Kieran Koch‐Laskowski
- Molecular Biology
- Endocrine and Autonomic Systems top 5%
- Endocrinology, Diabetes and Metabolism
- Physiology
- Cellular and Molecular Neuroscience
- Co-authors
- Matthew R. HayesLauren E. McGrathElizabeth G. Mietlicki‐BaaseDavid J. ReinerJohn J. FerrieXing ChenE. James PeterssonJoanna Krawczyk
- Topics
- Neuropeptides and Animal Physiology (5 papers)Regulation of Appetite and Obesity (5 papers)Diet and metabolism studies (4 papers)
- Cited by
- Endocrine and Autonomic SystemsEndocrinology, Diabetes and MetabolismCellular and Molecular Neuroscience
- Partner nations
- United StatesBelgiumGermany
In The Last Decade
Kieran Koch‐Laskowski
13 papers receiving 338 citations
Peers
Comparison fields: 5 of 58
- Molecular Biology 123
- Endocrine and Autonomic Systems 120
- Endocrinology, Diabetes and Metabolism 87
- Physiology 87
- Cellular and Molecular Neuroscience 83
Countries citing papers authored by Kieran Koch‐Laskowski
This map shows the geographic impact of Kieran Koch‐Laskowski'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 Kieran Koch‐Laskowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kieran Koch‐Laskowski more than expected).
Fields of papers citing papers by Kieran Koch‐Laskowski
This network shows the impact of papers produced by Kieran Koch‐Laskowski. 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 Kieran Koch‐Laskowski. The network helps show where Kieran Koch‐Laskowski may publish in the future.
Co-authorship network of co-authors of Kieran Koch‐Laskowski
This figure shows the co-authorship network connecting the top 25 collaborators of Kieran Koch‐Laskowski. A scholar is included among the top collaborators of Kieran Koch‐Laskowski 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 Kieran Koch‐Laskowski. Kieran Koch‐Laskowski 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 | 12 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 39 | |
| 7 | 30 | |
| 8 | 10 | |
| 9 | 42 | |
| 10 | 8 | |
| 11 | 43 | |
| 12 | 49 | |
| 13 | 84 |
About Kieran Koch‐Laskowski
Kieran Koch‐Laskowski is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 339 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (5 papers), Regulation of Appetite and Obesity (5 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (120 citations), Endocrinology, Diabetes and Metabolism (87 citations) and Cellular and Molecular Neuroscience (83 citations). Kieran Koch‐Laskowski has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Matthew R. Hayes, Lauren E. McGrath, Elizabeth G. Mietlicki‐Baase, David J. Reiner, John J. Ferrie, Xing Chen, E. James Petersson, Joanna Krawczyk, Joel D. Hahn and Scott E. Kanoski. Their work appears in journals such as Journal of the American Chemical Society, Scientific Reports and Biological Psychiatry.
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.