Tim Schelfhorst

1.0k total citations
16 papers, 414 citations indexed

About

Tim Schelfhorst is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Tim Schelfhorst has authored 16 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Tim Schelfhorst's work include Extracellular vesicles in disease (6 papers), MicroRNA in disease regulation (4 papers) and Cell Adhesion Molecules Research (4 papers). Tim Schelfhorst is often cited by papers focused on Extracellular vesicles in disease (6 papers), MicroRNA in disease regulation (4 papers) and Cell Adhesion Molecules Research (4 papers). Tim Schelfhorst collaborates with scholars based in Netherlands, Australia and Germany. Tim Schelfhorst's co-authors include Connie R. Jiménez, Sander R. Piersma, Thang V. Pham, Jaco C. Knol, Irene V. Bijnsdorp, Jacco van Rheenen, André N. Vis, Maike Schuldt, Diederik W.D. Kuster and Michelle Michels and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and Cancer Research.

In The Last Decade

Tim Schelfhorst

16 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Schelfhorst Netherlands 12 314 130 79 76 42 16 414
Shekhar Saha United States 13 339 1.1× 240 1.8× 69 0.9× 23 0.3× 43 1.0× 34 529
Gloria Milani Italy 11 251 0.8× 57 0.4× 69 0.9× 17 0.2× 42 1.0× 16 420
Wendy Theelen Netherlands 10 260 0.8× 58 0.4× 122 1.5× 32 0.4× 21 0.5× 15 478
E S Rennel United Kingdom 4 323 1.0× 96 0.7× 79 1.0× 9 0.1× 14 0.3× 7 410
Ömer An Singapore 16 628 2.0× 210 1.6× 61 0.8× 28 0.4× 16 0.4× 30 740
Peter Wang China 12 314 1.0× 100 0.8× 119 1.5× 9 0.1× 41 1.0× 30 408
Kumiko Shiozawa Japan 11 254 0.8× 71 0.5× 100 1.3× 9 0.1× 30 0.7× 21 394
Antonina Risitano United Kingdom 7 376 1.2× 67 0.5× 43 0.5× 23 0.3× 13 0.3× 10 465
Yukie Kashima Japan 12 333 1.1× 117 0.9× 121 1.5× 7 0.1× 21 0.5× 27 473
Franklin Chung United States 4 417 1.3× 194 1.5× 75 0.9× 18 0.2× 30 0.7× 5 547

Countries citing papers authored by Tim Schelfhorst

Since Specialization
Citations

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

Fields of papers citing papers by Tim Schelfhorst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Schelfhorst

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Schelfhorst. A scholar is included among the top collaborators of Tim Schelfhorst 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 Tim Schelfhorst. Tim Schelfhorst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Schuldt, Maike, L. M. Dorsch, Jaco C. Knol, et al.. (2021). Sex-Related Differences in Protein Expression in Sarcomere Mutation-Positive Hypertrophic Cardiomyopathy. Frontiers in Cardiovascular Medicine. 8. 612215–612215. 12 indexed citations
2.
Cloos, Jacqueline, Tim Schelfhorst, Sander R. Piersma, et al.. (2021). The influence of delay in mononuclear cell isolation on acute myeloid leukemia phosphorylation profiles. Journal of Proteomics. 238. 104134–104134. 3 indexed citations
3.
Kawasaki, Makiri, Eva R. Meulendijks, Nicoline W.E. van den Berg, et al.. (2021). Neutrophil degranulation interconnects over-represented biological processes in atrial fibrillation. Scientific Reports. 11(1). 2972–2972. 14 indexed citations
4.
Schuldt, Maike, Jiayi Pei, Magdaléna Harakaľová, et al.. (2021). Proteomic and Functional Studies Reveal Detyrosinated Tubulin as Treatment Target in Sarcomere Mutation-Induced Hypertrophic Cardiomyopathy. Circulation Heart Failure. 14(1). e007022–e007022. 68 indexed citations
5.
Bijnsdorp, Irene V., Tim Schelfhorst, Frank Rolfs, et al.. (2020). Feasibility of phosphoproteomics to uncover oncogenic signalling in secreted extracellular vesicles using glioblastoma-EGFRVIII cells as a model. Journal of Proteomics. 232. 104076–104076. 8 indexed citations
6.
Large, Tessa Y. S. Le, Laura L. Meijer, Bart Kok, et al.. (2020). Combined Expression of Plasma Thrombospondin-2 and CA19-9 for Diagnosis of Pancreatic Cancer and Distal Cholangiocarcinoma: A Proteome Approach. The Oncologist. 25(4). e634–e643. 37 indexed citations
7.
Poel, Dennis, Robin Beekhof, Tim Schelfhorst, et al.. (2019). Proteomic Analysis of miR-195 and miR-497 Replacement Reveals Potential Candidates that Increase Sensitivity to Oxaliplatin in MSI/P53wt Colorectal Cancer Cells. Cells. 8(9). 1111–1111. 23 indexed citations
8.
Bornes, Laura, Evelyne Beerling, Tim Schelfhorst, et al.. (2019). Fsp1-Mediated Lineage Tracing Fails to Detect the Majority of Disseminating Cells Undergoing EMT. Cell Reports. 29(9). 2565–2569.e3. 28 indexed citations
9.
Komor, Malgorzata A., Meike de Wit, José van den Berg, et al.. (2019). Molecular characterization of colorectal adenomas reveals POFUT1 as a candidate driver of tumor progression. International Journal of Cancer. 146(7). 1979–1992. 28 indexed citations
10.
Stokman, Marijn F., Irene V. Bijnsdorp, Tim Schelfhorst, et al.. (2018). Changes in the urinary extracellular vesicle proteome are associated with nephronophthisis-related ciliopathies. Journal of Proteomics. 192. 27–36. 26 indexed citations
11.
Steenbeek, Sander Christiaan, Thang V. Pham, Joep de Ligt, et al.. (2018). Cancer cells copy migratory behavior and exchange signaling networks via extracellular vesicles. The EMBO Journal. 37(15). 60 indexed citations
12.
Steenbeek, Sander Christiaan, Thang V. Pham, Joep de Ligt, et al.. (2018). 10 Extracellular vesicles that carry signalling networks drive phenocopying of migratory behaviour between cancer cells in vivo. ESMO Open. 3. A5–A5. 1 indexed citations
13.
Komor, Malgorzata A., Thang V. Pham, Sander R. Piersma, et al.. (2017). Identification of Differentially Expressed Splice Variants by the Proteogenomic Pipeline Splicify. Molecular & Cellular Proteomics. 16(10). 1850–1863. 28 indexed citations
14.
Komor, Malgorzata A., Thang V. Pham, Sander R. Piersma, et al.. (2017). Abstract 1559: Proteogenomic analysis of alternative splicing in colorectal adenoma-to-carcinoma progression. Cancer Research. 77(13_Supplement). 1559–1559. 1 indexed citations
15.
Bijnsdorp, Irene V., Tim Schelfhorst, Sander R. Piersma, et al.. (2017). Feasibility of urinary extracellular vesicle proteome profiling using a robust and simple, clinically applicable isolation method. Journal of Extracellular Vesicles. 6(1). 1313091–1313091. 51 indexed citations
16.
Knol, Jaco C., Tim Schelfhorst, Robin Beekhof, et al.. (2016). Peptide-mediated ‘miniprep’ isolation of extracellular vesicles is suitable for high-throughput proteomics. SHILAP Revista de lepidopterología. 11. 11–15. 26 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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