Janet Geisselsoder
Impact in
Papers in
- Ecology 10
- Bacteriophages and microbial interactions 10
-
- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Joseph M. Campos (2 shared papers)David R. Zusman (2 shared papers)Frank R. Witney (3 shared papers)John McClary (2 shared papers)Richard Neal Goldstein (5 shared papers)Richard L. Calendar (3 shared papers)M. Mandel (3 shared papers)Matthew C. Lorence (1 shared paper)
- Journals
- Journal of Molecular Biology (7 papers)Radiation Research (5 papers)Infection and Immunity (1 paper)Physics in Medicine and Biology (1 paper)Virology (1 paper)
- Partner nations
- United StatesSwedenNorway
In The Last Decade
Janet Geisselsoder
22 papers receiving 725 citations
Peers
Comparison fields: 5 of 79
- Ecology 354
- Genetics 325
- Molecular Biology 594
- Microbiology 44
- Pharmacology 52
Countries citing papers authored by Janet Geisselsoder
This map shows the geographic impact of Janet Geisselsoder'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 Janet Geisselsoder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet Geisselsoder more than expected).
Fields of papers citing papers by Janet Geisselsoder
This network shows the impact of papers produced by Janet Geisselsoder. 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 Janet Geisselsoder. The network helps show where Janet Geisselsoder may publish in the future.
Co-authors
The 25 scholars most cited alongside Janet Geisselsoder, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1978 | 258 | |
| 2 | Efficient site-directed in vitro mutagenesis using phagemid vectors. | 1989 | 107 |
| 3 | 1992 | 97 | |
| 4 | 1978 | 46 | |
| 5 | 1973 | 40 | |
| 6 | 2000 | 38 | |
| 7 | 1981 | 34 | |
| 8 | 1978 | 33 | |
| 9 | 1976 | 27 | |
| 10 | 1978 | 26 | |
| 11 | 1978 | 26 | |
| 12 | 1963 | 20 | |
| 13 | 1982 | 17 | |
| 14 | 1991 | 15 | |
| 15 | 1963 | 12 | |
| 16 | 1956 | 8 | |
| 17 | 1969 | 7 | |
| 18 | Physical properties of phage 299. | 1970 | 6 |
| 19 | 1970 | 5 | |
| 20 | 1977 | 4 |
About Janet Geisselsoder
Janet Geisselsoder is a scholar working on Ecology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Bioengineering and Microbiology, having authored 22 papers that have together received 828 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (10 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), RNA and protein synthesis mechanisms (3 papers), CRISPR and Genetic Engineering (2 papers), Genomics and Phylogenetic Studies (2 papers), Virology and Viral Diseases (2 papers), Adipose Tissue and Metabolism (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Ecology (354 citations), Genetics (325 citations), Molecular Biology (594 citations), Microbiology (44 citations) and Pharmacology (52 citations). Janet Geisselsoder has collaborated with scholars based in United States, Sweden and Norway. Frequent co-authors include Joseph M. Campos, David R. Zusman, Frank R. Witney, John McClary, Richard Neal Goldstein, Richard L. Calendar, M. Mandel, Matthew C. Lorence, Sandra E. Graham-Lorence and Monjula Chidambaram. Their work appears in journals such as Journal of Molecular Biology, Radiation Research, Infection and Immunity, Physics in Medicine and Biology and Virology.
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.