Emma Lundberg

41.4k citations
93 papers · 5.6k indexed · 5 hit papers · h-index 35

Impact in

  • Biophysics top 0.5%
    • Cell Image Analysis Techniques
  • Spectroscopy top 0.5%
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications

Papers in

Emma Lundberg

92 papers receiving 5.5k citations

Hit Papers

Macromolecular condensation organizes nucleolar sub-phases to set up a pH gradient 2024 · 89 citations
892008202620142020100200300400500

Peers

Emma Lundberg
Comparison fields: 5 of 175
  • Biophysics 550
  • Spectroscopy 1.0k
  • Molecular Biology 4.0k
  • Cell Biology 732
  • Computational Mathematics 22
Replace Philip M. Kim with:
Philip M. Kim Canada
Maarten Altelaar Netherlands
Sean C. Bendall United States
Kenneth Wester Sweden
Oliver Rinner Switzerland
Fredrik Pontén Sweden
Julia Wulfkuhle United States
Kurt S. Thorn United States
Elizabeth A. Maher United States
Jacob A. Aten Netherlands
Emma Lundberg relative to Philip M. Kim Canada Philip M. Kim's profile →
Citations per field
00.5×7.7×
Philip M. Kim · 1×
Citations per year

Countries citing papers authored by Emma Lundberg

Since Specialization
Citations

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

Fields of papers citing papers by Emma Lundberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 202412
3 20236
4 2022110
5 202214
6 202223
7 20211
8 202011
9 2018120
10 2016328
11
Multi-label prediction of subcellular localization in confocal images using deep neural networks
20163
12 20161
13 201521
14 201313
15 2012114
16 201236
17 201220
18 201012
19 200818
20 200639

About Emma Lundberg

Emma Lundberg is a scholar working on Biophysics, Computational Mathematics, Spectroscopy, Molecular Biology and Cell Biology, having authored 93 papers that have together received 5.6k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (27 papers), Cell Image Analysis Techniques (23 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), RNA and protein synthesis mechanisms (15 papers), Single-cell and spatial transcriptomics (11 papers), Glycosylation and Glycoproteins Research (10 papers), RNA modifications and cancer (10 papers) and Ubiquitin and proteasome pathways (9 papers). The work is most often cited by research in Biophysics (550 citations), Spectroscopy (1.0k citations), Molecular Biology (4.0k citations), Cell Biology (732 citations) and Computational Mathematics (22 citations). Emma Lundberg has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Mathias Uhlén, Georg H. H. Borner, Fredrik Pontén, Linn Fagerberg, Matthias Mann, Caroline Kampf, Holger Heyn, Jeffrey R. Moffitt, Anna Asplund and Per Oksvold. Their work appears in journals such as Journal of Proteome Research, Molecular & Cellular Proteomics, Nature Methods, PLoS ONE and Molecular Systems Biology.

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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