Ian H. Carlson
- Pediatrics, Perinatology and Child Health top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Reproductive Medicine top 5%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Gary L. LensmeyerDonald A. WiebeRay V. HaningWarren P. PorterCarl J. GettoDonald T. FullertonJames JaegerWilliam J. Swift
- Topics
- Renal Transplantation Outcomes and Treatments (7 papers)Pharmacological Effects and Toxicity Studies (5 papers)Hormonal and reproductive studies (4 papers)
- Partner nations
- United StatesDenmarkCanada
In The Last Decade
Ian H. Carlson
39 papers receiving 931 citations
Peers
Comparison fields: 5 of 115
- Pediatrics, Perinatology and Child Health 210
- Molecular Biology 187
- Endocrinology, Diabetes and Metabolism 187
- Reproductive Medicine 177
- Public Health, Environmental and Occupational Health 143
Countries citing papers authored by Ian H. Carlson
This map shows the geographic impact of Ian H. Carlson'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 Ian H. Carlson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian H. Carlson more than expected).
Fields of papers citing papers by Ian H. Carlson
This network shows the impact of papers produced by Ian H. Carlson. 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 Ian H. Carlson. The network helps show where Ian H. Carlson may publish in the future.
Co-authorship network of co-authors of Ian H. Carlson
This figure shows the co-authorship network connecting the top 25 collaborators of Ian H. Carlson. A scholar is included among the top collaborators of Ian H. Carlson 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 Ian H. Carlson. Ian H. Carlson 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 | 16 | |
| 3 | 42 | |
| 4 | 59 | |
| 5 | 59 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 42 | |
| 9 | 46 | |
| 10 | Three commercial polyclonal immunoassays for cyclosporine in whole blood compared: 2. Cross-reactivity of the antisera with cyclosporine metabolites. | 12 |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 42 | |
| 14 | 27 | |
| 15 | 94 | |
| 16 | 14 | |
| 17 | 20 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 19 |
About Ian H. Carlson
Ian H. Carlson is a scholar working on Transplantation, Biological Psychiatry and Endocrine and Autonomic Systems, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (7 papers), Pharmacological Effects and Toxicity Studies (5 papers) and Hormonal and reproductive studies (4 papers). The work is most often cited by research in Transplantation (78 citations), Reproductive Medicine (177 citations) and Behavioral Neuroscience (46 citations). Ian H. Carlson has collaborated with scholars based in United States, Denmark and Canada. Frequent co-authors include Gary L. Lensmeyer, Donald A. Wiebe, Ray V. Haning, Warren P. Porter, Carl J. Getto, Donald T. Fullerton, James Jaeger, William J. Swift, Sander S. Shapiro and Michael J. MacDonald. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer and Diabetes.
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.