Kim L. McBride
- Molecular Biology top 5%
- Genetics top 2%
- Epidemiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Matthew PastoreGail E. HermanSara Fitzgerald‐ButtLiz VargaThomas W. PriorVidu GargGloria ZenderJohn W. Belmont
- Topics
- Congenital heart defects research (30 papers)Congenital Heart Disease Studies (24 papers)Lysosomal Storage Disorders Research (16 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaNeurology
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Kim L. McBride
105 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.3k
- Genetics 807
- Epidemiology 717
- Cardiology and Cardiovascular Medicine 563
- Pulmonary and Respiratory Medicine 317
Countries citing papers authored by Kim L. McBride
This map shows the geographic impact of Kim L. McBride'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 Kim L. McBride with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim L. McBride more than expected).
Fields of papers citing papers by Kim L. McBride
This network shows the impact of papers produced by Kim L. McBride. 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 Kim L. McBride. The network helps show where Kim L. McBride may publish in the future.
Co-authorship network of co-authors of Kim L. McBride
This figure shows the co-authorship network connecting the top 25 collaborators of Kim L. McBride. A scholar is included among the top collaborators of Kim L. McBride 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 Kim L. McBride. Kim L. McBride 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 | 10 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 15 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 40 | |
| 10 | 40 | |
| 11 | 20 | |
| 12 | 1 | |
| 13 | Rationale for the Cytogenomics of Cardiovascular Malformations Consortium: A Phenotype Intensive Registry Based Approach | 2 |
| 14 | 83 | |
| 15 | 6 | |
| 16 | 43 | |
| 17 | 4 | |
| 18 | 12 | |
| 19 | 16 | |
| 20 | 81 |
About Kim L. McBride
Kim L. McBride is a scholar working on Clinical Biochemistry, Genetics and Genetics, having authored 108 papers that have together received 2.7k indexed citations. Recurring topics across this work include Congenital heart defects research (30 papers), Congenital Heart Disease Studies (24 papers) and Lysosomal Storage Disorders Research (16 papers). The work is most often cited by research in Genetics (807 citations), Cardiology and Cardiovascular Medicine (563 citations) and Epidemiology (717 citations). Kim L. McBride has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Matthew Pastore, Gail E. Herman, Sara Fitzgerald‐Butt, Liz Varga, Thomas W. Prior, Vidu Garg, Gloria Zender, John W. Belmont, Kevin M. Flanigan and Kandamurugu Manickam. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Neurology.
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.