Laura J. Bloem
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Hematology top 5%
- Oncology
- Co-authors
- J. Howard PrattAmita K. ManatungaDuane A. TewksburyWilliam H. KonigsbergR BachChris J. VlahosWalter T. AmbrosiusYale Nemerson
- Topics
- Hormonal Regulation and Hypertension (8 papers)Melanoma and MAPK Pathways (4 papers)Receptor Mechanisms and Signaling (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesSwitzerlandCzechia
In The Last Decade
Laura J. Bloem
32 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 825
- Cardiology and Cardiovascular Medicine 479
- Endocrinology, Diabetes and Metabolism 398
- Hematology 210
- Oncology 181
Countries citing papers authored by Laura J. Bloem
This map shows the geographic impact of Laura J. Bloem'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 Laura J. Bloem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura J. Bloem more than expected).
Fields of papers citing papers by Laura J. Bloem
This network shows the impact of papers produced by Laura J. Bloem. 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 Laura J. Bloem. The network helps show where Laura J. Bloem may publish in the future.
Co-authorship network of co-authors of Laura J. Bloem
This figure shows the co-authorship network connecting the top 25 collaborators of Laura J. Bloem. A scholar is included among the top collaborators of Laura J. Bloem 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 Laura J. Bloem. Laura J. Bloem 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 | 62 | |
| 3 | 16 | |
| 4 | 37 | |
| 5 | 69 | |
| 6 | 11 | |
| 7 | 4 | |
| 8 | 43 | |
| 9 | 5 | |
| 10 | 17 | |
| 11 | 77 | |
| 12 | 23 | |
| 13 | 54 | |
| 14 | 6 | |
| 15 | 114 | |
| 16 | 217 | |
| 17 | Relation of race and a polymorphism in the angiotensin I-converting enzyme gene to enzyme levels | 15 |
| 18 | 18 | |
| 19 | 27 | |
| 20 | 63 |
About Laura J. Bloem
Laura J. Bloem is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (8 papers), Melanoma and MAPK Pathways (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (398 citations), Cardiology and Cardiovascular Medicine (479 citations) and Hematology (210 citations). Laura J. Bloem has collaborated with scholars based in United States, Switzerland and Czechia. Frequent co-authors include J. Howard Pratt, Amita K. Manatunga, Duane A. Tewksbury, William H. Konigsberg, R Bach, Chris J. Vlahos, Walter T. Ambrosius, Yale Nemerson, Anirban Guha and Kenneth R. Williams. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.