Bodo Lange

2.6k total citations
58 papers, 1.7k citations indexed

About

Bodo Lange is a scholar working on Molecular Biology, Cell Biology and Infectious Diseases. According to data from OpenAlex, Bodo Lange has authored 58 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 19 papers in Cell Biology and 7 papers in Infectious Diseases. Recurrent topics in Bodo Lange's work include Microtubule and mitosis dynamics (17 papers), Ubiquitin and proteasome pathways (9 papers) and Bioinformatics and Genomic Networks (8 papers). Bodo Lange is often cited by papers focused on Microtubule and mitosis dynamics (17 papers), Ubiquitin and proteasome pathways (9 papers) and Bioinformatics and Genomic Networks (8 papers). Bodo Lange collaborates with scholars based in Germany, United Kingdom and Spain. Bodo Lange's co-authors include Keith Gull, Hans Lehrach, Volker Kaden, Cayetano González, Johan Gobom, Christoph Wierling, Verena Lehmann, Hanne Varmark, José Reina and Heinz Schwarz and has published in prestigious journals such as Science, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Bodo Lange

57 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bodo Lange Germany 22 1.1k 625 220 155 153 58 1.7k
Yoshiyuki Matsuura Japan 22 2.4k 2.2× 366 0.6× 475 2.2× 194 1.3× 36 0.2× 52 3.4k
Joachim D. Mueller United States 24 806 0.7× 205 0.3× 96 0.4× 378 2.4× 180 1.2× 108 1.9k
E Fries Sweden 17 989 0.9× 590 0.9× 261 1.2× 277 1.8× 29 0.2× 24 1.9k
Colin M. Crump United Kingdom 28 1.2k 1.1× 636 1.0× 347 1.6× 548 3.5× 21 0.1× 49 2.8k
C. Dingwall United Kingdom 20 2.2k 2.0× 247 0.4× 312 1.4× 239 1.5× 55 0.4× 22 2.8k
Prasanna R. Kolatkar Singapore 32 1.8k 1.7× 131 0.2× 370 1.7× 289 1.9× 92 0.6× 94 2.9k
Yohei Yamauchi Japan 28 867 0.8× 204 0.3× 347 1.6× 510 3.3× 41 0.3× 57 2.0k
Neil M. McKern Australia 33 2.0k 1.8× 178 0.3× 277 1.3× 201 1.3× 57 0.4× 56 3.7k
Miroslav Dundr United States 42 5.0k 4.5× 541 0.9× 380 1.7× 469 3.0× 259 1.7× 66 5.7k
Stephanie Kallis Germany 20 833 0.8× 277 0.4× 91 0.4× 293 1.9× 60 0.4× 22 3.5k

Countries citing papers authored by Bodo Lange

Since Specialization
Citations

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

Fields of papers citing papers by Bodo Lange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bodo Lange

