Frank Große

7.2k citations
166 papers · 6.3k · h-index 45

Impact in

    • Silk-based biomaterials and applications
    • DNA Repair Mechanisms
    • DNA and Nucleic Acid Chemistry
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics

Papers in

Frank Große

164 papers receiving 6.0k citations

Peers

Frank Große
Comparison fields: 5 of 136
  • Biomaterials 853
  • Molecular Biology 4.1k
  • Virology 249
  • Oncology 1.0k
  • Biotechnology 280
Replace Jacob Piehler with:
Jacob Piehler Germany
Brian K. Kay United States
Ludger Johannes France
Peixuan Guo United States
Mark Howarth United Kingdom
Sergey Leikin United States
P.J.G. Butler United Kingdom
Robert Tampé Germany
Emmanuel Boucrot United Kingdom
Roland Brock Netherlands
Frank Große relative to Jacob Piehler Germany Jacob Piehler's profile →
Citations per field
00.5×3.1×
Jacob Piehler · 1×
Citations per year

Countries citing papers authored by Frank Große

Since Specialization
Citations

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

Fields of papers citing papers by Frank Große

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001280
2 1995252
3 1996224
4 2011203
5 2007180
6 1986174
7 1999155
8 2005154
9 1999123
10 1994105
11 1997102
12 1986101
13 200599
14 201298
15 201094
16 200689
17 200489
18 199786
19 198785
20 200577

About Frank Große

Frank Große is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Materials Chemistry and Genetics, having authored 166 papers that have together received 6.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (50 papers), Semiconductor Quantum Structures and Devices (35 papers), DNA and Nucleic Acid Chemistry (27 papers), Genomics and Chromatin Dynamics (17 papers), Advanced Semiconductor Detectors and Materials (16 papers), Bacterial Genetics and Biotechnology (13 papers), Semiconductor materials and devices (13 papers) and RNA and protein synthesis mechanisms (13 papers). The work is most often cited by research in Biomaterials (853 citations), Molecular Biology (4.1k citations), Virology (249 citations), Oncology (1.0k citations) and Biotechnology (280 citations). Frank Große has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Suisheng Zhang, Heinz‐Peter Nasheuer, Klaus Weißhart, Prasun Chakraborty, Wolfgang Deppert, Eberhard Unger, Alexander Sponner, Gerhard Krauss, U. Schomburg and Lisa Wiesmüller. Their work appears in journals such as Journal of Biological Chemistry, Nucleic Acids Research, Physical Review B, European Journal of Biochemistry and Biochemistry.

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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