Markus J. Herrgård

12.0k citations
84 papers · 7.3k indexed · 3 hit papers · h-index 41
Topics
Microbial Metabolic Engineering and Bioproduction (65 papers)Biofuel production and bioconversion (25 papers)Gene Regulatory Network Analysis (19 papers)

In The Last Decade

Markus J. Herrgård

83 papers receiving 7.2k citations

Hit Papers

Quantitative prediction of cellular metabolism with const...2004202620112018200720082004200400600

Peers

Markus J. Herrgård
Comparison fields: 5 of 153
  • Molecular Biology 6.5k
  • Biomedical Engineering 2.3k
  • Genetics 899
  • Ecology 401
  • Biotechnology 249
Replace Vassily Hatzimanikatis with:
Vassily Hatzimanikatis Switzerland
Christopher S. Henry United States
Adam M. Feist United States
Radhakrishnan Mahadevan Canada
Zhiwen Wang China
Rodrigo Ledesma‐Amaro United Kingdom
Brian F. Pfleger United States
Hyun Uk Kim South Korea
Aindrila Mukhopadhyay United States
Hal S. Alper United States
Markus J. Herrgård relative to Vassily Hatzimanikatis Switzerland Vassily Hatzimanikatis's profile →
Citations per field
00.5×1.5×1.9×
Vassily Hatzimanikatis · 1×
Citations per year

Countries citing papers authored by Markus J. Herrgård

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Markus J. Herrgård

This figure shows the co-authorship network connecting the top 25 collaborators of Markus J. Herrgård. A scholar is included among the top collaborators of Markus J. Herrgård based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Markus J. Herrgård. Markus J. Herrgård is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 0
3 22
4 70
5 62
6 98
7 27
8 34
9 45
10 57
11 24
12 96
13 105
14 65
15 2
16 67
17 18
18 165
19
Integrating high-throughput and computational data elucidates bacterial networksbreakdown →
592
20 105

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) and Gene Regulatory Network Analysis (19 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.

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