Daniel A. Mercola
Impact in
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
- Cell death mechanisms and regulation
- Ubiquitin and proteasome pathways
- Protein Structure and Dynamics
- Cancer Research top 10%
- NF-κB Signaling Pathways
Papers in
-
- DNA and Nucleic Acid Chemistry 3
- Glycosylation and Glycoproteins Research 2
- Protein Kinase Regulation and GTPase Signaling 2
- Co-authors
- Bernard Binétruy (2 shared papers)Tod Smeal (2 shared papers)Michael Karin (2 shared papers)Michael J. Birrer (1 shared paper)Edward R. Arquilla (5 shared papers)J. W. Morris (4 shared papers)William Bromer (2 shared papers)Ulf R. Rapp (1 shared paper)
- Journals
- European Journal of Biochemistry (2 papers)Biochemistry (2 papers)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)Diabetes (1 paper)Nature (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Daniel A. Mercola
11 papers receiving 992 citations
Daniel A. Mercola's Hit Papers
Peers
Comparison fields: 5 of 87
- Molecular Biology 819
- Cancer Research 145
- Oncology 213
- Immunology 120
- Cell Biology 96
Countries citing papers authored by Daniel A. Mercola
This map shows the geographic impact of Daniel A. Mercola'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 Daniel A. Mercola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Mercola more than expected).
Fields of papers citing papers by Daniel A. Mercola
This network shows the impact of papers produced by Daniel A. Mercola. 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 Daniel A. Mercola. The network helps show where Daniel A. Mercola may publish in the future.
Co-authors
The 21 scholars most cited alongside Daniel A. Mercola, 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 | Oncogenic and transcriptional cooperation with Ha-Ras requires phosphorylation of c-Jun on serines 63 and 73 Hit paper breakdown → | 1991 | 715 |
| 2 | 1992 | 80 | |
| 3 | 1972 | 54 | |
| 4 | 1984 | 38 | |
| 5 | 1969 | 38 | |
| 6 | 1968 | 37 | |
| 7 | 1972 | 32 | |
| 8 | 1967 | 23 | |
| 9 | 1970 | 22 | |
| 10 | 1976 | 11 | |
| 11 | 1990 | 6 |
About Daniel A. Mercola
Daniel A. Mercola is a scholar working on Molecular Biology, Organic Chemistry, Nutrition and Dietetics, Oncology and Food Science, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (3 papers), Enzyme Structure and Function (2 papers), Glycosylation and Glycoproteins Research (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Cancer-related Molecular Pathways (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Advanced Scientific Research Methods (1 paper) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Molecular Biology (819 citations), Cancer Research (145 citations), Oncology (213 citations), Immunology (120 citations) and Cell Biology (96 citations). Daniel A. Mercola has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Bernard Binétruy, Tod Smeal, Michael Karin, Michael J. Birrer, Edward R. Arquilla, J. W. Morris, William Bromer, Ulf R. Rapp, Gisela Heidecker and Axel Wollmer. Their work appears in journals such as European Journal of Biochemistry, Biochemistry, Cold Spring Harbor Symposia on Quantitative Biology, Diabetes 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.