Philipp Gut

5.0k citations
41 papers · 2.7k · 2 hit papers · h-index 20

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 5
    • Mitochondrial Function and Pathology 4
    • Pancreatic function and diabetes 10

Philipp Gut

41 papers receiving 2.7k citations

Hit Papers

Ketogenic Diet Reduces Midlife Mortality and Improves Memory in Aging Mice 2017 · 351 citations
3510+3+7Years since publication100200300

Peers

Philipp Gut
Comparison fields: 5 of 113
  • Geriatrics and Gerontology 348
  • Aging 95
  • Cell Biology 480
  • Physiology 131
  • Physiology 729
Replace Mario Passalacqua with:
Mario Passalacqua Italy
Guy Las United States
Sarah Wright United States
Annabelle Méry France
Nathan L. Price United States
Le Zhan United States
Der‐Fen Suen Taiwan
Debra Toiber Israel
Ghazaleh Ashrafi United States
Koji Yamano Japan
Philipp Gut relative to Mario Passalacqua Italy Mario Passalacqua's profile →
Citations per field
00.5×2.8×
Mario Passalacqua · 1×
Citations per year

Countries citing papers authored by Philipp Gut

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Gut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SIRT5 Regulates both Cytosolic and Mitochondrial Protein Malonylation with Glycolysis as a Major Target
Hit paper breakdown →
2015358
2
Ketogenic Diet Reduces Midlife Mortality and Improves Memory in Aging Mice
Hit paper breakdown →
2017351
3 2013304
4 2017241
5 2018174
6 2012159
7 2012141
8 2013126
9 201097
10 201372
11 201467
12 200565
13 201564
14 202263
15 201558
16 201950
17 201137
18 201937
19 201928
20 201520

About Philipp Gut

Philipp Gut is a scholar working on Molecular Biology, Surgery, Physiology, Cell Biology and Genetics, having authored 41 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Zebrafish Biomedical Research Applications (8 papers), Adipose Tissue and Metabolism (7 papers), Prostate Cancer Treatment and Research (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Mitochondrial Function and Pathology (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Geriatrics and Gerontology (348 citations), Aging (95 citations), Cell Biology (480 citations), Physiology (131 citations) and Physiology (729 citations). Philipp Gut has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Eric Verdin, Didier Y. R. Stainier, Rima Arnaout, Sven Reischauer, Minghao Zhao, Yu Huang, John C. Newman, Saptarsi M. Haldar, Xinxing Yu and Anthony J. Covarrubias. Their work appears in journals such as Cell Metabolism, International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Oncology, Frontiers in Cell and Developmental Biology and Cancer.

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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