown → | 1406 |
| 8 | 17 | |
| 9 | 32 | |
| 10 | 24 | |
| 11 | 5 | |
| 12 | 17 | |
| 13 | 10 | |
| 14 | 29 | |
| 15 | 191 | |
| 16 | 71 | |
| 17 | 48 | |
| 18 | 6 | |
| 19 | 12 | |
| 20 | 10 |
About Nicholas J. Laping
Nicholas J. Laping is a scholar working on Behavioral Neuroscience, Urology and Neurology, having authored 82 papers that have together received 6.3k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (15 papers), S100 Proteins and Annexins (11 papers) and Urinary Bladder and Prostate Research (9 papers). The work is most often cited by research in Developmental Neuroscience (376 citations), Neurology (567 citations) and Behavioral Neuroscience (192 citations). Nicholas J. Laping has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include John D. Harling, James F. Callahan, Laramie M. Gaster, Caleb E. Finch, Nancy R. Nichols, Francisco José Nicolás, Alastair D. Reith, Gareth J. Inman, Caroline S. Hill and Jonathan Day. Their work appears in journals such as Cancer Research, Brain Research and Clinical Cancer Research.
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.