Robert Mans

2.9k citations
43 papers · 1.6k indexed · h-index 21

Impact in

Papers in

    • Fungal and yeast genetics research 25
    • Microbial Metabolic Engineering and Bioproduction 21
    • CRISPR and Genetic Engineering 5
    • RNA and protein synthesis mechanisms 4

Robert Mans

41 papers receiving 1.6k citations

Peers

Robert Mans
Comparison fields: 5 of 144
  • Molecular Biology 1.1k
  • Statistics, Probability and Uncertainty 84
  • Biotechnology 76
  • Food Science 151
  • Biomedical Engineering 364
Replace Lian Wang with:
Lian Wang China
Yifei Wu China
Jing Ding China
Chantra Eskes Italy
Robert E. Dempski United States
Nathalie Alépée France
Marion R. Steiner United States
Masahiko Suzuki Japan
Luís L. Fonseca United States
Richard Sever United States
Robert Mans relative to Lian Wang China Lian Wang's profile →
Citations per field
00.5×9.3×
Lian Wang · 1×
Citations per year

Countries citing papers authored by Robert Mans

Since Specialization
Citations

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

Fields of papers citing papers by Robert Mans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Mans, 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 Mans Line = papers co-authored together Robert Mans links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015367
2 2010173
3 2007172
4 2018125
5 2017121
6 200958
7 201152
8 201943
9 202233
10 201732
11 202130
12 201329
13 202027
14 202226
15 201826
16 202024
17 201723
18 201422
19 201822
20 201721

About Robert Mans

Robert Mans is a scholar working on Molecular Biology, Biochemistry, Biomedical Engineering, Cell Biology and Ecological Modeling, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (25 papers), Microbial Metabolic Engineering and Bioproduction (21 papers), Biofuel production and bioconversion (15 papers), CRISPR and Genetic Engineering (5 papers), Plant nutrient uptake and metabolism (4 papers), RNA and protein synthesis mechanisms (4 papers), Zebrafish Biomedical Research Applications (4 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Statistics, Probability and Uncertainty (84 citations), Biotechnology (76 citations), Food Science (151 citations) and Biomedical Engineering (364 citations). Robert Mans has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Jack T. Pronk, Jean‐Marc Daran, Antonius J. A. van Maris, Melanie Wijsman, Ling Li, Marcel van den Broek, Pascale Daran‐Lapujade, Harmen M. van Rossum, Niels G. A. Kuijpers and Lori L. McMahon. Their work appears in journals such as FEMS Yeast Research, Metabolic Engineering, Neuroscience, Frontiers in Molecular Neuroscience and Current Opinion in Biotechnology.

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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