Mark A. Hancock
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
- Microbiology top 5%
Papers in
-
- Porphyrin Metabolism and Disorders 5
- Retinoids in leukemia and cellular processes 3
-
- Protease and Inhibitor Mechanisms 9
- Co-authors
- Marlys L. Koschinsky (8 shared papers)Peter Grütter (2 shared papers)Santiago Costantino (1 shared paper)Nela Durisic (1 shared paper)Jeffrey M. Mativetsky (1 shared paper)Eric A. Shoubridge (1 shared paper)Brett A. Kaufman (1 shared paper)Santica M. Marcovina (3 shared papers)
- Journals
- Journal of Biological Chemistry (11 papers)Biochemistry (4 papers)Molecular Genetics and Metabolism (2 papers)Molecular Microbiology (2 papers)Molecular Cell (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Mark A. Hancock
53 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 108
- Clinical Biochemistry 219
- Microbiology 105
- Molecular Biology 1.1k
- Endocrinology 75
- Oncology 290
Countries citing papers authored by Mark A. Hancock
This map shows the geographic impact of Mark A. Hancock'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 Mark A. Hancock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Hancock more than expected).
Fields of papers citing papers by Mark A. Hancock
This network shows the impact of papers produced by Mark A. Hancock. 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 Mark A. Hancock. The network helps show where Mark A. Hancock may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark A. Hancock, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 333 | |
| 2 | 2020 | 240 | |
| 3 | 2020 | 185 | |
| 4 | 2008 | 146 | |
| 5 | 2017 | 140 | |
| 6 | 2003 | 112 | |
| 7 | 1998 | 69 | |
| 8 | 1999 | 64 | |
| 9 | 2014 | 57 | |
| 10 | 2019 | 47 | |
| 11 | 1997 | 46 | |
| 12 | 2010 | 44 | |
| 13 | 2006 | 43 | |
| 14 | 2015 | 38 | |
| 15 | 2014 | 38 | |
| 16 | 2015 | 33 | |
| 17 | 2016 | 33 | |
| 18 | 2015 | 32 | |
| 19 | 2010 | 32 | |
| 20 | 2017 | 31 |
About Mark A. Hancock
Mark A. Hancock is a scholar working on Molecular Biology, Cancer Research, Physiology, Genetics and Hematology, having authored 53 papers that have together received 2.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Protease and Inhibitor Mechanisms (9 papers), Bacterial Genetics and Biotechnology (8 papers), Bacteriophages and microbial interactions (6 papers), Escherichia coli research studies (5 papers), Porphyrin Metabolism and Disorders (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Clinical Biochemistry (219 citations), Microbiology (105 citations), Molecular Biology (1.1k citations), Endocrinology (75 citations) and Oncology (290 citations). Mark A. Hancock has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Marlys L. Koschinsky, Peter Grütter, Santiago Costantino, Nela Durisic, Jeffrey M. Mativetsky, Eric A. Shoubridge, Brett A. Kaufman, Santica M. Marcovina, Hanadi F. Sleiman and Michael B. Boffa. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Molecular Genetics and Metabolism, Molecular Microbiology and Molecular Cell.
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.