Hannes E. Bülow

3.7k total citations · 1 hit paper
50 papers, 2.5k citations indexed

About

Hannes E. Bülow is a scholar working on Molecular Biology, Aging and Cell Biology. According to data from OpenAlex, Hannes E. Bülow has authored 50 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 25 papers in Aging and 21 papers in Cell Biology. Recurrent topics in Hannes E. Bülow's work include Genetics, Aging, and Longevity in Model Organisms (25 papers), Proteoglycans and glycosaminoglycans research (15 papers) and Glycosylation and Glycoproteins Research (12 papers). Hannes E. Bülow is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (25 papers), Proteoglycans and glycosaminoglycans research (15 papers) and Glycosylation and Glycoproteins Research (12 papers). Hannes E. Bülow collaborates with scholars based in United States, Germany and Israel. Hannes E. Bülow's co-authors include Oliver Hobert, David H. Hall, Carlos A. Díaz-Balzac, Robert Townley, Scott W. Emmons, Yehuda Salzberg, Leo T. H. Tang, Steven J. Cook, Nelson J. Ramírez-Suárez and Zaven Kaprielian and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Hannes E. Bülow

50 papers receiving 2.4k citations

Hit Papers

Whole-animal connectomes of both Caenorhabditis elegans s... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannes E. Bülow United States 26 1.2k 889 829 570 433 50 2.5k
Christopher Rongo United States 23 1.4k 1.1× 964 1.1× 610 0.7× 498 0.9× 356 0.8× 44 2.3k
Michael J. Bastiani United States 29 2.1k 1.7× 715 0.8× 746 0.9× 2.1k 3.6× 152 0.4× 43 4.0k
Ken C. Q. Nguyen United States 28 2.0k 1.6× 1.1k 1.2× 641 0.8× 439 0.8× 393 0.9× 54 3.4k
Gabrielle L. Boulianne Canada 32 2.4k 1.9× 618 0.7× 934 1.1× 1.2k 2.0× 156 0.4× 78 4.0k
Alex Hajnal Switzerland 27 1.4k 1.1× 1.1k 1.3× 520 0.6× 247 0.4× 404 0.9× 71 2.4k
Ianessa Morantte United States 15 1.4k 1.2× 608 0.7× 311 0.4× 510 0.9× 231 0.5× 16 2.4k
Maureen M. Barr United States 40 3.4k 2.7× 1.1k 1.3× 1.0k 1.2× 345 0.6× 508 1.2× 68 4.8k
Karl Kornacker United States 17 1.5k 1.2× 240 0.3× 167 0.2× 445 0.8× 850 2.0× 26 2.9k
Harald Hutter Canada 30 1.4k 1.2× 1.6k 1.8× 451 0.5× 393 0.7× 459 1.1× 62 2.8k

Countries citing papers authored by Hannes E. Bülow

Since Specialization
Citations

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

Fields of papers citing papers by Hannes E. Bülow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannes E. Bülow. 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 Hannes E. Bülow. The network helps show where Hannes E. Bülow may publish in the future.

