Daniel R. Twardzik
- Molecular Biology top 2%
- Genetics top 1%
- Oncology top 2%
- Epidemiology top 5%
- Immunology top 5%
- Co-authors
- George J. TodaroStephen M. SchwartzJane RanchalisHans MarquardtSteven G. ReedRonald L. HeimarkLars Melholt RasmussenErkki Ruoslahti
- Topics
- Virus-based gene therapy research (16 papers)TGF-β signaling in diseases (11 papers)Growth Hormone and Insulin-like Growth Factors (10 papers)
- Partner nations
- United StatesGermanyFinland
In The Last Decade
Daniel R. Twardzik
68 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 3.5k
- Genetics 1.2k
- Oncology 1.1k
- Epidemiology 872
- Immunology 865
Countries citing papers authored by Daniel R. Twardzik
This map shows the geographic impact of Daniel R. Twardzik'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 Daniel R. Twardzik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Twardzik more than expected).
Fields of papers citing papers by Daniel R. Twardzik
This network shows the impact of papers produced by Daniel R. Twardzik. 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 Daniel R. Twardzik. The network helps show where Daniel R. Twardzik may publish in the future.
Co-authorship network of co-authors of Daniel R. Twardzik
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Twardzik. A scholar is included among the top collaborators of Daniel R. Twardzik 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 Daniel R. Twardzik. Daniel R. Twardzik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 133 | |
| 2 | 320 | |
| 3 | 101 | |
| 4 | 24 | |
| 5 | 1 | |
| 6 | 110 | |
| 7 | 471 | |
| 8 | 250 | |
| 9 | 97 | |
| 10 | 60 | |
| 11 | 46 | |
| 12 | 172 | |
| 13 | 20 | |
| 14 | 23 | |
| 15 | 85 | |
| 16 | 5 | |
| 17 | 27 | |
| 18 | 32 | |
| 19 | 13 | |
| 20 | Comparison of DNA polymerase activities from an American Burkitt's lymphoma cell line and EBV producer and nonproducer cells. | 1 |
About Daniel R. Twardzik
Daniel R. Twardzik is a scholar working on Virology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 72 papers that have together received 7.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (16 papers), TGF-β signaling in diseases (11 papers) and Growth Hormone and Insulin-like Growth Factors (10 papers). The work is most often cited by research in Immunology and Allergy (617 citations), Developmental Neuroscience (327 citations) and Virology (324 citations). Daniel R. Twardzik has collaborated with scholars based in United States, Germany and Finland. Frequent co-authors include George J. Todaro, Stephen M. Schwartz, Jane Ranchalis, Hans Marquardt, Steven G. Reed, Ronald L. Heimark, Lars Melholt Rasmussen, Erkki Ruoslahti, A. Hildebrand and Wayne A. Border. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.