Marc Tornow

1.9k citations
71 papers · 1.5k indexed · h-index 24

Marc Tornow

67 papers receiving 1.5k citations

Peers

Marc Tornow
Comparison fields: 5 of 62
  • Electrochemistry 154
  • Bioengineering 106
  • Biomedical Engineering 760
  • Electrical and Electronic Engineering 905
  • Molecular Biology 807
Replace Kevin A. Peterlinz with:
Kevin A. Peterlinz United States
Todd Strother United States
Jeremiah K. N. Mbindyo United States
Chih-Hang Tung Singapore
P. L. T. M. Frederix Switzerland
Ying‐Lan Chang United States
Bryce P. Nelson United States
Young‐Soo Kwon South Korea
W. Knoll Germany
Nitin K. Rajan United States
Marc Tornow relative to Kevin A. Peterlinz United States Kevin A. Peterlinz's profile →
Citations per field
00.5×7.2×
Kevin A. Peterlinz · 1×
Citations per year

Countries citing papers authored by Marc Tornow

Since Specialization
Citations

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

Fields of papers citing papers by Marc Tornow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20244
3 20242
4 202139
5 20203
6 20193
7 201985
8 201713
9 201612
10 201611
11 20148
12 20118
13 200922
14 200941
15 200822
16 200744
17 200657
18 200668
19 200334
20 200329

About Marc Tornow

Marc Tornow is a scholar working on Bioengineering, Biomedical Engineering, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Molecular Biology, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Molecular Junctions and Nanostructures (38 papers), Nanowire Synthesis and Applications (24 papers), Advanced biosensing and bioanalysis techniques (23 papers), Force Microscopy Techniques and Applications (11 papers), Nanofabrication and Lithography Techniques (10 papers), Semiconductor materials and devices (9 papers), Advanced Memory and Neural Computing (8 papers) and Nanopore and Nanochannel Transport Studies (8 papers). The work is most often cited by research in Electrochemistry (154 citations), Bioengineering (106 citations), Biomedical Engineering (760 citations), Electrical and Electronic Engineering (905 citations) and Molecular Biology (807 citations). Marc Tornow has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include G. Abstreiter, Ulrich Rant, Kenji Arinaga, Naoki Yokoyama, Shozo Fujita, Sebastian Strobel, Jeffrey Schwartz, Anna Cattani‐Scholz, Erika Pringsheim and Sebastian Luber. Their work appears in journals such as Nanotechnology, Langmuir, Nano Letters, ACS Nano and Small.

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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