David T. Kurtz
- Molecular Biology top 10%
- Genetics top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Oncology
- Cancer Research top 10%
- Co-authors
- Philip FeigelsonAlbrecht E. SippelMargaret M. KellyKwok‐Ming ChanWilliam R. AddisonChristina Voelkel‐JohnsonChristopher F. NicodemusShai White‐Gilbertson
- Topics
- RNA and protein synthesis mechanisms (7 papers)Hormonal and reproductive studies (5 papers)Protein Kinase Regulation and GTPase Signaling (5 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
David T. Kurtz
46 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 974
- Genetics 296
- Endocrinology, Diabetes and Metabolism 272
- Oncology 230
- Cancer Research 162
Countries citing papers authored by David T. Kurtz
This map shows the geographic impact of David T. Kurtz'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 David T. Kurtz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Kurtz more than expected).
Fields of papers citing papers by David T. Kurtz
This network shows the impact of papers produced by David T. Kurtz. 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 David T. Kurtz. The network helps show where David T. Kurtz may publish in the future.
Co-authorship network of co-authors of David T. Kurtz
This figure shows the co-authorship network connecting the top 25 collaborators of David T. Kurtz. A scholar is included among the top collaborators of David T. Kurtz 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 David T. Kurtz. David T. Kurtz 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 | 30 | |
| 3 | 62 | |
| 4 | 10 | |
| 5 | 14 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 19 | |
| 9 | 16 | |
| 10 | 23 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | Sleep, aging, and related disorders | 3 |
| 14 | 11 | |
| 15 | 54 | |
| 16 | ADN recombinante: introducción a la ingeniería genética | 1 |
| 17 | 20 | |
| 18 | Comparison of in vivo translation rates and messenger RNA levels of alpha2U-globulin in rat liver and Morris hepatoma 5123D. | 44 |
| 19 | A propos de certains effets toxiques de la L-asparaginase en thérapeutique humaine. | 1 |
| 20 | 1 |
About David T. Kurtz
David T. Kurtz is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Hepatology, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Hormonal and reproductive studies (5 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (272 citations), Molecular Biology (974 citations) and Cancer Research (162 citations). David T. Kurtz has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Philip Feigelson, Albrecht E. Sippel, Margaret M. Kelly, Kwok‐Ming Chan, William R. Addison, Christina Voelkel‐Johnson, Christopher F. Nicodemus, Shai White‐Gilbertson, Michael Wigler and Sharon Dana. Their work appears in journals such as Nature, Cell 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.