Johan Elf

11.1k citations
89 papers · 7.4k indexed · 2 hit papers · h-index 37
  • Biophysics top 0.05%
    • Advanced Fluorescence Microscopy Techniques 16
    • Cell Image Analysis Techniques 10
  • Genetics top 0.5%
    • Bacterial Genetics and Biotechnology 32
    • RNA and protein synthesis mechanisms 26
    • Gene Regulatory Network Analysis 25
    • Diffusion and Search Dynamics 17
    • DNA and Nucleic Acid Chemistry 11
    • CRISPR and Genetic Engineering 8

Johan Elf

87 papers receiving 7.3k citations

Hit Papers

Nanometer resolution imaging and tracking of ...8002007202620132019250500750

Peers

Johan Elf
Comparison fields: 5 of 149
  • Structural Biology 403
  • Biophysics 1.6k
  • Genetics 2.3k
  • Molecular Biology 5.5k
  • Molecular Medicine 295
Replace Måns Ehrenberg with:
Måns Ehrenberg Sweden
Mark C. Leake United Kingdom
Christine Jacobs‐Wagner United States
Gene‐Wei Li United States
Johan Paulsson United States
Judith P. Armitage United Kingdom
Harley H. McAdams United States
Sriram Subramaniam United States
David Sept United States
Paul A. Wiggins United States
Johan Elf relative to Måns Ehrenberg Sweden Måns Ehrenberg's profile →
Citations per field
00.5×
Måns Ehrenberg · 1×
Citations per year

Countries citing papers authored by Johan Elf

Since Specialization
Citations

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

Fields of papers citing papers by Johan Elf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 202328
4 20233
5 202230
6 20227
7 202114
8 201958
9 201750
10 2017126
11 20175
12 201735
13 20173
14 20162
15 2014139
16 2012309
17 2011216
18 2003195
19 2003274
20 2003449

About Johan Elf

Johan Elf is a scholar working on Biophysics, Structural Biology and Genetics, having authored 89 papers that have together received 7.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (32 papers), RNA and protein synthesis mechanisms (26 papers), Gene Regulatory Network Analysis (25 papers), Diffusion and Search Dynamics (17 papers), Advanced Fluorescence Microscopy Techniques (16 papers), DNA and Nucleic Acid Chemistry (11 papers), Cell Image Analysis Techniques (10 papers) and CRISPR and Genetic Engineering (8 papers). The work is most often cited by research in Structural Biology (403 citations), Biophysics (1.6k citations) and Genetics (2.3k citations). Johan Elf has collaborated with scholars based in Sweden, United States and Estonia. Frequent co-authors include Måns Ehrenberg, David Fange, Gene‐Wei Li, Xiao Xie, Otto G. Berg, Arvid H. Gynnå, Özden Baltekin, Fredrik Persson, Anel Mahmutovic and Martin Lindén. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Biophysical Journal, Science and Nature 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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