Niels Grabe

7.7k citations
106 papers · 4.6k indexed · 2 hit papers · h-index 33

Impact in

  • Oncology top 1%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Cell Image Analysis Techniques 8
    • Cancer Immunotherapy and Biomarkers 17

Niels Grabe

105 papers receiving 4.5k citations

Hit Papers

Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review 2018 · 296 citations
2962016202620192022100200300400

Peers

Niels Grabe
Comparison fields: 5 of 159
  • Oncology 1.7k
  • Immunology 907
  • Cancer Research 549
  • Biophysics 177
  • Cell Biology 492
Replace Philip D. Dunne with:
Philip D. Dunne United Kingdom
Darragh G. McArt United Kingdom
Ronan T. Gray United Kingdom
Peter Bankhead United Kingdom
Lin Yang China
Stefania Staibano Italy
Shumpei Ishikawa Japan
Moritz Gerstung United Kingdom
Paul J. Zhang United States
Carlo Alberto Beltrami Italy
Niels Grabe relative to Philip D. Dunne United Kingdom Philip D. Dunne's profile →
Citations per field
00.5×3.3×
Philip D. Dunne · 1×
Citations per year

Countries citing papers authored by Niels Grabe

Since Specialization
Citations

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

Fields of papers citing papers by Niels Grabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20219
2 202023
3 201921
4 20193
5 201822
6 201812
7
Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review
Hit paper breakdown →
2018296
8 201841
9 201732
10 2015157
11 201560
12 20148
13 201357
14 201335
15 20126
16 201217
17 2011321
18 2011232
19 201157
20 201124

About Niels Grabe

Niels Grabe is a scholar working on Biophysics, Oncology, Immunology, Cell Biology and Genetics, having authored 106 papers that have together received 4.6k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (17 papers), AI in cancer detection (13 papers), Immunotherapy and Immune Responses (12 papers), Cellular Mechanics and Interactions (11 papers), Cervical Cancer and HPV Research (9 papers), Cell Image Analysis Techniques (8 papers), Immune Cell Function and Interaction (6 papers) and Skin and Cellular Biology Research (6 papers). The work is most often cited by research in Oncology (1.7k citations), Immunology (907 citations), Cancer Research (549 citations), Biophysics (177 citations) and Cell Biology (492 citations). Niels Grabe has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Bernd Lahrmann, Niels Halama, Kai Safferling, Matthias Kloor, Inka Zoernig, Peter Schirmacher, Joachim P. Spatz, Thora Pommerencke, Anna Spille and Tamal Das. Their work appears in journals such as PLoS ONE, OncoImmunology, Bioinformatics, International Journal of Cancer and Clinical Cancer Research.

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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