D.J. Hakes
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 10%
- Protein Tyrosine Phosphatases
- Protein Kinase Regulation and GTPase Signaling
- RNA Research and Splicing
- Glycosylation and Glycoproteins Research
- Fungal and yeast genetics research
- Genomics and Chromatin Dynamics
Papers in
-
- Glycosylation and Glycoproteins Research 3
- Ubiquitin and proteasome pathways 3
- Protein Tyrosine Phosphatases 2
- Protein purification and stability 2
- RNA modifications and cancer 2
-
- Enzyme Structure and Function 3
- Co-authors
- Jack E. Dixon (1 shared paper)Jack E. Dixon (7 shared papers)Ronald Berezney (2 shared papers)J.E. Dixon (3 shared papers)K J Martell (3 shared papers)Seung Kwak (2 shared papers)Nigel P. Birch (4 shared papers)David Barford (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Proceedings of the National Academy of Sciences (3 papers)Biochemical and Biophysical Research Communications (2 papers)Glycobiology (1 paper)Endocrinology (1 paper)
- Partner nations
- United StatesNew ZealandCameroon
In The Last Decade
D.J. Hakes
16 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 84
- Cell Biology 191
- Molecular Biology 777
- Toxicology 20
- Cellular and Molecular Neuroscience 88
- Oncology 130
Countries citing papers authored by D.J. Hakes
This map shows the geographic impact of D.J. Hakes'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.J. Hakes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.J. Hakes more than expected).
Fields of papers citing papers by D.J. Hakes
This network shows the impact of papers produced by D.J. Hakes. 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.J. Hakes. The network helps show where D.J. Hakes may publish in the future.
Co-authors
The 25 scholars most cited alongside D.J. Hakes, 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 | 1992 | 230 | |
| 2 | 1994 | 155 | |
| 3 | 1993 | 152 | |
| 4 | 1992 | 79 | |
| 5 | 1991 | 73 | |
| 6 | 1991 | 68 | |
| 7 | 1991 | 67 | |
| 8 | 1993 | 47 | |
| 9 | 1993 | 40 | |
| 10 | 1991 | 36 | |
| 11 | 2004 | 24 | |
| 12 | 1994 | 21 | |
| 13 | 1994 | 18 | |
| 14 | 2007 | 5 | |
| 15 | 1993 | 5 | |
| 16 | Improved vectors for expression and purification of recombinant proteins | 1993 | 1 |
About D.J. Hakes
D.J. Hakes is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Genetics and Organic Chemistry, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Enzyme Structure and Function (3 papers), Ubiquitin and proteasome pathways (3 papers), Protein Tyrosine Phosphatases (2 papers), Protein purification and stability (2 papers), RNA modifications and cancer (2 papers), Pancreatic function and diabetes (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Cell Biology (191 citations), Molecular Biology (777 citations), Toxicology (20 citations), Cellular and Molecular Neuroscience (88 citations) and Oncology (130 citations). D.J. Hakes has collaborated with scholars based in United States, New Zealand and Cameroon. Frequent co-authors include Jack E. Dixon, Jack E. Dixon, Ronald Berezney, J.E. Dixon, K J Martell, Seung Kwak, Nigel P. Birch, David Barford, James C. Clemens and Kun‐Liang Guan. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, Glycobiology and Endocrinology.
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.