Donald K. McRorie
- Molecular Biology
- Materials Chemistry
- Oncology
- Spectroscopy top 10%
- Biochemistry top 10%
- Co-authors
- William F. DeGradoDuilio CascioDavid EisenbergSeunghyon ChoeBrett LovejoyVincent L. PecoraroGregg R. DieckmannKim A. Sharp
- Topics
- Enzyme Structure and Function (3 papers)RNA modifications and cancer (2 papers)Amino Acid Enzymes and Metabolism (2 papers)
- Partner nations
- United States
In The Last Decade
Donald K. McRorie
10 papers receiving 722 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 525
- Materials Chemistry 159
- Oncology 96
- Spectroscopy 90
- Biochemistry 73
Countries citing papers authored by Donald K. McRorie
This map shows the geographic impact of Donald K. McRorie'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 Donald K. McRorie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald K. McRorie more than expected).
Fields of papers citing papers by Donald K. McRorie
This network shows the impact of papers produced by Donald K. McRorie. 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 Donald K. McRorie. The network helps show where Donald K. McRorie may publish in the future.
Co-authorship network of co-authors of Donald K. McRorie
This figure shows the co-authorship network connecting the top 25 collaborators of Donald K. McRorie. A scholar is included among the top collaborators of Donald K. McRorie 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 Donald K. McRorie. Donald K. McRorie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Proteomic changes in bovine heart mitochondria with age: using a novel technique for organelle separation and enrichment. | 14 |
| 2 | Comparison of Golgi apparatus and endoplasmic reticulum proteins from livers of juvenile and aged rats using a novel technique for separation and enrichment of organelles. | 8 |
| 3 | Self-Associating Systems in the Analytical Ultracentrifuge | 49 |
| 4 | 109 | |
| 5 | 139 | |
| 6 | 238 | |
| 7 | Identification and partial characterization of a nucleolar antigen with a molecular weight of 145,000 found in a broad range of human cancers. | 44 |
| 8 | 73 | |
| 9 | 3 | |
| 10 | 58 |
About Donald K. McRorie
Donald K. McRorie is a scholar working on Biochemistry, Spectroscopy and Statistics, Probability and Uncertainty, having authored 10 papers that have together received 735 indexed citations. Recurring topics across this work include Enzyme Structure and Function (3 papers), RNA modifications and cancer (2 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Biochemistry (73 citations), Molecular Biology (525 citations) and Clinical Biochemistry (41 citations). Donald K. McRorie has collaborated with scholars based in United States. Frequent co-authors include William F. DeGrado, Duilio Cascio, David Eisenberg, Seunghyon Choe, Brett Lovejoy, Vincent L. Pecoraro, Gregg R. Dieckmann, Kim A. Sharp, James D. Lear and Steven Zweig. Their work appears in journals such as Science, Journal of the American Chemical Society and Journal of Molecular Biology.
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.