Martin Giera

217 papers receiving 7.1k citations

Martin Giera's Hit Papers

Identification of bioactive metabolites using activity metabolomics 2019 · 732 citations
7320+3+6Years since publication200400600

Peers

Martin Giera
Comparison fields: 5 of 157
  • Biological Psychiatry 199
  • Molecular Biology 3.9k
  • Biochemistry 389
  • Spectroscopy 868
  • Physiology 1.2k
Replace Ying‐Yong Zhao with:
Ying‐Yong Zhao China
Michael Kinter United States
Aihua Zhang China
Haiping Hao China
José V. Castell Spain
Masaru Yoshida Japan
Marcus Ståhlman Sweden
Chengwei He Macao
Geum‐Sook Hwang South Korea
Kristopher W. Krausz United States
Martin Giera relative to Ying‐Yong Zhao China Ying‐Yong Zhao's profile →
Citations per field
00.5×1.5×2.1×
Ying‐Yong Zhao · 1×
Citations per year

Countries citing papers authored by Martin Giera

Since Specialization
Citations

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

Fields of papers citing papers by Martin Giera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 237 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identification of bioactive metabolites using activity metabolomics
Hit paper breakdown →
2019732
2
Butyrate reduces appetite and activates brown adipose tissue via the gut-brain neural circuit
Hit paper breakdown →
2017516
3 2019243
4 2019231
5 2013180
6 2012176
7 2019173
8 2012156
9 2017133
10 2006133
11 2022114
12 2017111
13 2020100
14 201898
15 201986
16 202285
17 201681
18 201876
19 202266
20 202263

About Martin Giera

Martin Giera is a scholar working on Molecular Biology, Physiology, Spectroscopy, Surgery and Nutrition and Dietetics, having authored 237 papers that have together received 7.2k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (50 papers), Fatty Acid Research and Health (25 papers), Cholesterol and Lipid Metabolism (21 papers), Analytical Chemistry and Chromatography (20 papers), Diet and metabolism studies (20 papers), Mass Spectrometry Techniques and Applications (19 papers), Gut microbiota and health (18 papers) and Eicosanoids and Hypertension Pharmacology (16 papers). The work is most often cited by research in Biological Psychiatry (199 citations), Molecular Biology (3.9k citations), Biochemistry (389 citations), Spectroscopy (868 citations) and Physiology (1.2k citations). Martin Giera has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Gary Siuzdak, W.M.A. Niessen, Julijana Ivanišević, Markus M. Rinschen, Sarantos Kostidis, Franz Bracher, H. Lingeman, Marieke Heijink, Oleg A. Mayboroda and Ko Willems van Dijk. Their work appears in journals such as Analytical Chemistry, Analytical and Bioanalytical Chemistry, Nature Communications, Osteoarthritis and Cartilage and Journal of Lipid 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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