Markus Hoffmann

611 citations
16 papers · 426 · h-index 8

Impact in

Papers in

    • RNA Research and Splicing 4
    • Genomics and Chromatin Dynamics 3
    • Circular RNAs in diseases 2
    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 3

Markus Hoffmann

13 papers receiving 423 citations

Peers

Markus Hoffmann
Comparison fields: 5 of 50
  • Biophysics 38
  • Electrochemistry 35
  • Materials Chemistry 207
  • Electrical and Electronic Engineering 220
  • Physical and Theoretical Chemistry 28
Replace Gabriele Canzi with:
Gabriele Canzi United States
Aniello Palma Ireland
Metin Aydın Türkiye
Michael G. Mavros United States
Dimitri Chekulaev United Kingdom
Stuart A. Archer United Kingdom
Hung‐Yu Hsu Taiwan
Soo Chang Yu South Korea
Emmanuel Di Piazza France
Nathan Stevens United States
Markus Hoffmann relative to Gabriele Canzi United States Gabriele Canzi's profile →
Citations per field
00.5×6.3×
Gabriele Canzi · 1×
Citations per year

Countries citing papers authored by Markus Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Markus Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2008209
2 201785
3 200964
4 202212
5 202311
6 20219
7 20239
8 20237
9 20225
10 20145
11 20204
12 20244
13 20252
14 20230
15 20250
16 20070

About Markus Hoffmann

Markus Hoffmann is a scholar working on Molecular Biology, Cancer Research, Immunology, Electrical and Electronic Engineering and Materials Chemistry, having authored 16 papers that have together received 426 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), MicroRNA in disease regulation (3 papers), Genomics and Chromatin Dynamics (3 papers), Cancer-related molecular mechanisms research (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Force Microscopy Techniques and Applications (2 papers), Molecular Junctions and Nanostructures (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Biophysics (38 citations), Electrochemistry (35 citations), Materials Chemistry (207 citations), Electrical and Electronic Engineering (220 citations) and Physical and Theoretical Chemistry (28 citations). Markus Hoffmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Harry L. Anderson, Louisa J. Esdaile, Simon J. Higgins, Richard J. Nichols, Wolfgang Haiss, Gita Sedghi, Donald Bethell, Arjen Cnossen, Christiane R. Timmel and Patrik Neuhaus. Their work appears in journals such as Scientific Reports, Journal of the American Chemical Society, Bioinformatics, BMC Genomics and Microscopy and Microanalysis.

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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