Mark C. Hanks
- Developmental Biology top 2%
- Molecular Biology top 5%
- Developmental Biology and Gene Regulation 5
- Congenital heart defects research 4
- Genomics and Chromatin Dynamics 4
- Pluripotent Stem Cells Research 3
- TGF-β signaling in diseases 3
- Renal and related cancers 2
- Reproductive Medicine top 5%
- Developmental Neuroscience top 5%
- Genetics top 5%
- Bacterial Genetics and Biotechnology 2
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- Cardiac Structural Anomalies and Repair 2
- Co-authors
- Richard R. BehringerYuji MishinaAlexandra L. JoynerWolfgang WurstLynn Anson‐CartwrightAnna B. AuerbachNelson A. ArangoSoazik P. Jamin
- Journals
- Journal of Molecular Endocrinology (2 papers)Development (2 papers)Circulation Research (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Mark C. Hanks
18 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 96
- Developmental Biology 104
- Molecular Biology 1.9k
- Reproductive Medicine 217
- Developmental Neuroscience 85
- Genetics 532
Countries citing papers authored by Mark C. Hanks
This map shows the geographic impact of Mark C. Hanks'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 C. Hanks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark C. Hanks more than expected).
Fields of papers citing papers by Mark C. Hanks
This network shows the impact of papers produced by Mark C. Hanks. 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 C. Hanks. The network helps show where Mark C. Hanks may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark C. Hanks, 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 | 2007 | 7 | |
| 2 | 2005 | 111 | |
| 3 | 2004 | 156 | |
| 4 | 2003 | 61 | |
| 5 | 2003 | 216 | |
| 6 | 2002 | 329 | |
| 7 | 2002 | 232 | |
| 8 | 2002 | 233 | |
| 9 | 2001 | 194 | |
| 10 | 1998 | 81 | |
| 11 | 1996 | 237 | |
| 12 | 1995 | 345 | |
| 13 | 1992 | 123 | |
| 14 | 1991 | 64 | |
| 15 | 1989 | 15 | |
| 16 | 1989 | 36 | |
| 17 | 1988 | 9 | |
| 18 | 1987 | 2 |
About Mark C. Hanks
Mark C. Hanks is a scholar working on Developmental Biology, Molecular Biology and Urology, having authored 18 papers that have together received 2.5k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (5 papers), Congenital heart defects research (4 papers), Genomics and Chromatin Dynamics (4 papers), Pluripotent Stem Cells Research (3 papers), TGF-β signaling in diseases (3 papers), Renal and related cancers (2 papers), Cardiac Structural Anomalies and Repair (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Developmental Biology (104 citations), Molecular Biology (1.9k citations) and Reproductive Medicine (217 citations). Mark C. Hanks has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Richard R. Behringer, Yuji Mishina, Alexandra L. Joyner, Wolfgang Wurst, Lynn Anson‐Cartwright, Anna B. Auerbach, Nelson A. Arango, Soazik P. Jamin, Cynthia A. Loomis and Esther Harris. Their work appears in journals such as Journal of Molecular Endocrinology, Development, Circulation Research, Nature Genetics 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.