Joseph Kramer
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
-
- RNA Research and Splicing 4
- Developmental Biology and Gene Regulation 4
- Epigenetics and DNA Methylation 3
- RNA and protein synthesis mechanisms 3
- Nuclear Structure and Function 2
- Genomics and Chromatin Dynamics 2
-
- Microtubule and mitosis dynamics 3
- Co-authors
- Paul M. Bingham (4 shared papers)Zuzana Zachar (3 shared papers)R. Scott Hawley (3 shared papers)William E. Theurkauf (1 shared paper)Yi‐Shan Cheng (3 shared papers)Sunita G. Kramer (3 shared papers)K Van Doren (1 shared paper)David T. Harris (1 shared paper)
- Journals
- Developmental Biology (2 papers)Nature Cell Biology (2 papers)Genetics (2 papers)PLoS ONE (2 papers)iScience (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Joseph Kramer
17 papers receiving 430 citations
Peers
Comparison fields: 5 of 66
- Aging 13
- Cell Biology 114
- Molecular Biology 367
- Structural Biology 4
- Cellular and Molecular Neuroscience 37
Countries citing papers authored by Joseph Kramer
This map shows the geographic impact of Joseph Kramer'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 Joseph Kramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Kramer more than expected).
Fields of papers citing papers by Joseph Kramer
This network shows the impact of papers produced by Joseph Kramer. 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 Joseph Kramer. The network helps show where Joseph Kramer may publish in the future.
Co-authors
The 25 scholars most cited alongside Joseph Kramer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 118 | |
| 2 | 2000 | 55 | |
| 3 | 2003 | 44 | |
| 4 | 2003 | 35 | |
| 5 | 1994 | 27 | |
| 6 | 1994 | 24 | |
| 7 | 1994 | 21 | |
| 8 | 2018 | 20 | |
| 9 | 2013 | 19 | |
| 10 | 2013 | 16 | |
| 11 | 2012 | 16 | |
| 12 | 2014 | 13 | |
| 13 | 2003 | 12 | |
| 14 | [Prevention of spinal injuries at the work place]. | 1990 | 5 |
| 15 | 2024 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2017 | 2 | |
| 18 | 2024 | 0 | |
| 19 | The Function of the Hukou System in Post-Revolutionary China & its Autonomous Regions | 2020 | 0 |
About Joseph Kramer
Joseph Kramer is a scholar working on Molecular Biology, Cell Biology, Genetics, Plant Science and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 434 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Developmental Biology and Gene Regulation (4 papers), Epigenetics and DNA Methylation (3 papers), Chromosomal and Genetic Variations (3 papers), Microtubule and mitosis dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers), Nuclear Structure and Function (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Aging (13 citations), Cell Biology (114 citations), Molecular Biology (367 citations), Structural Biology (4 citations) and Cellular and Molecular Neuroscience (37 citations). Joseph Kramer has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Paul M. Bingham, Zuzana Zachar, R. Scott Hawley, William E. Theurkauf, Yi‐Shan Cheng, Sunita G. Kramer, K Van Doren, David T. Harris, Charisse M Orme and Michael J. Palladino. Their work appears in journals such as Developmental Biology, Nature Cell Biology, Genetics, PLoS ONE and iScience.
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.