Florian Heigwer

3.6k citations
21 papers · 894 · h-index 13

Impact in

  • Biophysics top 1%
    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques
  • Aging top 5%

Papers in

    • CRISPR and Genetic Engineering 9
    • Single-cell and spatial transcriptomics 4
    • RNA and protein synthesis mechanisms 4
    • Bioinformatics and Genomic Networks 3
    • Advanced biosensing and bioanalysis techniques 2
    • Cell Image Analysis Techniques 5

Florian Heigwer

20 papers receiving 874 citations

Peers

Florian Heigwer
Comparison fields: 5 of 98
  • Biophysics 230
  • Aging 46
  • Business and International Management 20
  • Molecular Biology 629
  • Media Technology 63
Replace Michael J. Lawson with:
Michael J. Lawson United States
Benedikt Rauscher Germany
Zachary E. Perlman United States
Eleanor Williams United Kingdom
Natalie Perzov Israel
Axel Mosig Germany
Judice L.Y. Koh Singapore
Thomas Stoeger United States
Mojca Mattiazzi Ušaj Canada
Jorge Vialard Belgium
Florian Heigwer relative to Michael J. Lawson United States Michael J. Lawson's profile →
Citations per field
00.5×10.5×
Michael J. Lawson · 1×
Citations per year

Countries citing papers authored by Florian Heigwer

Since Specialization
Citations

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

Fields of papers citing papers by Florian Heigwer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015241
2 2018104
3 202097
4 201874
5 201357
6 201656
7 201852
8 201651
9 201547
10 202324
11 201818
12 201216
13 201115
14 201211
15 202410
16 20229
17 20237
18 20173
19 20201
20 20251

About Florian Heigwer

Florian Heigwer is a scholar working on Molecular Biology, Biophysics, Plant Science, Oncology and Computational Theory and Mathematics, having authored 21 papers that have together received 894 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Cell Image Analysis Techniques (5 papers), Single-cell and spatial transcriptomics (4 papers), RNA and protein synthesis mechanisms (4 papers), Bioinformatics and Genomic Networks (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Computational Drug Discovery Methods (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Biophysics (230 citations), Aging (46 citations), Business and International Management (20 citations), Molecular Biology (629 citations) and Media Technology (63 citations). Florian Heigwer has collaborated with scholars based in Germany, Poland and Norway. Frequent co-authors include Michael Boutros, Christina Laufer, Marco Breinig, Fillip Port, Jan Winter, Benedikt Rauscher, Svenja Leible, Tianzuo Zhan, Oliver Pelz and Stefan Wölfl. Their work appears in journals such as Bioinformatics, eLife, Nucleic Acids Research, International Journal of Cancer and Journal of Immunological Methods.

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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