Venita Daebel

14 total papers · 463 total citations
9 papers, 378 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 378 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 RNA and protein synthesis mechanisms (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 RNA and protein synthesis mechanisms (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, Henrik Müller, M. Schwalbe, Jacek Biernat, Antoine Loquet 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 377 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Venita Daebel	234	153	97	66	48	9	378
Diana C. Rodriguez Camargo	246 1.1×	227 1.5×	98 1.0×	61 0.9×	56 1.2×	15	433
Matthew R. Elkins	242 1.0×	102 0.7×	133 1.4×	65 1.0×	25 0.5×	8	369
Ujjayini Ghosh	262 1.1×	170 1.1×	66 0.7×	35 0.5×	54 1.1×	14	360
Alexey B. Mantsyzov	236 1.0×	186 1.2×	53 0.5×	54 0.8×	15 0.3×	20	386
Arthur M. Felix	301 1.3×	233 1.5×	46 0.5×	35 0.5×	58 1.2×	10	430
Charles K. Mobley	230 1.0×	105 0.7×	52 0.5×	43 0.7×	16 0.3×	10	344
Garima Jaipuria	233 1.0×	28 0.2×	112 1.2×	58 0.9×	34 0.7×	19	377
Zrinka Gattin	297 1.3×	45 0.3×	72 0.7×	66 1.0×	27 0.6×	17	372
Daniel T. Ladror	166 0.7×	133 0.9×	102 1.1×	22 0.3×	21 0.4×	14	398
Muralidharan Chandrakesan	250 1.1×	356 2.3×	67 0.7×	36 0.5×	105 2.2×	12	440

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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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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