Kurt K. Lohman
-
- Cardiovascular Function and Risk Factors 2
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference 6
- Statistical Methods and Inference 3
- Advanced Causal Inference Techniques 3
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment 2
-
- Health disparities and outcomes 2
-
- Bone and Joint Diseases 2
- Bone health and osteoporosis research 2
- Co-authors
- J. Jeffrey CarrFang‐Chi HsuJohn S. PreisserPaul J. RathouzLynne E. WagenknechtYongmei LiuStephen B. KritchevskyBeth A. Reboussin
- Journals
- Journal of the American Statistical Association (3 papers)American Journal of Nephrology (1 paper)Annals of Epidemiology (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Kurt K. Lohman
15 papers receiving 982 citations
Peers
Comparison fields: 5 of 97
- Cardiology and Cardiovascular Medicine 459
- Statistics and Probability 130
- Epidemiology 307
- Endocrinology, Diabetes and Metabolism 107
- Physiology 145
Countries citing papers authored by Kurt K. Lohman
This map shows the geographic impact of Kurt K. Lohman'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 Kurt K. Lohman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kurt K. Lohman more than expected).
Fields of papers citing papers by Kurt K. Lohman
This network shows the impact of papers produced by Kurt K. Lohman. 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 Kurt K. Lohman. The network helps show where Kurt K. Lohman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kurt K. Lohman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 33 | |
| 2 | 2011 | 41 | |
| 3 | 2009 | 370 | |
| 4 | 2008 | 158 | |
| 5 | 2007 | 6 | |
| 6 | 2006 | 8 | |
| 7 | 2006 | 25 | |
| 8 | 2005 | 56 | |
| 9 | 2005 | 118 | |
| 10 | 2004 | 17 | |
| 11 | 2002 | 118 | |
| 12 | 2002 | 7 | |
| 13 | 2001 | 20 | |
| 14 | 2000 | 28 | |
| 15 | 2000 | 6 |
About Kurt K. Lohman
Kurt K. Lohman is a scholar working on Statistics and Probability, Nephrology and Health, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (6 papers), Statistical Methods and Inference (3 papers), Advanced Causal Inference Techniques (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Cardiovascular Function and Risk Factors (2 papers), Health disparities and outcomes (2 papers), Bone and Joint Diseases (2 papers) and Bone health and osteoporosis research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (459 citations), Statistics and Probability (130 citations) and Epidemiology (307 citations). Kurt K. Lohman has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include J. Jeffrey Carr, Fang‐Chi Hsu, John S. Preisser, Paul J. Rathouz, Lynne E. Wagenknecht, Yongmei Liu, Stephen B. Kritchevsky, Beth A. Reboussin, Barry I. Freedman and Jingzhong Ding. Their work appears in journals such as Journal of the American Statistical Association, American Journal of Nephrology, Annals of Epidemiology, Journal of the American Society of Nephrology and Human Molecular Genetics.
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.