Christopher J. Marx

7.2k citations
85 papers · 4.6k indexed · 1 hit paper · h-index 37
Topics
Microbial Metabolic Engineering and Bioproduction (36 papers)Evolution and Genetic Dynamics (26 papers)Microbial metabolism and enzyme function (19 papers)

In The Last Decade

Christopher J. Marx

83 papers receiving 4.5k citations

Hit Papers

Metabolic Resource Allocation in Individual Microbes Dete...20142026201820222014100200300

Peers

Christopher J. Marx
Comparison fields: 5 of 136
  • Molecular Biology 3.2k
  • Genetics 1.6k
  • Ecology 677
  • Biomedical Engineering 567
  • Sociology and Political Science 482
Replace Fabian M. Commichau with:
Fabian M. Commichau Germany
Tamara Hoffmann Germany
Gavin H. Thomas United Kingdom
Stéphane Aymerich France
M. Joost Teixeira de Mattos Netherlands
Roland Schmid Germany
Adam M. Deutschbauer United States
Dirk Albrecht Germany
Kouhei Ohnishi Japan
Emanuel Maltempi de Souza Brazil
Christopher J. Marx relative to Fabian M. Commichau Germany Fabian M. Commichau's profile →
Citations per field
00.5×10×20×30×40.2×
Fabian M. Commichau · 1×
Citations per year

Countries citing papers authored by Christopher J. Marx

Since Specialization
Citations

This map shows the geographic impact of Christopher J. Marx'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 Christopher J. Marx with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. Marx more than expected).

Fields of papers citing papers by Christopher J. Marx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Marx. 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 Christopher J. Marx. The network helps show where Christopher J. Marx may publish in the future.

Co-authorship network of co-authors of Christopher J. Marx

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Marx. A scholar is included among the top collaborators of Christopher J. Marx 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 Christopher J. Marx. Christopher J. Marx 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 0
2 4
3 17
4 2
5 9
6 20
7 58
8 108
9 10
10 15
11 92
12 88
13 29
14 21
15 36
16 28
17 106
18 11
19 71
20 74

About Christopher J. Marx

Christopher J. Marx is a scholar working on Genetics, Molecular Biology and Biochemistry, having authored 85 papers that have together received 4.6k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (36 papers), Evolution and Genetic Dynamics (26 papers) and Microbial metabolism and enzyme function (19 papers). The work is most often cited by research in Genetics (1.6k citations), Molecular Biology (3.2k citations) and Biochemistry (263 citations). Christopher J. Marx has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Mary E. Lidstrom, Hsin-Hung Chou, Nigel F. Delaney, Ming‐Chun Lee, Daniel Segrè, Nicholas Leiby, William R. Harcombe, Hsuan-Chao Chiu, Julia A. Vorholt and Sean M. Carroll. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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