Mary Baum
Impact in
- Plant Science top 5%
- Chromosomal and Genetic Variations
- Plant Disease Resistance and Genetics
- Molecular Biology top 10%
- Fungal and yeast genetics research
- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
Papers in
-
- Fungal and yeast genetics research 10
- DNA Repair Mechanisms 5
- Protist diversity and phylogeny 4
-
- Chromosomal and Genetic Variations 10
- Plant Disease Resistance and Genetics 4
- Co-authors
- John Carbon (7 shared papers)Ian N. Clarke (4 shared papers)Louise Clarke (5 shared papers)Kaustuv Sanyal (2 shared papers)Prashant Mishra (3 shared papers)Vivian K. Ngan (2 shared papers)Daniel E. Morse (2 shared papers)Qianhong Gu (1 shared paper)
- Journals
- Molecular and Cellular Biology (5 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of Experimental Biology (1 paper)Gene (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Mary Baum
20 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 74
- Plant Science 704
- Molecular Biology 855
- Cell Biology 202
- Environmental Engineering 138
- Electrochemistry 34
Countries citing papers authored by Mary Baum
This map shows the geographic impact of Mary Baum'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 Mary Baum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Baum more than expected).
Fields of papers citing papers by Mary Baum
This network shows the impact of papers produced by Mary Baum. 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 Mary Baum. The network helps show where Mary Baum may publish in the future.
Co-authors
The 25 scholars most cited alongside Mary Baum, 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 | 2009 | 160 | |
| 2 | 2004 | 140 | |
| 3 | 1994 | 117 | |
| 4 | 1989 | 103 | |
| 5 | 2006 | 91 | |
| 6 | 1988 | 89 | |
| 7 | 1990 | 83 | |
| 8 | 2006 | 76 | |
| 9 | 2011 | 69 | |
| 10 | 2007 | 56 | |
| 11 | 1997 | 52 | |
| 12 | 2013 | 46 | |
| 13 | 1993 | 44 | |
| 14 | 2000 | 43 | |
| 15 | 1990 | 41 | |
| 16 | 1995 | 29 | |
| 17 | 1983 | 15 | |
| 18 | 1992 | 14 | |
| 19 | 1984 | 11 | |
| 20 | 1987 | 6 |
About Mary Baum
Mary Baum is a scholar working on Molecular Biology, Plant Science, Ecology, Biomedical Engineering and Cell Biology, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (10 papers), Fungal and yeast genetics research (10 papers), DNA Repair Mechanisms (5 papers), Protist diversity and phylogeny (4 papers), Plant Disease Resistance and Genetics (4 papers), Microbial Community Ecology and Physiology (3 papers), Biofuel production and bioconversion (3 papers) and Parasitic Infections and Diagnostics (2 papers). The work is most often cited by research in Plant Science (704 citations), Molecular Biology (855 citations), Cell Biology (202 citations), Environmental Engineering (138 citations) and Electrochemistry (34 citations). Mary Baum has collaborated with scholars based in United States, India and Germany. Frequent co-authors include John Carbon, Ian N. Clarke, Louise Clarke, Kaustuv Sanyal, Prashant Mishra, Vivian K. Ngan, Daniel E. Morse, Qianhong Gu, Qian Fang and Karen M. Hahnenberger. Their work appears in journals such as Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, Journal of Experimental Biology, Gene and Molecular Biology of the Cell.
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.