Robert L. Mach

203 papers receiving 8.8k citations

Peers

Robert L. Mach
Comparison fields: 5 of 147
  • Biotechnology 1.3k
  • Water Science and Technology 1.1k
  • Biomedical Engineering 3.3k
  • Endocrinology 357
  • Molecular Biology 4.6k
Replace Philippe Thonart with:
Philippe Thonart Belgium
Mirja Salkinoja‐Salonen Finland
Milton S. da Costa Portugal
Che Ok Jeon South Korea
Nélson Lima Portugal
Edward R. B. Moore Sweden
Carlos A. Rosa Brazil
Miriam Land United States
Hee‐Mock Oh South Korea
Philipp Gerhardt United States
Robert L. Mach relative to Philippe Thonart Belgium Philippe Thonart's profile →
Citations per field
00.5×5.0×
Philippe Thonart · 1×
Citations per year

Countries citing papers authored by Robert L. Mach

Since Specialization
Citations

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

Fields of papers citing papers by Robert L. Mach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert L. Mach. 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 Robert L. Mach. The network helps show where Robert L. Mach may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert L. Mach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert L. Mach Line = papers co-authored together Robert L. Mach links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 207 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006303
2 2015272
3 1995217
4 2008211
5 1999198
6 1992185
7 2008155
8 2006154
9 1993152
10 1994147
11 2003145
12 1996142
13 2005131
14 1999122
15 2006117
16 2005116
17 2007111
18 2003107
19 2013104
20 1999104

About Robert L. Mach

Robert L. Mach is a scholar working on Molecular Biology, Biomedical Engineering, Plant Science, Water Science and Technology and Ecology, having authored 207 papers that have together received 9.1k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (48 papers), Fungal and yeast genetics research (37 papers), Fecal contamination and water quality (28 papers), Microbial Metabolic Engineering and Bioproduction (19 papers), Plant-Microbe Interactions and Immunity (15 papers), Enzyme Production and Characterization (13 papers), Plant Pathogens and Fungal Diseases (13 papers) and Microbial Community Ecology and Physiology (13 papers). The work is most often cited by research in Biotechnology (1.3k citations), Water Science and Technology (1.1k citations), Biomedical Engineering (3.3k citations), Endocrinology (357 citations) and Molecular Biology (4.6k citations). Robert L. Mach has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Christian P. Kubicek, Astrid R. Mach‐Aigner, Andreas H. Farnleitner, Susanne Zeilinger, Georg H. Reischer, Matteo Lorito, Alexander K. T. Kirschner, Christian Derntl, Joseph Strauss and Kurt Brunner. Their work appears in journals such as Applied and Environmental Microbiology, Applied Microbiology and Biotechnology, Biotechnology for Biofuels, Water Research and Frontiers in Microbiology.

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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