Venita Daebel

464 total citations
9 papers, 381 citations indexed

About

Venita Daebel is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, Venita Daebel has authored 9 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Spectroscopy and 2 papers in Organic Chemistry. Recurrent topics in Venita Daebel's work include Advanced NMR Techniques and Applications (5 papers), Protein Structure and Dynamics (3 papers) and Alzheimer's disease research and treatments (2 papers). Venita Daebel is often cited by papers focused on Advanced NMR Techniques and Applications (5 papers), Protein Structure and Dynamics (3 papers) and Alzheimer's disease research and treatments (2 papers). Venita Daebel collaborates with scholars based in Germany, United States and Taiwan. Venita Daebel's co-authors include Adam Lange, Markus Zweckstetter, Christian Griesinger, Dirk Matthes, Bert L. de Groot, Vytautas Gapsys, M. Schwalbe, Henrik Müller, Subashchandrabose Chinnathambi and Birgit Habenstein and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Venita Daebel

9 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Venita Daebel Germany	8	235	153	97	66	50	9	381
James A. Jarvis United Kingdom	10	278 1.2×	334 2.2×	119 1.2×	123 1.9×	44 0.9×	19	810
Alana K. Simorellis United States	9	231 1.0×	191 1.2×	56 0.6×	64 1.0×	20 0.4×	13	629
Toni Vagt Germany	10	330 1.4×	212 1.4×	106 1.1×	68 1.0×	129 2.6×	11	473
Martin D. Jeppesen Denmark	9	297 1.3×	167 1.1×	99 1.0×	80 1.2×	103 2.1×	9	455
M. F. Colombo Brazil	11	410 1.7×	111 0.7×	56 0.6×	78 1.2×	20 0.4×	25	615
Garima Jaipuria India	11	233 1.0×	29 0.2×	112 1.2×	58 0.9×	34 0.7×	19	379
Debanjan Bhowmik India	15	323 1.4×	376 2.5×	73 0.8×	60 0.9×	136 2.7×	26	601
Zrinka Gattin Switzerland	11	297 1.3×	45 0.3×	72 0.7×	66 1.0×	27 0.5×	17	372
Bidyut Sarkar India	13	324 1.4×	382 2.5×	92 0.9×	67 1.0×	111 2.2×	22	596
Muralidharan Chandrakesan India	9	252 1.1×	360 2.4×	67 0.7×	36 0.5×	105 2.1×	12	446

Countries citing papers authored by Venita Daebel

Since Specialization

Citations

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

Fields of papers citing papers by Venita Daebel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Venita Daebel

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

All Works

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9 of 9 papers shown

Barbet‐Massin, Emeline, et al.. (2015). Site‐Specific Solid‐State NMR Studies of “Trigger Factor” in Complex with the Large Ribosomal Subunit 50S. Angewandte Chemie International Edition. 54(14). 4367–4369. 34 indexed citations

Barbet‐Massin, Emeline, et al.. (2015). Ortsaufgelöste Festkörper‐NMR‐Studien am “Trigger‐Faktor” im Komplex mit der großen ribosomalen 50S‐Untereinheit. Angewandte Chemie. 127(14). 4441–4444. 8 indexed citations

Siegel, Renée, et al.. (2014). Influence of fluorine side-group substitution on the crystal structure formation of benzene-1,3,5-trisamides. CrystEngComm. 16(39). 9273–9283. 9 indexed citations

Matthes, Dirk, Venita Daebel, Karsten Meyenberg, et al.. (2013). Spontaneous Aggregation of the Insulin-Derived Steric Zipper Peptide VEALYL Results in Different Aggregation Forms with Common Features. Journal of Molecular Biology. 426(2). 362–376. 23 indexed citations

Daebel, Venita, Subashchandrabose Chinnathambi, Jacek Biernat, et al.. (2012). β-Sheet Core of Tau Paired Helical Filaments Revealed by Solid-State NMR. Journal of the American Chemical Society. 134(34). 13982–13989. 170 indexed citations

Matthes, Dirk, Vytautas Gapsys, Venita Daebel, & Bert L. de Groot. (2011). Mapping the Conformational Dynamics and Pathways of Spontaneous Steric Zipper Peptide Oligomerization. PLoS ONE. 6(5). e19129–e19129. 46 indexed citations

Schneider, Robert C., Manuel Etzkorn, Karin Giller, et al.. (2010). The Native Conformation of the Human VDAC1 N Terminus. Angewandte Chemie International Edition. 49(10). 1882–1885. 53 indexed citations

Demeshko, Serhiy, et al.. (2010). Highly preorganized pyrazolate-bridged palladium(ii) and nickel(ii) complexes in bimetallic norbornene polymerization. Dalton Transactions. 39(16). 3903–3903. 34 indexed citations

Schneider, Robert C., Manuel Etzkorn, Karin Giller, et al.. (2010). Die native Konformation des N‐Terminus des humanen spannungsabhängigen Anionenkanals VDAC1. Angewandte Chemie. 122(10). 1926–1929. 4 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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