H. Gut

3.1k citations
26 papers · 1.6k indexed · h-index 20

Impact in

  • Aging top 5%
    • DNA Repair Mechanisms
    • Ubiquitin and proteasome pathways
    • Histone Deacetylase Inhibitors Research
    • Protein Degradation and Inhibitors
    • RNA Research and Splicing
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics

Papers in

    • DNA Repair Mechanisms 5
    • RNA Research and Splicing 5
    • Fungal and yeast genetics research 3
    • RNA and protein synthesis mechanisms 3
    • Glycosylation and Glycoproteins Research 2

H. Gut

26 papers receiving 1.6k citations

Peers

H. Gut
Comparison fields: 5 of 95
  • Aging 60
  • Molecular Biology 1.3k
  • Oncology 246
  • Biochemistry 63
  • Cell Biology 113
Replace Vincent Rincheval with:
Vincent Rincheval France
Jeong Soo Yang South Korea
Paul S. Kayne United States
H.M. Pereira Brazil
Susana R. Chaves Portugal
Martin Ligr United States
Adel F.M. Ibrahim United Kingdom
Sunil Laxman India
Wael M. Rabeh United Arab Emirates
Françoise de Longueville Belgium
H. Gut relative to Vincent Rincheval France Vincent Rincheval's profile →
Citations per field
00.5×2.9×
Vincent Rincheval · 1×
Citations per year

Countries citing papers authored by H. Gut

Since Specialization
Citations

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

Fields of papers citing papers by H. Gut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20215
2 20199
3 201836
4 201825
5 201749
6 2016234
7 201651
8 201615
9 201631
10 201543
11 201458
12 201323
13 201379
14 201149
15 2011363
16 200973
17 200862
18 200690
19 20059
20 200246

About H. Gut

H. Gut is a scholar working on Aging, Molecular Biology, Geriatrics and Gerontology, Immunology and Microbiology, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), RNA Research and Splicing (5 papers), Enzyme Structure and Function (4 papers), Fungal and yeast genetics research (3 papers), RNA and protein synthesis mechanisms (3 papers), Glycosylation and Glycoproteins Research (2 papers), Influenza Virus Research Studies (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Aging (60 citations), Molecular Biology (1.3k citations), Oncology (246 citations), Biochemistry (63 citations) and Cell Biology (113 citations). H. Gut has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include J.J. Keusch, Daniel Heß, Markus G. Grütter, Guido Capitani, Martin Walsh, Andrea Scrima, Nicolas H. Thomä, Mahamadou Faty, Y. Miyake and Eric S. Fischer. Their work appears in journals such as The EMBO Journal, Molecular Cell, Cell, Journal of Molecular Biology and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.

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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