Markus J. Herrgård
- Molecular Biology top 0.5%
- Microbial Metabolic Engineering and Bioproduction 65
- Gene Regulatory Network Analysis 19
- Bioinformatics and Genomic Networks 16
- Metabolomics and Mass Spectrometry Studies 8
- Viral Infectious Diseases and Gene Expression in Insects 7
- Fungal and yeast genetics research 7
- Biomedical Engineering top 1%
- Biofuel production and bioconversion 25
- Genetics top 2%
- Bacterial Genetics and Biotechnology 13
- Biotechnology top 2%
- Biochemistry top 2%
- Co-authors
- Bernhard Ø. PalssonAdam M. FeistJennifer L. ReedMonica L. MoDaniel MachadoMarkus W. CovertInes ThieleEric M. Knight
- Partner nations
- DenmarkUnited StatesSweden
In The Last Decade
Markus J. Herrgård
83 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 6.5k
- Biomedical Engineering 2.3k
- Genetics 899
- Biotechnology 249
- Biochemistry 184
Countries citing papers authored by Markus J. Herrgård
This map shows the geographic impact of Markus J. Herrgård'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 Markus J. Herrgård with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus J. Herrgård more than expected).
Fields of papers citing papers by Markus J. Herrgård
This network shows the impact of papers produced by Markus J. Herrgård. 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 Markus J. Herrgård. The network helps show where Markus J. Herrgård may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus J. Herrgård, 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 | 2023 | 4 | |
| 2 | 2023 | 0 | |
| 3 | 2021 | 22 | |
| 4 | 2020 | 70 | |
| 5 | 2020 | 62 | |
| 6 | 2020 | 98 | |
| 7 | 2019 | 27 | |
| 8 | 2019 | 34 | |
| 9 | 2019 | 45 | |
| 10 | 2019 | 57 | |
| 11 | 2018 | 24 | |
| 12 | 2016 | 96 | |
| 13 | 2016 | 105 | |
| 14 | 2014 | 65 | |
| 15 | 2013 | 2 | |
| 16 | 2013 | 67 | |
| 17 | 2007 | 18 | |
| 18 | 2006 | 165 | |
| 19 | Integrating high-throughput and computational data elucidates bacterial networksbreakdown → | 2004 | 592 |
| 20 | 2003 | 105 |
About Markus J. Herrgård
Markus J. Herrgård is a scholar working on Molecular Biology, Biochemistry and Biomedical Engineering, having authored 84 papers that have together received 7.3k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (65 papers), Biofuel production and bioconversion (25 papers), Gene Regulatory Network Analysis (19 papers), Bioinformatics and Genomic Networks (16 papers), Bacterial Genetics and Biotechnology (13 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers) and Fungal and yeast genetics research (7 papers). The work is most often cited by research in Molecular Biology (6.5k citations), Biomedical Engineering (2.3k citations) and Genetics (899 citations). Markus J. Herrgård has collaborated with scholars based in Denmark, United States and Sweden. Frequent co-authors include Bernhard Ø. Palsson, Adam M. Feist, Jennifer L. Reed, Monica L. Mo, Daniel Machado, Markus W. Covert, Ines Thiele, Eric M. Knight, Scott A. Becker and Gregory Hannum. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.