Gerhard Schwall

1.9k citations
34 papers · 1.4k · h-index 20

Impact in

Papers in

    • S100 Proteins and Annexins 5
    • Mitochondrial Function and Pathology 5
    • Metabolomics and Mass Spectrometry Studies 4
    • Advanced biosensing and bioanalysis techniques 3
    • Advanced Proteomics Techniques and Applications 8
    • Mass Spectrometry Techniques and Applications 6

Gerhard Schwall

34 papers receiving 1.3k citations

Peers

Gerhard Schwall
Comparison fields: 5 of 106
  • Nutrition and Dietetics 302
  • Aging 30
  • Spectroscopy 191
  • Molecular Biology 724
  • Biotechnology 84
Replace Xiaoxi Wang with:
Xiaoxi Wang China
Marilene Demasi Brazil
Ho Hee Jang South Korea
Joanna Szczepanowska Poland
Aeid Igbaria France
Kap-Seok Yang South Korea
Françoise Foury Belgium
Iliana Ferrero Italy
Susanne B. Breitkopf United States
Weixing Li China
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Citations per field
00.5×4.7×
Xiaoxi Wang · 1×
Citations per year

Countries citing papers authored by Gerhard Schwall

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Schwall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000224
2 1999105
3 2002103
4 200897
5 200881
6 200880
7 200773
8 199572
9 201163
10 200657
11 201556
12 200652
13 200744
14 200339
15 201834
16 200428
17 200523
18 202122
19 200520
20 200520

About Gerhard Schwall

Gerhard Schwall is a scholar working on Molecular Biology, Spectroscopy, Plant Science, Endocrinology, Diabetes and Metabolism and Physiology, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (6 papers), S100 Proteins and Annexins (5 papers), Mitochondrial Function and Pathology (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Alzheimer's disease research and treatments (3 papers), Food composition and properties (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Nutrition and Dietetics (302 citations), Aging (30 citations), Spectroscopy (191 citations), Molecular Biology (724 citations) and Biotechnology (84 citations). Gerhard Schwall has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Roger Jeffcoat, R. J. Westcott, Stephen A. Jobling, André Schrattenholz, Slobodan Poznanović, Akash Tayal, Richard Safford, Werner Stegmann, Wojciech Woźny and Michael A. Cahill. Their work appears in journals such as Journal of Proteome Research, Electrophoresis, Scientific Reports, Nature Biotechnology and The Journal of Urology.

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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