Olle Holmberg

1.2k total citations · 1 hit paper
6 papers, 501 citations indexed

About

Olle Holmberg is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Ophthalmology. According to data from OpenAlex, Olle Holmberg has authored 6 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Molecular Biology and 2 papers in Ophthalmology. Recurrent topics in Olle Holmberg's work include Retinal Imaging and Analysis (2 papers), Retinal Diseases and Treatments (2 papers) and Single-cell and spatial transcriptomics (2 papers). Olle Holmberg is often cited by papers focused on Retinal Imaging and Analysis (2 papers), Retinal Diseases and Treatments (2 papers) and Single-cell and spatial transcriptomics (2 papers). Olle Holmberg collaborates with scholars based in Germany, Brazil and Australia. Olle Holmberg's co-authors include Fabian J. Theis, David S. Fischer, Ignacio L. Ibarra, Isaac Virshup, Hannah Spitzer, Sabrina Richter, Michal Klein, Giovanni Palla, Mohammad Lotfollahi and Anna C. Schaar and has published in prestigious journals such as Nature Methods, Genome biology and Eye.

In The Last Decade

Olle Holmberg

6 papers receiving 495 citations

Hit Papers

Squidpy: a scalable framework for spatial omics analysis 2022 2026 2023 2024 2022 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Olle Holmberg Germany 5 374 109 90 50 49 6 501
Anne Senabouth Australia 13 459 1.2× 120 1.1× 37 0.4× 99 2.0× 20 0.4× 15 603
Vince Carey United States 3 397 1.1× 101 0.9× 66 0.7× 104 2.1× 8 0.2× 4 512
Cameron G. Williams Australia 3 322 0.9× 119 1.1× 41 0.5× 80 1.6× 9 0.2× 5 466
Takahiro Asatsuma Australia 1 310 0.8× 88 0.8× 40 0.4× 79 1.6× 9 0.2× 2 418
Kim Thrane Sweden 6 350 0.9× 113 1.0× 57 0.6× 114 2.3× 16 0.3× 10 429
Christoph Ogris Sweden 9 491 1.3× 92 0.8× 45 0.5× 140 2.8× 17 0.3× 14 634
Alev Baysoy United States 4 391 1.0× 108 1.0× 53 0.6× 101 2.0× 13 0.3× 4 573
Mika Sarkin Jain United States 6 486 1.3× 169 1.6× 104 1.2× 120 2.4× 41 0.8× 12 646
Zhan Zhang China 16 544 1.5× 40 0.4× 36 0.4× 509 10.2× 51 1.0× 24 793
Jiaqiang Zhu China 9 612 1.6× 101 0.9× 95 1.1× 101 2.0× 11 0.2× 16 729

Countries citing papers authored by Olle Holmberg

Since Specialization
Citations

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

Fields of papers citing papers by Olle Holmberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olle Holmberg

This figure shows the co-authorship network connecting the top 25 collaborators of Olle Holmberg. A scholar is included among the top collaborators of Olle Holmberg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Olle Holmberg. Olle Holmberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Holmberg, Olle, Michael Häfner, Tina Herold, et al.. (2024). Evaluation of OCT biomarker changes in treatment-naive neovascular AMD using a deep semantic segmentation algorithm. Eye. 38(16). 3180–3186. 5 indexed citations
2.
Palla, Giovanni, Hannah Spitzer, Michal Klein, et al.. (2022). Squidpy: a scalable framework for spatial omics analysis. Nature Methods. 19(2). 171–178. 417 indexed citations breakdown →
3.
Holmberg, Olle, Tobias Lenz, Andreas Rank, et al.. (2021). Histopathology-Based Deep-Learning Predicts Atherosclerotic Lesions in Intravascular Imaging. Frontiers in Cardiovascular Medicine. 8. 779807–779807. 5 indexed citations
4.
Fischer, David S., Leander Dony, Martin König, et al.. (2021). Sfaira accelerates data and model reuse in single cell genomics. Genome biology. 22(1). 248–248. 17 indexed citations
5.
Holmberg, Olle, Niklas Köhler, Thiago Gonçalves dos Santos Martins, et al.. (2020). Self-supervised retinal thickness prediction enables deep learning from unlabelled data to boost classification of diabetic retinopathy. Nature Machine Intelligence. 2(11). 719–726. 56 indexed citations
6.
Holmberg, Olle. (2020). theislab/DeepRT: v0.0.1. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

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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