Albert A. Dietz
- Molecular Biology
- Pharmacology top 2%
- Plant Science top 10%
- Epidemiology
- Computational Theory and Mathematics top 2%
- Co-authors
- T LubranoH M RubinsteinHerbert M. RubinsteinRajagopalan SrinivasanHorace J. SpencerD OsisYale RabinowitzBernhard Steinberg
- Topics
- Cholinesterase and Neurodegenerative Diseases (14 papers)Computational Drug Discovery Methods (9 papers)Pesticide Exposure and Toxicity (5 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Albert A. Dietz
53 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 457
- Pharmacology 375
- Plant Science 308
- Epidemiology 215
- Computational Theory and Mathematics 198
Countries citing papers authored by Albert A. Dietz
This map shows the geographic impact of Albert A. Dietz'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 Albert A. Dietz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert A. Dietz more than expected).
Fields of papers citing papers by Albert A. Dietz
This network shows the impact of papers produced by Albert A. Dietz. 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 Albert A. Dietz. The network helps show where Albert A. Dietz may publish in the future.
Co-authorship network of co-authors of Albert A. Dietz
This figure shows the co-authorship network connecting the top 25 collaborators of Albert A. Dietz. A scholar is included among the top collaborators of Albert A. Dietz 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 Albert A. Dietz. Albert A. Dietz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 3 | |
| 3 | Endotoxaemia in acute viral hepatitis. | 2 |
| 4 | Purine metabolic cycle in normal and leukemic leukocytes. | 14 |
| 5 | 53 | |
| 6 | 10 | |
| 7 | 18 | |
| 8 | Improved method for the differentiation of cholinesterase variants. | 28 |
| 9 | 11 | |
| 10 | 52 | |
| 11 | 98 | |
| 12 | 7 | |
| 13 | 30 | |
| 14 | 31 | |
| 15 | 6 | |
| 16 | 21 | |
| 17 | 10 | |
| 18 | 8 | |
| 19 | 5 | |
| 20 | 2 |
About Albert A. Dietz
Albert A. Dietz is a scholar working on Pharmacology, Computational Theory and Mathematics and Cancer Research, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (14 papers), Computational Drug Discovery Methods (9 papers) and Pesticide Exposure and Toxicity (5 papers). The work is most often cited by research in Pharmacology (375 citations), Hepatology (133 citations) and Nutrition and Dietetics (197 citations). Albert A. Dietz has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include T Lubrano, H M Rubinstein, Herbert M. Rubinstein, Rajagopalan Srinivasan, Horace J. Spencer, D Osis, Yale Rabinowitz, Bernhard Steinberg, Philip J. Garry and L. B. Seeff. Their work appears in journals such as Nature, The Lancet and Journal of Clinical Investigation.
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.