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 ⓘ
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- Fungal and yeast genetics research 10
- DNA Repair Mechanisms 5
- Protist diversity and phylogeny 4
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- 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)Qian Fang (1 shared paper)
- Journals
- Molecular and Cellular Biology (5 papers)Proceedings of the National Academy of Sciences (4 papers)Molecular Biology of the Cell (1 paper)Gene (1 paper)The Journal of Cell Biology (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 714
- Molecular Biology 874
- Cell Biology 206
- Environmental Engineering 137
- Electrochemistry 33
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 | 159 | |
| 2 | 2004 | 140 | |
| 3 | 1994 | 118 | |
| 4 | 1989 | 104 | |
| 5 | 2006 | 91 | |
| 6 | 1988 | 89 | |
| 7 | 1990 | 83 | |
| 8 | 2006 | 76 | |
| 9 | 2011 | 68 | |
| 10 | 2007 | 57 | |
| 11 | 1997 | 52 | |
| 12 | 2013 | 46 | |
| 13 | 1993 | 45 | |
| 14 | 2000 | 44 | |
| 15 | 1990 | 42 | |
| 16 | 1995 | 28 | |
| 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 Fungal and yeast genetics research (10 papers), Chromosomal and Genetic Variations (10 papers), DNA Repair Mechanisms (5 papers), Protist diversity and phylogeny (4 papers), Plant Disease Resistance and Genetics (4 papers), Biofuel production and bioconversion (3 papers), Microbial Community Ecology and Physiology (3 papers) and Parasitic Infections and Diagnostics (2 papers). The work is most often cited by research in Plant Science (714 citations), Molecular Biology (874 citations), Cell Biology (206 citations), Environmental Engineering (137 citations) and Electrochemistry (33 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, Qian Fang, Qianhong Gu and Karen M. Hahnenberger. Their work appears in journals such as Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, Molecular Biology of the Cell, Gene and The Journal of Cell Biology.
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.