E. M. Goodman
Impact in
- Biophysics top 0.5%
- Electromagnetic Fields and Biological Effects
- Physiology top 1%
- Magnetic and Electromagnetic Effects
- Biofield Effects and Biophysics
- Spaceflight effects on biology
Papers in
-
- Slime Mold and Myxomycetes Research 16
-
- Plant and Biological Electrophysiology Studies 9
- Co-authors
- Ben Greenebaum (21 shared papers)Michael T. Marron (14 shared papers)H. P. Rusch (5 shared papers)Paul T. Sharpe (3 shared papers)Helmut W. Sauer (2 shared papers)Robbyn L. Tuinstra (3 shared papers)L A Sauer (1 shared paper)T. Beck (1 shared paper)
- Journals
- Bioelectromagnetics (5 papers)Radiation Research (3 papers)Cellular and Molecular Life Sciences (2 papers)FEBS Letters (2 papers)Canadian Journal of Microbiology (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
E. M. Goodman
28 papers receiving 734 citations
Peers
Comparison fields: 5 of 88
- Biophysics 423
- Physiology 269
- Physiology 251
- Biotechnology 90
- Aging 14
Countries citing papers authored by E. M. Goodman
This map shows the geographic impact of E. M. Goodman'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 E. M. Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. M. Goodman more than expected).
Fields of papers citing papers by E. M. Goodman
This network shows the impact of papers produced by E. M. Goodman. 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 E. M. Goodman. The network helps show where E. M. Goodman may publish in the future.
Co-authors
The 13 scholars most cited alongside E. M. Goodman, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 255 | |
| 2 | 1988 | 48 | |
| 3 | 1993 | 46 | |
| 4 | 1970 | 41 | |
| 5 | 1998 | 40 | |
| 6 | 1980 | 39 | |
| 7 | 1994 | 37 | |
| 8 | 1975 | 34 | |
| 9 | 1986 | 33 | |
| 10 | 1969 | 32 | |
| 11 | 1972 | 31 | |
| 12 | 1976 | 27 | |
| 13 | 1979 | 21 | |
| 14 | 1986 | 20 | |
| 15 | 1998 | 20 | |
| 16 | 1991 | 19 | |
| 17 | 1969 | 17 | |
| 18 | 1983 | 16 | |
| 19 | 1974 | 15 | |
| 20 | 1969 | 12 |
About E. M. Goodman
E. M. Goodman is a scholar working on Biomedical Engineering, Plant Science, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Physiology, having authored 30 papers that have together received 841 indexed citations. Recurring topics across this work include Slime Mold and Myxomycetes Research (16 papers), Plant and Biological Electrophysiology Studies (9 papers), Biocrusts and Microbial Ecology (8 papers), Electromagnetic Fields and Biological Effects (7 papers), Diatoms and Algae Research (6 papers), Magnetic and Electromagnetic Effects (6 papers), Biofield Effects and Biophysics (5 papers) and Spaceflight effects on biology (4 papers). The work is most often cited by research in Biophysics (423 citations), Physiology (269 citations), Physiology (251 citations), Biotechnology (90 citations) and Aging (14 citations). E. M. Goodman has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Ben Greenebaum, Michael T. Marron, H. P. Rusch, Paul T. Sharpe, Helmut W. Sauer, Robbyn L. Tuinstra, L A Sauer, T. Beck, Orla Smith and Karlee L. Babcock. Their work appears in journals such as Bioelectromagnetics, Radiation Research, Cellular and Molecular Life Sciences, FEBS Letters and Canadian Journal of Microbiology.
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.