This figure shows the co-authorship network connecting the top 25 collaborators of Bodo Lange. A scholar is included among the top collaborators of Bodo Lange 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 Bodo Lange. Bodo Lange 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.
Künzel, Steffen E., Sergej Skosyrski, Anne Rübsam, et al.. (2024). Exploring the Impact of Saccharin on Neovascular Age-Related Macular Degeneration: A Comprehensive Study in Patients and Mice. Investigative Ophthalmology & Visual Science. 65(4). 5–5. 1 indexed citations
2.
Künzel, Steffen E., Anne Rübsam, Felix Dreher, et al.. (2023). Systemic Blood Proteome Patterns Reflect Disease Phenotypes in Neovascular Age-Related Macular Degeneration. International Journal of Molecular Sciences. 24(12). 10327–10327. 5 indexed citations
3.
Pike, Jeremy A., Ying Di, Natalie S. Poulter, et al.. (2022). Experimental validation of computerised models of clustering of platelet glycoprotein receptors that signal via tandem SH2 domain proteins. PLoS Computational Biology. 18(11). e1010708–e1010708. 4 indexed citations
4.
Leyvraz, Serge, Mieke Schutte, Torsten Keßler, et al.. (2020). 1142P Treatment of metastatic uveal melanoma (mUM) through genomic profiling. Annals of Oncology. 31. S764–S764.
5.
Gu, Wei, Venkata Satagopam, Adriano Barbosa-Silva, et al.. (2019). Data and knowledge management in translational research: implementation of the eTRIKS platform for the IMI OncoTrack consortium. BMC Bioinformatics. 20(1). 164–164. 5 indexed citations
6.
Fröhlich, Fabian, T. Keßler, Daniel Weindl, et al.. (2018). Efficient Parameter Estimation Enables the Prediction of Drug Response Using a Mechanistic Pan-Cancer Pathway Model. Cell Systems. 7(6). 567–579.e6. 84 indexed citations
7.
Ogilvie, Lesley A., et al.. (2017). Models of Models: A Translational Route for Cancer Treatment and Drug Development. Frontiers in Oncology. 7. 219–219. 17 indexed citations
8.
Li, Huaibiao, Lucien Frappart, Jürgen Moll, et al.. (2016). Impaired Planar Germ Cell Division in the Testis, Caused by Dissociation of RHAMM from the Spindle, Results in Hypofertility and Seminoma. Cancer Research. 76(21). 6382–6395. 28 indexed citations
9.
Henderson, David, Lesley A. Ogilvie, Nicholas R Hoyle, et al.. (2014). Personalized medicine approaches for colon cancer driven by genomics and systems biology: OncoTrack. Biotechnology Journal. 9(9). 1104–1114. 30 indexed citations
10.
Dreher, Felix, Thomas Kreitler, Christopher Hardt, et al.. (2012). DIPSBC - data integration platform for systems biology collaborations. BMC Bioinformatics. 13(1). 85–85. 7 indexed citations
11.
Lunshof, Jeantine E., et al.. (2011). Health technology assessment in the era of personalized health care. International Journal of Technology Assessment in Health Care. 27(2). 118–126. 23 indexed citations
12.
Klebl, Bert, et al.. (2010). A Flexible Multiwell Format for Immunofluorescence Screening Microscopy of Small-Molecule Inhibitors. Assay and Drug Development Technologies. 8(5). 571–580. 2 indexed citations
13.
Schirrmeier, Horst, Günther M. Keil, Bodo Lange, et al.. (2009). Pea‐derived vaccines demonstrate high immunogenicity and protection in rabbits against rabbit haemorrhagic disease virus. Plant Biotechnology Journal. 7(6). 537–549. 29 indexed citations
14.
Kaden, Volker, et al.. (2008). Classical swine fever virus strain “C” protects the offspring by oral immunisation of pregnant sows. Veterinary Microbiology. 130(1-2). 20–27. 16 indexed citations
15.
Varmark, Hanne, Salud Llamazares, Elena Rebollo, et al.. (2007). Asterless Is a Centriolar Protein Required for Centrosome Function and Embryo Development in Drosophila. Current Biology. 17(20). 1735–1745. 128 indexed citations
16.
Sauer, Sascha, Bodo Lange, Johan Gobom, et al.. (2005). Miniaturization in functional genomics and proteomics. Nature Reviews Genetics. 6(6). 465–476. 101 indexed citations
17.
Lange, Bodo. (2002). Cdc37 is essential for chromosome segregation and cytokinesis in higher eukaryotes. The EMBO Journal. 21(20). 5364–5374. 44 indexed citations
18.
Lange, Bodo. (2002). Integration of the centrosome in cell cycle control, stress response and signal transduction pathways. Current Opinion in Cell Biology. 14(1). 35–43. 83 indexed citations
19.
Kaden, Volker & Bodo Lange. (2001). Oral immunisation against classical swine fever (CSF): onset and duration of immunity. Veterinary Microbiology. 82(4). 301–310. 65 indexed citations
20.
Lange, Bodo, et al.. (1999). Centriole duplication and maturation in animal cells. Current topics in developmental biology. 49. 235–249. 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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