Fabian Spill

1.6k citations
33 papers · 1.2k · 1 hit paper · h-index 15

Impact in

    • Cellular Mechanics and Interactions
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cellular Mechanics and Interactions 15
    • Microtubule and mitosis dynamics 3
    • Cancer Cells and Metastasis 8

Fabian Spill

30 papers receiving 1.2k citations

Fabian Spill's Hit Papers

Impact of the physical microenvironment on tumor progression and metastasis 2016 · 450 citations
4500+3+6Years since publication100200300400

Peers

Fabian Spill
Comparison fields: 5 of 118
  • Cell Biology 327
  • Oncology 368
  • Modeling and Simulation 61
  • Cancer Research 173
  • Biomedical Engineering 380
Replace Ruoyan Li with:
Ruoyan Li China
José M. Ayuso United States
Jason T. George United States
Michael Mak United States
Alistair Rice United Kingdom
Marı́a Virumbrales-Muñoz United States
Yunfeng Feng United States
Moshe Giladi United States
Vasiliki Gkretsi Cyprus
Fabian Spill relative to Ruoyan Li China Ruoyan Li's profile →
Citations per field
00.5×3.3×
Ruoyan Li · 1×
Citations per year

Countries citing papers authored by Fabian Spill

Since Specialization
Citations

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

Fields of papers citing papers by Fabian Spill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Impact of the physical microenvironment on tumor progression and metastasis
Hit paper breakdown →
2016450
2 2017138
3 201179
4 201567
5 201664
6 201951
7 202047
8 201846
9 201643
10 201525
11 201825
12 202223
13 201820
14 202316
15 201715
16 20197
17 20197
18 20246
19 20166
20 20205

About Fabian Spill

Fabian Spill is a scholar working on Cell Biology, Oncology, Molecular Biology, Biomedical Engineering and Modeling and Simulation, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (15 papers), Cancer Cells and Metastasis (8 papers), Mathematical Biology Tumor Growth (6 papers), 3D Printing in Biomedical Research (5 papers), Microtubule and mitosis dynamics (3 papers), Immune cells in cancer (3 papers), Gene Regulatory Network Analysis (3 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Cell Biology (327 citations), Oncology (368 citations), Modeling and Simulation (61 citations), Cancer Research (173 citations) and Biomedical Engineering (380 citations). Fabian Spill has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Muhammad H. Zaman, Roger D. Kamm, Daniel S. Reynolds, R. J. Seager, Muhammad H. Zaman, Cynthia Hajal, Michael Mak, Meng Sun, Iwona Soroko and Marcin Makowski. Their work appears in journals such as Biophysical Journal, Journal of Theoretical Biology, PLoS Computational Biology, Integrative Biology and Bulletin of Mathematical 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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