Paul Schweiger

471 citations
21 papers · 364 · h-index 12

Impact in

Papers in

    • Microbial metabolism and enzyme function 16
    • Microbial Metabolic Engineering and Bioproduction 9
    • Biochemical Acid Research Studies 14

Paul Schweiger

21 papers receiving 351 citations

Peers

Paul Schweiger
Comparison fields: 5 of 62
  • Biochemistry 139
  • Endocrinology 33
  • Molecular Biology 277
  • Biotechnology 20
  • Food Science 33
Replace Jung-Won Youn with:
Jung-Won Youn Germany
Seiki Takeno Japan
Yea‐Tyng Yang United States
Won-Heong Lee United States
Anna Biegalska Poland
Wenjian Ma China
Rene Gallegos United States
Hiroyuki Asako Japan
Hugo Streekstra Netherlands
K. Komagata Japan
Paul Schweiger relative to Jung-Won Youn Germany Jung-Won Youn's profile →
Citations per field
00.5×2.8×
Jung-Won Youn · 1×
Citations per year

Countries citing papers authored by Paul Schweiger

Since Specialization
Citations

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

Fields of papers citing papers by Paul Schweiger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Paul Schweiger, 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 Paul Schweiger Line = papers co-authored together Paul Schweiger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201243
2 201043
3 200140
4 201036
5 200727
6 201524
7 201023
8 200822
9 201717
10 200912
11 201312
12 201212
13 201411
14 201611
15 20177
16 20146
17 20216
18 20115
19 20184
20 20222

About Paul Schweiger

Paul Schweiger is a scholar working on Molecular Biology, Biochemistry, Biomedical Engineering, Inorganic Chemistry and Materials Chemistry, having authored 21 papers that have together received 364 indexed citations. Recurring topics across this work include Microbial metabolism and enzyme function (16 papers), Biochemical Acid Research Studies (14 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Metal-Catalyzed Oxygenation Mechanisms (2 papers), Microbial Metabolites in Food Biotechnology (1 paper), Diet, Metabolism, and Disease (1 paper), Graphene and Nanomaterials Applications (1 paper) and Alcohol Consumption and Health Effects (1 paper). The work is most often cited by research in Biochemistry (139 citations), Endocrinology (33 citations), Molecular Biology (277 citations), Biotechnology (20 citations) and Food Science (33 citations). Paul Schweiger has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Uwe Deppenmeier, Harald Gross, Sonja Volland, Erwin A. Galinski, Franz Allerberger, Martin Wagner, Alex W. Friedrich, Helge Karch, Armin Resch and M P Dierich. Their work appears in journals such as Applied Microbiology and Biotechnology, PeerJ, Journal of Biotechnology, Microbial Physiology and Journal of Industrial Microbiology & 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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