Frank Hofmann

1.4k citations
27 papers · 1.0k indexed · h-index 12

Impact in

Papers in

Frank Hofmann

25 papers receiving 981 citations

Peers

Frank Hofmann
Comparison fields: 5 of 116
  • Cellular and Molecular Neuroscience 582
  • Developmental Neuroscience 70
  • Metals and Alloys 30
  • Cognitive Neuroscience 177
  • Electrochemistry 51
Replace Sumit Kumar with:
Sumit Kumar India
Jianlin Feng United States
Renhao Liu China
Ikuro Suzuki Japan
Aoi Odawara Japan
Han Kyu Lee South Korea
Mariateresa Tedesco Italy
Kaiyu Zheng United Kingdom
Udo Kraushaar Germany
Frank Hofmann relative to Sumit Kumar India Sumit Kumar's profile →
Citations per field
00.5×5.7×
Sumit Kumar · 1×
Citations per year

Countries citing papers authored by Frank Hofmann

Since Specialization
Citations

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

Fields of papers citing papers by Frank Hofmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20211
2
Development, Manufacture and Characterization of C/C-SiC Components based on Filament Winding
20102
3 200916
4 200912
5 200921
6 200924
7 2006206
8 200655
9
Recent Developments in SiC-fibre reinforced titanium shafts
20062
10 20051
11
Pivotal function of Ca(V)1.2 L-type calcium channels in hippocampal long-term potentiation and learning
20042
12 200411
13 2004127
14 2003342
15 19905
16 19881
17
[Automated method for determining horseradish peroxidase on the reaction time analyser using chromogenic o-dianisidine and o-phenylenediamine for use in the ELISA].
19831
18 19821
19
Enzyme immunoassay and radioimmunoassay for plasma renin activity. I. Comparison of the methods.
19812
20 19530

About Frank Hofmann

Frank Hofmann is a scholar working on Metals and Alloys, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Developmental Neuroscience and Cognitive Neuroscience, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Neuroscience and Neural Engineering (5 papers), Welding Techniques and Residual Stresses (4 papers), Neural dynamics and brain function (3 papers), Metal and Thin Film Mechanics (3 papers), Adipose Tissue and Metabolism (2 papers), Adrenal Hormones and Disorders (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (582 citations), Developmental Neuroscience (70 citations), Metals and Alloys (30 citations), Cognitive Neuroscience (177 citations) and Electrochemistry (51 citations). Frank Hofmann has collaborated with scholars based in Germany, India and United Kingdom. Frequent co-authors include Hilmar Bading, Elke Guenther, H. Haemmerle, Thomas Meyer, W. Nisch, Alfred Stett, Ulrich Egert, Sofia Papadia, Giles E. Hardingham and Neil R. Hardingham. Their work appears in journals such as ISIJ International, Experimental Biology and Medicine, Analytical and Bioanalytical Chemistry, Journal of Materials Processing Technology and Journal of Neuroscience.

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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