Ralf Eggeling

39 total papers · 661 total citations
19 papers, 237 citations indexed

About

Ralf Eggeling is a scholar working on Molecular Biology, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Ralf Eggeling has authored 19 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Artificial Intelligence and 3 papers in Infectious Diseases. Recurrent topics in Ralf Eggeling's work include Bayesian Modeling and Causal Inference (6 papers), Gene expression and cancer classification (5 papers) and Genomics and Chromatin Dynamics (4 papers). Ralf Eggeling is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Gene expression and cancer classification (5 papers) and Genomics and Chromatin Dynamics (4 papers). Ralf Eggeling collaborates with scholars based in Germany, Finland and Portugal. Ralf Eggeling's co-authors include Ivo Große, Mikko Koivisto, Nico Pfeifer, Teemu Roos, Petri Myllymäki, Florian Klein, Lutz Gieselmann, Henning Gruell, Christine Dahlke and Hadas Cohen‐Dvashi and has published in prestigious journals such as Nucleic Acids Research, Nature Medicine and Bioinformatics.

In The Last Decade

Ralf Eggeling

17 papers receiving 232 citations

Author Peers

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

Author						Papers	Cites
Ralf Eggeling	109	86	35	34	24	19	237
G.R. Kulkarni	125 1.1×	26 0.3×	26 0.7×	19 0.6×	21 0.9×	35	302
Jeng-Yih Chang	208 1.9×	70 0.8×	25 0.7×	13 0.4×	11 0.5×	13	322
Rohit Tyagi	86 0.8×	40 0.5×	28 0.8×	27 0.8×	13 0.5×	28	280
Benjamin Liang	70 0.6×	127 1.5×	39 1.1×	9 0.3×	28 1.2×	19	276
Ulykbek Kairov	142 1.3×	36 0.4×	24 0.7×	21 0.6×	16 0.7×	47	275
Manish Sharma	47 0.4×	52 0.6×	20 0.6×	21 0.6×	17 0.7×	26	233
Geoffrey Siwo	91 0.8×	21 0.2×	21 0.6×	16 0.5×	21 0.9×	22	235
Xiaoqian Wu	90 0.8×	146 1.7×	36 1.0×	31 0.9×	16 0.7×	13	330
Shaowu Tang	143 1.3×	55 0.6×	54 1.5×	13 0.4×	8 0.3×	11	302
Timothy Hancock	133 1.2×	50 0.6×	56 1.6×	24 0.7×	8 0.3×	16	302

Countries citing papers authored by Ralf Eggeling

Since Specialization

Citations

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

Fields of papers citing papers by Ralf Eggeling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ralf Eggeling

This figure shows the co-authorship network connecting the top 25 collaborators of Ralf Eggeling. A scholar is included among the top collaborators of Ralf Eggeling 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 Ralf Eggeling. Ralf Eggeling 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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