Pam Fredman
Impact in
- Neurology top 0.5%
- Cell Biology top 1%
- Caveolin-1 and cellular processes
Papers in
-
- Glycosylation and Glycoproteins Research 88
- Immunology 36
- Galectins and Cancer Biology 19
- Co-authors
- Lars Svennerholm (75 shared papers)Jan‐Eric Månsson (41 shared papers)Kaj Blennow (29 shared papers)Jan Holmgren (12 shared papers)Pia Davidsson (13 shared papers)Karsten Buschard (22 shared papers)Camilla Hesse (6 shared papers)Britt‐Marie Rynmark (9 shared papers)
- Journals
- Journal of Neurochemistry (12 papers)Acta Neurologica Scandinavica (7 papers)Dementia and Geriatric Cognitive Disorders (5 papers)FEBS Letters (5 papers)European Journal of Biochemistry (5 papers)
- Partner nations
- SwedenUnited StatesDenmark
In The Last Decade
Pam Fredman
175 papers receiving 7.5k citations
Pam Fredman's Hit Papers
Peers
Comparison fields: 5 of 133
- Neurology 1.2k
- Cell Biology 1.1k
- Physiology 1.5k
- Immunology 1.3k
- Molecular Biology 4.0k
Countries citing papers authored by Pam Fredman
This map shows the geographic impact of Pam Fredman'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 Pam Fredman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pam Fredman more than expected).
Fields of papers citing papers by Pam Fredman
This network shows the impact of papers produced by Pam Fredman. 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 Pam Fredman. The network helps show where Pam Fredman may publish in the future.
Co-authors
The 25 scholars most cited alongside Pam Fredman, 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 177 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A procedure for the quantitative isolation of brain gangliosides Hit paper breakdown → | 1980 | 670 |
| 2 | 1991 | 281 | |
| 3 | 1989 | 245 | |
| 4 | 1998 | 209 | |
| 5 | 2004 | 184 | |
| 6 | 1994 | 147 | |
| 7 | 2002 | 134 | |
| 8 | 2004 | 123 | |
| 9 | 1998 | 122 | |
| 10 | 1980 | 119 | |
| 11 | 1982 | 117 | |
| 12 | 1980 | 116 | |
| 13 | 1991 | 111 | |
| 14 | 1988 | 105 | |
| 15 | 1984 | 104 | |
| 16 | 2002 | 96 | |
| 17 | 1996 | 94 | |
| 18 | 2009 | 93 | |
| 19 | 2008 | 92 | |
| 20 | 1985 | 90 |
About Pam Fredman
Pam Fredman is a scholar working on Molecular Biology, Immunology, Neurology, Cell Biology and Physiology, having authored 177 papers that have together received 7.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (88 papers), Monoclonal and Polyclonal Antibodies Research (22 papers), Galectins and Cancer Biology (19 papers), Pancreatic function and diabetes (18 papers), Caveolin-1 and cellular processes (18 papers), Diabetes and associated disorders (16 papers), Neuroblastoma Research and Treatments (15 papers) and Alzheimer's disease research and treatments (14 papers). The work is most often cited by research in Neurology (1.2k citations), Cell Biology (1.1k citations), Physiology (1.5k citations), Immunology (1.3k citations) and Molecular Biology (4.0k citations). Pam Fredman has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include Lars Svennerholm, Jan‐Eric Månsson, Kaj Blennow, Jan Holmgren, Pia Davidsson, Karsten Buschard, Camilla Hesse, Britt‐Marie Rynmark, Kerstin Boström and Carsten Wikkelsø. Their work appears in journals such as Journal of Neurochemistry, Acta Neurologica Scandinavica, Dementia and Geriatric Cognitive Disorders, FEBS Letters and European Journal of Biochemistry.
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.