Gerda Huber

1.6k citations
26 papers · 1.3k · h-index 16

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
    • Adenosine and Purinergic Signaling
    • Advanced Glycation End Products research

Papers in

Gerda Huber

26 papers receiving 1.3k citations

Peers

Gerda Huber
Comparison fields: 5 of 100
  • Physiology 596
  • Clinical Biochemistry 132
  • Biological Psychiatry 46
  • Cellular and Molecular Neuroscience 326
  • Physiology 83
Replace Francesc X. Guix with:
Francesc X. Guix Spain
Daniela Curti Italy
Annika Vaarmann Estonia
David S. Albers United States
Elena Bogónez Spain
Atsuko Kimura Japan
Sachiko Okuno Japan
Ippolita Cantuti‐Castelvetri United States
Nadia Canu Italy
Filipa I. Baptista Portugal
Gerda Huber relative to Francesc X. Guix Spain Francesc X. Guix's profile →
Citations per field
00.5×2.7×
Francesc X. Guix · 1×
Citations per year

Countries citing papers authored by Gerda Huber

Since Specialization
Citations

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

Fields of papers citing papers by Gerda Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995186
2 2003163
3 1999125
4 1999123
5 1992122
6 1990114
7 1993112
8 200061
9 199361
10 199551
11 200143
12 199028
13 200023
14 198716
15 200016
16 199315
17 199914
18 199713
19 200012
20 201311

About Gerda Huber

Gerda Huber is a scholar working on Physiology, Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience and Oncology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (14 papers), Microtubule and mitosis dynamics (5 papers), Prion Diseases and Protein Misfolding (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Cellular transport and secretion (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Physiology (596 citations), Clinical Biochemistry (132 citations), Biological Psychiatry (46 citations), Cellular and Molecular Neuroscience (326 citations) and Physiology (83 citations). Gerda Huber has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Jean‐Luc Moreau, Jürgen Löffler, Andrew Matus, Pari Malherbe, Dietrich Stüber, Heinz Döbeli, Annick Thompson, Craig C. Garner, Abigail M. Garner and Christine A. Kozak. Their work appears in journals such as Journal of Neurochemistry, Brain Research, Biochemical and Biophysical Research Communications, Journal of Pharmacology and Experimental Therapeutics and Obesity Facts.

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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