John Mauck

757 citations
23 papers · 595 · h-index 12

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 2
    • Bacterial Genetics and Biotechnology 5
    • Genetic and phenotypic traits in livestock 3

John Mauck

21 papers receiving 463 citations

Peers

John Mauck
Comparison fields: 5 of 73
  • Genetics 218
  • Biotechnology 54
  • Molecular Biology 367
  • Ecology 93
  • Biochemistry 24
Replace Hanna Meyer with:
Hanna Meyer Germany
van Jan Maarten Dijl Netherlands
Sarah L. Sutrina United States
Masayoshi Kuwano Japan
A Romanò United States
Ron Ortenberg Israel
Hans H. Saxild Denmark
Matthew G. Hicks United Kingdom
S S Springhorn United States
John Mauck relative to Hanna Meyer Germany Hanna Meyer's profile →
Citations per field
00.5×1.5×
Hanna Meyer · 1×
Citations per year

Countries citing papers authored by John Mauck

Since Specialization
Citations

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

Fields of papers citing papers by John Mauck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971131
2 1973101
3 197291
4 197454
5 197038
6 197030
7 197229
8 197224
9 197718
10 202414
11 202411
12 202411
13 197410
14 20247
15
Acute pancreatitis, hyperlipemia and normal amylase
19787
16 20246
17 19766
18 20243
19 20242
20 20251

About John Mauck

John Mauck is a scholar working on Molecular Biology, Genetics, Agronomy and Crop Science, Biochemistry and Surgery, having authored 23 papers that have together received 595 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Lipid metabolism and biosynthesis (4 papers), Ruminant Nutrition and Digestive Physiology (3 papers), Genetic and phenotypic traits in livestock (3 papers), Bacteriophages and microbial interactions (3 papers), Ferroptosis and cancer prognosis (2 papers), Metabolism and Genetic Disorders (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Genetics (218 citations), Biotechnology (54 citations), Molecular Biology (367 citations), Ecology (93 citations) and Biochemistry (24 citations). John Mauck has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Luis Glaser, Howard Green, Lawrence Chan, L Glaser, J. Williamson, Juan J. Loor, Chuang Xu, F. Fiedler, Qiushi Xu and Hongdou Jia. Their work appears in journals such as Journal of Dairy Science, Proceedings of the National Academy of Sciences, Biochemistry, Journal of Biological Chemistry and Animals.

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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