Co-authorship network of co-authors of Hannes E. Bülow

This figure shows the co-authorship network connecting the top 25 collaborators of Hannes E. Bülow. A scholar is included among the top collaborators of Hannes E. Bülow 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 Hannes E. Bülow. Hannes E. Bülow 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.
Díaz-Balzac, Carlos A., et al.. (2024). RABR-1, an atypical Rab-related GTPase, cell-nonautonomously restricts somatosensory dendrite branching. Genetics. 228(2). 1 indexed citations
2.
Bülow, Hannes E., et al.. (2024). Heparan sulfates and heparan sulfate proteoglycans in hematopoiesis. Blood. 143(25). 2571–2587. 2 indexed citations
3.
Ramírez-Suárez, Nelson J., et al.. (2023). Convertase-dependent regulation of membrane-tethered and secreted ligands tunes dendrite adhesion. Development. 150(18). 3 indexed citations
4.
Ramírez-Suárez, Nelson J., et al.. (2022). Specific N ‐glycans regulate an extracellular adhesion complex during somatosensory dendrite patterning. EMBO Reports. 23(7). e54163–e54163. 5 indexed citations
5.
Liu, Yang, Pamela Stanley, Amit Verma, et al.. (2022). A glycan-based approach to cell characterization and isolation: Hematopoiesis as a paradigm. The Journal of Experimental Medicine. 219(11). 3 indexed citations
6.
Zhou, Xin, et al.. (2021). The HSPG syndecan is a core organizer of cholinergic synapses. The Journal of Cell Biology. 220(9). 18 indexed citations
7.
Tang, Leo T. H., Jenna R. Freund, Nelson J. Ramírez-Suárez, et al.. (2021). The CATP-8/P5A-type ATPase functions in multiple pathways during neuronal patterning. PLoS Genetics. 17(7). e1009475–e1009475. 11 indexed citations
9.
Cook, Steven J., Christopher A. Brittin, Yi Wang, et al.. (2019). Whole-animal connectomes of both Caenorhabditis elegans sexes. Nature. 571(7763). 63–71. 477 indexed citations breakdown →
10.
Ramírez-Suárez, Nelson J., Ken C. Q. Nguyen, Julius Fredens, et al.. (2019). Axon-Dependent Patterning and Maintenance of Somatosensory Dendritic Arbors. Developmental Cell. 48(2). 229–244.e4. 25 indexed citations
11.
Díaz-Balzac, Carlos A., et al.. (2018). Synaptogenesis Is Modulated by Heparan Sulfate in Caenorhabditis elegans. Genetics. 209(1). 195–208. 17 indexed citations
12.
Bülow, Hannes E., et al.. (2016). Conservation of anatomically restricted glycosaminoglycan structures in divergent nematode species. Glycobiology. 26(8). 862–870. 11 indexed citations
13.
Díaz-Balzac, Carlos A., et al.. (2016). Muscle- and Skin-Derived Cues Jointly Orchestrate Patterning of Somatosensory Dendrites. Current Biology. 26(17). 2379–2387. 43 indexed citations
14.
Desbois, Muriel, et al.. (2012). Direct visualization of specifically modified extracellular glycans in living animals. Nature Methods. 9(5). 477–479. 29 indexed citations
15.
MacColl, Gavin, Richard Quinton, & Hannes E. Bülow. (2010). Biology of <i>KAL1</i> and Its Orthologs: Implications for X-Linked Kallmann Syndrome and the Search for Novel Candidate Genes. Frontiers of hormone research. 39. 62–77. 5 indexed citations
16.
Townley, Robert, et al.. (2009). The PAPS transporter PST-1 is required for heparan sulfation and is essential for viability and neural development inC. elegans. Journal of Cell Science. 122(24). 4492–4504. 23 indexed citations
17.
Bülow, Hannes E., Thomas Boulin, & Oliver Hobert. (2004). Differential Functions of the C. elegans FGF Receptor in Axon Outgrowth and Maintenance of Axon Position. Neuron. 42(3). 367–374. 87 indexed citations
18.
Bülow, Hannes E. & Oliver Hobert. (2004). Differential Sulfations and Epimerization Define Heparan Sulfate Specificity in Nervous System Development. Neuron. 41(5). 723–736. 202 indexed citations
19.
Bülow, Hannes E., et al.. (2003). A C. elegans CLIC-like Protein Required for Intracellular Tube Formation and Maintenance. Science. 302(5653). 2134–2137. 134 indexed citations
20.
Bülow, Hannes E. & Rita Bernhardt. (2002). Analyses of the CYP11B gene family in the guinea pig suggest the existence of a primordial CYP11B gene with aldosterone synthase activity. European Journal of Biochemistry. 269(15). 3838–3846. 35 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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