Mark Hiller
Impact in
- Aging top 10%
-
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- Fungal and yeast genetics research
Papers in
-
- Genomics and Chromatin Dynamics 4
- Epigenetics and DNA Methylation 3
- Fungal and yeast genetics research 2
- Microbial Metabolic Engineering and Bioproduction 2
- Photosynthetic Processes and Mechanisms 2
- Mitochondrial Function and Pathology 2
- Genetics 3
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
- Co-authors
- Margaret T. Fuller (6 shared papers)Ting‐Yi Lin (2 shared papers)Yasemin Sancak (2 shared papers)Cricket G. Wood (1 shared paper)Xin Chen (1 shared paper)Elizabeth W. Jones (3 shared papers)Benjamin Bolival (2 shared papers)Ansgar Santel (2 shared papers)
- Journals
- Journal of Bacteriology (2 papers)Development (2 papers)Genes & Development (1 paper)FEBS Letters (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomBelarus
In The Last Decade
Mark Hiller
12 papers receiving 763 citations
Peers
Comparison fields: 5 of 73
- Aging 30
- Molecular Biology 658
- Genetics 240
- Reproductive Medicine 38
- Plant Science 133
Countries citing papers authored by Mark Hiller
This map shows the geographic impact of Mark Hiller'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 Hiller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Hiller more than expected).
Fields of papers citing papers by Mark Hiller
This network shows the impact of papers produced by Mark Hiller. 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 Hiller. The network helps show where Mark Hiller may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Hiller, 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 | 2001 | 168 | |
| 2 | 2004 | 163 | |
| 3 | 2005 | 145 | |
| 4 | 2002 | 64 | |
| 5 | 1995 | 60 | |
| 6 | 2004 | 53 | |
| 7 | 1997 | 50 | |
| 8 | 2000 | 21 | |
| 9 | 1999 | 18 | |
| 10 | 2004 | 15 | |
| 11 | 2008 | 15 | |
| 12 | 2025 | 1 |
About Mark Hiller
Mark Hiller is a scholar working on Molecular Biology, Genetics, Plant Science, Political Science and International Relations and Oncology, having authored 12 papers that have together received 773 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Fungal and yeast genetics research (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Chromosomal and Genetic Variations (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Aging (30 citations), Molecular Biology (658 citations), Genetics (240 citations), Reproductive Medicine (38 citations) and Plant Science (133 citations). Mark Hiller has collaborated with scholars based in United States, United Kingdom and Belarus. Frequent co-authors include Margaret T. Fuller, Ting‐Yi Lin, Yasemin Sancak, Cricket G. Wood, Xin Chen, Elizabeth W. Jones, Benjamin Bolival, Ansgar Santel, Gene C. Webb and Xin Chen. Their work appears in journals such as Journal of Bacteriology, Development, Genes & Development, FEBS Letters and Nature Communications.
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.