David B. Kaback
Impact in
- Molecular Biology top 5%
- Fungal and yeast genetics research
- DNA Repair Mechanisms
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
-
- Fungal and yeast genetics research 40
- DNA Repair Mechanisms 19
- RNA and protein synthesis mechanisms 14
- Genomics and Chromatin Dynamics 11
- CRISPR and Genetic Engineering 9
- Microbial Metabolic Engineering and Bioproduction 6
- Genetics 11
- Bacterial Genetics and Biotechnology 10
- Co-authors
- Norman DavidsonH. Yde SteensmaArnold B. BartonVincent GuacciMichael RosbashD. L. BarberJ C CrowleyLynna M. Hereford
- Journals
- Genetics (10 papers)Yeast (8 papers)Proceedings of the National Academy of Sciences (8 papers)Molecular and Cellular Biology (8 papers)Gene (3 papers)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
David B. Kaback
57 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 2.1k
- Cell Biology 272
- Aging 25
- Plant Science 501
- Genetics 321
Countries citing papers authored by David B. Kaback
This map shows the geographic impact of David B. Kaback'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 B. Kaback with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David B. Kaback more than expected).
Fields of papers citing papers by David B. Kaback
This network shows the impact of papers produced by David B. Kaback. 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 B. Kaback. The network helps show where David B. Kaback may publish in the future.
Co-authors
The 25 scholars most cited alongside David B. Kaback, 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 | 2008 | 3 | |
| 2 | 2004 | 29 | |
| 3 | 1997 | 3 | |
| 4 | 1996 | 39 | |
| 5 | 1994 | 27 | |
| 6 | 1994 | 5 | |
| 7 | 1993 | 12 | |
| 8 | 1993 | 23 | |
| 9 | 1993 | 4 | |
| 10 | 1992 | 45 | |
| 11 | 1992 | 144 | |
| 12 | 1992 | 28 | |
| 13 | 1991 | 57 | |
| 14 | 1990 | 11 | |
| 15 | 1989 | 39 | |
| 16 | 1989 | 14 | |
| 17 | 1987 | 56 | |
| 18 | 1986 | 21 | |
| 19 | 1985 | 34 | |
| 20 | 1980 | 16 |
About David B. Kaback
David B. Kaback is a scholar working on Molecular Biology, Genetics, Plant Science, Biochemistry and Cell Biology, having authored 58 papers that have together received 2.3k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (40 papers), DNA Repair Mechanisms (19 papers), RNA and protein synthesis mechanisms (14 papers), Genomics and Chromatin Dynamics (11 papers), Bacterial Genetics and Biotechnology (10 papers), CRISPR and Genetic Engineering (9 papers), Plant Disease Resistance and Genetics (7 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Cell Biology (272 citations), Aging (25 citations), Plant Science (501 citations) and Genetics (321 citations). David B. Kaback has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Norman Davidson, H. Yde Steensma, Arnold B. Barton, Vincent Guacci, Michael Rosbash, D. L. Barber, J C Crowley, Lynna M. Hereford, John L. Woolford and Lynne M. Angerer. Their work appears in journals such as Genetics, Yeast, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Gene.
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.