D.D. Soderman
Impact in
- Biochemistry top 2%
- Eicosanoids and Hypertension Pharmacology
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Glycosylation and Glycoproteins Research 2
-
- Eicosanoids and Hypertension Pharmacology 3
- Co-authors
- F. A. Kuehl (4 shared papers)Edward A. Ham (4 shared papers)Kenneth A. Thomas (3 shared papers)Greg Conn (2 shared papers)Marie‐Therese Schaeffer (2 shared papers)Michela Zanetti (1 shared paper)Ermengilda McCauley (1 shared paper)Harry W. Dougherty (1 shared paper)
- Journals
- Journal of Biological Chemistry (6 papers)Proceedings of the National Academy of Sciences (3 papers)Prostaglandins (1 paper)Experimental Cell Research (1 paper)Biochemical Journal (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
D.D. Soderman
12 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 96
- Biochemistry 199
- Cancer Research 233
- Pharmacology 256
- Immunology and Allergy 79
- Molecular Biology 776
Countries citing papers authored by D.D. Soderman
This map shows the geographic impact of D.D. Soderman'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 D.D. Soderman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.D. Soderman more than expected).
Fields of papers citing papers by D.D. Soderman
This network shows the impact of papers produced by D.D. Soderman. 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 D.D. Soderman. The network helps show where D.D. Soderman may publish in the future.
Co-authors
The 25 scholars most cited alongside D.D. Soderman, 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 | 1990 | 321 | |
| 2 | 1983 | 259 | |
| 3 | 1990 | 202 | |
| 4 | 1979 | 189 | |
| 5 | 1991 | 89 | |
| 6 | 1991 | 74 | |
| 7 | 1991 | 71 | |
| 8 | 1986 | 53 | |
| 9 | 1985 | 46 | |
| 10 | 1991 | 28 | |
| 11 | 1979 | 24 | |
| 12 | 1964 | 16 |
About D.D. Soderman
D.D. Soderman is a scholar working on Molecular Biology, Biochemistry, Pharmacology, Immunology and Cancer Research, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Glycosylation and Glycoproteins Research (2 papers), Inflammatory mediators and NSAID effects (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Diet, Metabolism, and Disease (1 paper), Inflammation biomarkers and pathways (1 paper) and Magnetic and Electromagnetic Effects (1 paper). The work is most often cited by research in Biochemistry (199 citations), Cancer Research (233 citations), Pharmacology (256 citations), Immunology and Allergy (79 citations) and Molecular Biology (776 citations). D.D. Soderman has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include F. A. Kuehl, Edward A. Ham, Kenneth A. Thomas, Greg Conn, Marie‐Therese Schaeffer, Michela Zanetti, Ermengilda McCauley, Harry W. Dougherty, Kathleen A. Sullivan and Marvin Bayne. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Prostaglandins, Experimental Cell Research and Biochemical Journal.
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.