Michel Nederlof

1.7k total citations
22 papers, 410 citations indexed

About

Michel Nederlof is a scholar working on Molecular Biology, Biophysics and Oncology. According to data from OpenAlex, Michel Nederlof has authored 22 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Biophysics and 4 papers in Oncology. Recurrent topics in Michel Nederlof's work include Cell Image Analysis Techniques (5 papers), Advanced Biosensing Techniques and Applications (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Michel Nederlof is often cited by papers focused on Cell Image Analysis Techniques (5 papers), Advanced Biosensing Techniques and Applications (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Michel Nederlof collaborates with scholars based in United States and Japan. Michel Nederlof's co-authors include D. Lansing Taylor, Alan S. Waggoner, Patricia A. Conrad, Ira M. Herman, Koei Chin, Joe W. Gray, Linda M. Ernst, Summer L. Gibbs, P. A. Conrad and Gary R. Bright and has published in prestigious journals such as Scientific Reports, Annual Review of Physiology and Journal of Biomedical Optics.

In The Last Decade

Michel Nederlof

21 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michel Nederlof United States 10 214 152 80 78 58 22 410
Marina S. Dietz Germany 17 365 1.7× 209 1.4× 56 0.7× 75 1.0× 47 0.8× 38 586
Penny E. Morton United Kingdom 12 203 0.9× 73 0.5× 137 1.7× 41 0.5× 41 0.7× 18 465
Sebastian Letschert Germany 9 338 1.6× 147 1.0× 60 0.8× 87 1.1× 117 2.0× 11 555
Koray Kırlı United States 3 422 2.0× 102 0.7× 33 0.4× 71 0.9× 38 0.7× 3 493
Florian Baumgart Austria 13 266 1.2× 157 1.0× 50 0.6× 68 0.9× 70 1.2× 20 580
Kristin H. Kain United States 5 469 2.2× 141 0.9× 170 2.1× 28 0.4× 61 1.1× 12 645
Shintaro Mikuni Japan 12 315 1.5× 122 0.8× 25 0.3× 25 0.3× 60 1.0× 28 480
Douglas B. Wheeler United States 6 583 2.7× 229 1.5× 104 1.3× 115 1.5× 53 0.9× 7 841
Li-Jung Lin United States 8 341 1.6× 110 0.7× 70 0.9× 42 0.5× 29 0.5× 8 445
Jan F. Keij United States 13 272 1.3× 80 0.5× 33 0.4× 106 1.4× 18 0.3× 24 458

Countries citing papers authored by Michel Nederlof

Since Specialization
Citations

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

Fields of papers citing papers by Michel Nederlof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Nederlof

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

All Works

20 of 20 papers shown
1.
Jones, Jocelyn, et al.. (2024). Ultra high content analyses of circulating and tumor associated hybrid cells reveal phenotypic heterogeneity. Scientific Reports. 14(1). 7350–7350. 5 indexed citations
2.
Jones, Jocelyn, Ting Zheng, Jennifer Eng, et al.. (2021). Oligonucleotide conjugated antibody strategies for cyclic immunostaining. Scientific Reports. 11(1). 23844–23844. 18 indexed citations
3.
Kwon, Sunjong, Koei Chin, & Michel Nederlof. (2020). Simultaneous Detection of RNAs and Proteins with Subcellular Resolution. Methods in molecular biology. 2161. 59–73. 2 indexed citations
4.
Jones, Jocelyn, Sunjong Kwon, Koei Chin, et al.. (2020). Fluorescent Imaging for In Situ Measurement of Drug Target Engagement and Cell Signaling Pathways.. PubMed. 11219. 1 indexed citations
5.
Jones, Jocelyn, Sunjong Kwon, Koei Chin, et al.. (2020). Oligonucleotide conjugated antibodies permit highly multiplexed immunofluorescence for future use in clinical histopathology. Journal of Biomedical Optics. 25(5). 1–1. 18 indexed citations
6.
Smith, Rebecca, Kaylyn L. Devlin, David Kilburn, et al.. (2019). Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer. Journal of Visualized Experiments. 9 indexed citations
7.
Jones, Jocelyn, Jennifer Eng, Sunjong Kwon, et al.. (2019). Signal removal methods for highly multiplexed immunofluorescent staining using antibody conjugated oligonucleotides. PubMed. 98. 32–32. 1 indexed citations
8.
Devlin, Kaylyn L., David Kilburn, Sean M. Gross, et al.. (2019). Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer. Journal of Visualized Experiments.
9.
Watson, Spencer S., Mark Dane, Koei Chin, et al.. (2018). Microenvironment-Mediated Mechanisms of Resistance to HER2 Inhibitors Differ between HER2+ Breast Cancer Subtypes. Cell Systems. 6(3). 329–342.e6. 50 indexed citations
10.
Wang, Lei, et al.. (2018). Varied Length Stokes Shift BODIPY-Based Fluorophores for Multicolor Microscopy. Scientific Reports. 8(1). 4590–4590. 25 indexed citations
11.
Kwon, Sunjong, Koei Chin, Michel Nederlof, & Joe W. Gray. (2017). Quantitative, in situ analysis of mRNAs and proteins with subcellular resolution. Scientific Reports. 7(1). 16459–16459. 6 indexed citations
12.
Nederlof, Michel, et al.. (2011). High-throughput profiling of tissue and tissue model microarrays: Combined transmitted light and 3-color fluorescence digital pathology. Journal of Pathology Informatics. 2(1). 50–50. 9 indexed citations
13.
Taylor, D. Lansing, R L DeBiasio, Scott E. Fahlman, et al.. (1996). <title>Automated interactive microscopy: measuring and manipulating the chemical and molecular dynamics of cells and tissues</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2678. 15–27. 9 indexed citations
14.
Farkas, Daniel L., R L DeBiasio, Albert Gough, et al.. (1993). Multimode Light Microscopy and the Dynamics of Molecules, Cells, and Tissues. Annual Review of Physiology. 55(1). 785–817. 56 indexed citations
15.
16.
Taylor, D. Lansing, Michel Nederlof, Frederick Lanni, & Alan S. Waggoner. (1992). The New Technology of Light Microscopy. American Scientist. 80(4). 322–335. 24 indexed citations
17.
Nederlof, Michel, Andrew Witkin, & D. Lansing Taylor. (1991). Knowledge driven image analysis of cell structures.. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1428. 233–241. 1 indexed citations
18.
Galbraith, W., M. Wagner, Jean Chao, et al.. (1991). Imaging cytometry by multiparameter fluorescence. Cytometry. 12(7). 579–596. 44 indexed citations
19.
Waggoner, Alan S., P. A. Conrad, Gary R. Bright, et al.. (1989). Chapter 17 Multiple Spectral Parameter Imaging. Methods in cell biology. 30. 449–478. 69 indexed citations
20.
Conrad, Patricia A., Michel Nederlof, Ira M. Herman, & D. Lansing Taylor. (1989). Correlated distribution of actin, myosin, and microtubules at the leading edge of migrating swiss 3T3 fibroblasts. Cell Motility and the Cytoskeleton. 14(4). 527–543. 50 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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