Donald J. Abraham
- Molecular Biology top 2%
- Organic Chemistry top 2%
- Computational Theory and Mathematics top 0.5%
- Physiology top 2%
- Cell Biology top 1%
- Co-authors
- Glen E. KelloggWilliam E. KlunkJay W. PettegrewMartin K. SafoPietro CozziniAndrea MozzarelliAlbert J. LeoSimon F. Semus
- Topics
- Hemoglobin structure and function (39 papers)Protein Structure and Dynamics (31 papers)Hemoglobinopathies and Related Disorders (19 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesItalyFrance
In The Last Decade
Donald J. Abraham
144 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 3.2k
- Organic Chemistry 1.1k
- Computational Theory and Mathematics 1.1k
- Physiology 896
- Cell Biology 879
Countries citing papers authored by Donald J. Abraham
This map shows the geographic impact of Donald J. Abraham'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 J. Abraham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald J. Abraham more than expected).
Fields of papers citing papers by Donald J. Abraham
This network shows the impact of papers produced by Donald J. Abraham. 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 J. Abraham. The network helps show where Donald J. Abraham may publish in the future.
Co-authorship network of co-authors of Donald J. Abraham
This figure shows the co-authorship network connecting the top 25 collaborators of Donald J. Abraham. A scholar is included among the top collaborators of Donald J. Abraham 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 J. Abraham. Donald J. Abraham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Burger's medicinal chemistry, drug discovery, and development | 126 |
| 2 | Cardiovascular, endocrine, and metabolic diseases | 1 |
| 3 | 33 | |
| 4 | 48 | |
| 5 | 204 | |
| 6 | 77 | |
| 7 | 29 | |
| 8 | Cardiovascular agents and endocrines | 4 |
| 9 | Autocoids, diagnostics, and drugs from new biology | 1 |
| 10 | Nervous system agents | 1 |
| 11 | 9 | |
| 12 | 26 | |
| 13 | 21 | |
| 14 | 6 | |
| 15 | 10 | |
| 16 | 29 | |
| 17 | 2 | |
| 18 | 35 | |
| 19 | 35 | |
| 20 | 95 |
About Donald J. Abraham
Donald J. Abraham is a scholar working on Cell Biology, Genetics and Pharmacology, having authored 144 papers that have together received 5.9k indexed citations. Recurring topics across this work include Hemoglobin structure and function (39 papers), Protein Structure and Dynamics (31 papers) and Hemoglobinopathies and Related Disorders (19 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Genetics (608 citations) and Cell Biology (879 citations). Donald J. Abraham has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Glen E. Kellogg, William E. Klunk, Jay W. Pettegrew, Martin K. Safo, Pietro Cozzini, Andrea Mozzarelli, Albert J. Leo, Simon F. Semus, Micaela Fornabaio and M. F. Perutz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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.