Mary Erman
Impact in
- Toxicology top 2%
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Steroid Chemistry and Biochemistry 6
- Enzyme Catalysis and Immobilization 3
-
- Enzyme Structure and Function 8
- Co-authors
- Debashis Ghosh (21 shared papers)Walter Pangborn (10 shared papers)Jennifer Griswold (3 shared papers)William L. Duax (12 shared papers)Charles M. Weeks (4 shared papers)Z. Wawrzak (4 shared papers)Mark W. Sawicki (4 shared papers)Paweł Grochulski (1 shared paper)
- Journals
- The Journal of Steroid Biochemistry and Molecular Biology (5 papers)Journal of Biological Chemistry (3 papers)Structure (3 papers)FEBS Letters (2 papers)Nature (2 papers)
- Partner nations
- United StatesSwedenChile
In The Last Decade
Mary Erman
27 papers receiving 1.5k citations
Mary Erman's Hit Papers
Peers
Comparison fields: 5 of 90
- Toxicology 98
- Pharmacology 245
- Endocrinology, Diabetes and Metabolism 338
- Genetics 476
- Biochemistry 88
Countries citing papers authored by Mary Erman
This map shows the geographic impact of Mary Erman'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 Erman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Erman more than expected).
Fields of papers citing papers by Mary Erman
This network shows the impact of papers produced by Mary Erman. 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 Erman. The network helps show where Mary Erman may publish in the future.
Co-authors
The 25 scholars most cited alongside Mary Erman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structural basis for androgen specificity and oestrogen synthesis in human aromatase Hit paper breakdown → | 2009 | 452 |
| 2 | 1991 | 213 | |
| 3 | 1994 | 180 | |
| 4 | 1999 | 103 | |
| 5 | 1995 | 94 | |
| 6 | 2009 | 87 | |
| 7 | 2001 | 83 | |
| 8 | 2001 | 54 | |
| 9 | 1994 | 53 | |
| 10 | 1999 | 40 | |
| 11 | 1994 | 37 | |
| 12 | 1992 | 24 | |
| 13 | 1977 | 19 | |
| 14 | 1999 | 19 | |
| 15 | 2004 | 16 | |
| 16 | 1991 | 12 | |
| 17 | 1999 | 11 | |
| 18 | 1995 | 10 | |
| 19 | 1993 | 6 | |
| 20 | 1996 | 6 |
About Mary Erman
Mary Erman is a scholar working on Molecular Biology, Materials Chemistry, Endocrinology, Diabetes and Metabolism, Pharmacology and Genetics, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Enzyme Structure and Function (8 papers), Steroid Chemistry and Biochemistry (6 papers), Estrogen and related hormone effects (5 papers), Hormonal Regulation and Hypertension (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Enzyme Catalysis and Immobilization (3 papers), Pharmacological Effects of Natural Compounds (3 papers) and Natural Antidiabetic Agents Studies (2 papers). The work is most often cited by research in Toxicology (98 citations), Pharmacology (245 citations), Endocrinology, Diabetes and Metabolism (338 citations), Genetics (476 citations) and Biochemistry (88 citations). Mary Erman has collaborated with scholars based in United States, Sweden and Chile. Frequent co-authors include Debashis Ghosh, Walter Pangborn, Jennifer Griswold, William L. Duax, Charles M. Weeks, Z. Wawrzak, Mark W. Sawicki, Paweł Grochulski, James C. Orr and В. З. Плетнев. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Journal of Biological Chemistry, Structure, FEBS Letters and Nature.
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.