Martin H. Kroll
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Physiology top 5%
- Pathology and Forensic Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- R J ElinPornpen SrisawasdiCaixia BiHarvey W. KaufmanKenneth EmancipatorMichael F. HolickJustin K. NilesSomlak Vanavanan
- Topics
- Clinical Laboratory Practices and Quality Control (16 papers)Pharmacogenetics and Drug Metabolism (9 papers)Meta-analysis and systematic reviews (9 papers)
- Partner nations
- United StatesThailandGermany
In The Last Decade
Martin H. Kroll
103 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 174
- Cardiology and Cardiovascular Medicine 480
- Molecular Biology 463
- Physiology 393
- Pathology and Forensic Medicine 379
- Endocrinology, Diabetes and Metabolism 367
Countries citing papers authored by Martin H. Kroll
This map shows the geographic impact of Martin H. Kroll'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 Martin H. Kroll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin H. Kroll more than expected).
Fields of papers citing papers by Martin H. Kroll
This network shows the impact of papers produced by Martin H. Kroll. 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 Martin H. Kroll. The network helps show where Martin H. Kroll may publish in the future.
Co-authorship network of co-authors of Martin H. Kroll
This figure shows the co-authorship network connecting the top 25 collaborators of Martin H. Kroll. A scholar is included among the top collaborators of Martin H. Kroll 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 Martin H. Kroll. Martin H. Kroll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 18 | |
| 4 | 30 | |
| 5 | 38 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 15 | |
| 9 | 12 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | Missouri practitioners show notable improvement in diabetic kidney disease screenings. | 1 |
| 14 | 7 | |
| 15 | 34 | |
| 16 | 47 | |
| 17 | 2 | |
| 18 | 11 | |
| 19 | Osteoporosis prevention with sex hormone replacement therapy. | 9 |
| 20 | 6 |
About Martin H. Kroll
Martin H. Kroll is a scholar working on Statistics, Probability and Uncertainty, Nephrology and Internal Medicine, having authored 108 papers that have together received 2.9k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (16 papers), Pharmacogenetics and Drug Metabolism (9 papers) and Meta-analysis and systematic reviews (9 papers). The work is most often cited by research in Nephrology (220 citations), Nutrition and Dietetics (352 citations) and Endocrinology, Diabetes and Metabolism (367 citations). Martin H. Kroll has collaborated with scholars based in United States, Thailand and Germany. Frequent co-authors include R J Elin, Pornpen Srisawasdi, Caixia Bi, Harvey W. Kaufman, Kenneth Emancipator, Michael F. Holick, Justin K. Niles, Somlak Vanavanan, Patrick J. Twomey and Kiang-Teck J. Yeo. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer.
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.