Mark A. Hancock
- Clinical Biochemistry top 2%
- Microbiology top 5%
- Molecular Biology top 10%
- Porphyrin Metabolism and Disorders 5
- RNA Interference and Gene Delivery 3
- Endocrinology top 5%
- Escherichia coli research studies 5
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms 9
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- Alzheimer's disease research and treatments 9
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- Bacterial Genetics and Biotechnology 8
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- Bacteriophages and microbial interactions 6
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- Blood Coagulation and Thrombosis Mechanisms 4
- Co-authors
- Marlys L. KoschinskyPeter GrütterJeffrey M. MativetskyBrett A. KaufmanEric A. ShoubridgeNela DurisicSantiago CostantinoSantica M. Marcovina
- Journals
- Journal of Biological Chemistry (11 papers)Biochemistry (4 papers)Molecular Microbiology (2 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Mark A. Hancock
53 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 109
- Clinical Biochemistry 220
- Microbiology 108
- Molecular Biology 1.2k
- Endocrinology 76
- Cancer Research 191
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 10 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 233 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 178 | |
| 9 | 2019 | 47 | |
| 10 | 2017 | 31 | |
| 11 | 2016 | 33 | |
| 12 | 2015 | 38 | |
| 13 | 2014 | 57 | |
| 14 | 2011 | 4 | |
| 15 | 2011 | 13 | |
| 16 | 2010 | 43 | |
| 17 | 2007 | 330 | |
| 18 | 2006 | 43 | |
| 19 | 2003 | 108 | |
| 20 | 1999 | 63 |
About Mark A. Hancock
Mark A. Hancock is a scholar working on Endocrinology, Cancer Research, Structural Biology, Microbiology and Hematology, having authored 53 papers that have together received 2.2k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (9 papers), Alzheimer's disease research and treatments (9 papers), Bacterial Genetics and Biotechnology (8 papers), Bacteriophages and microbial interactions (6 papers), Porphyrin Metabolism and Disorders (5 papers), Escherichia coli research studies (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Clinical Biochemistry (220 citations), Microbiology (108 citations), Molecular Biology (1.2k citations), Endocrinology (76 citations) and Cancer Research (191 citations). Mark A. Hancock has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Marlys L. Koschinsky, Peter Grütter, Jeffrey M. Mativetsky, Brett A. Kaufman, Eric A. Shoubridge, Nela Durisic, Santiago Costantino, Santica M. Marcovina, Michael B. Boffa and Hanadi F. Sleiman. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Molecular Microbiology, Molecular Genetics and Metabolism and Scientific Reports.
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.