V. An‐Erl King

29 total papers · 968 total citations
29 papers, 762 citations indexed

About

V. An‐Erl King is a scholar working on Food Science, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, V. An‐Erl King has authored 29 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Food Science, 11 papers in Nutrition and Dietetics and 8 papers in Molecular Biology. Recurrent topics in V. An‐Erl King's work include Probiotics and Fermented Foods (15 papers), Microbial Metabolites in Food Biotechnology (11 papers) and Freezing and Crystallization Processes (6 papers). V. An‐Erl King is often cited by papers focused on Probiotics and Fermented Foods (15 papers), Microbial Metabolites in Food Biotechnology (11 papers) and Freezing and Crystallization Processes (6 papers). V. An‐Erl King collaborates with scholars based in Taiwan, United States and China. V. An‐Erl King's co-authors include Jen‐Horng Tsen, Robert R. Zall, Huiying Huang, Yi‐Jing Liu, Pei‐Shan Hsieh, Yi‐Chun Tsai, Yi‐Chun Chen, Ying An and Yi‐Chun Chen and has published in prestigious journals such as Food Research International, International Journal of Food Microbiology and Journal of Food Engineering.

In The Last Decade

V. An‐Erl King

29 papers receiving 716 citations

Author Peers

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

Author						Papers	Cites
V. An‐Erl King	577	239	161	109	106	29	762
Linlin Li	617 1.1×	188 0.8×	64 0.4×	41 0.4×	95 0.9×	47	815
Itaru Sotome	398 0.7×	210 0.9×	64 0.4×	146 1.3×	52 0.5×	48	718
Cecilia E. Martínez‐Sánchez	529 0.9×	264 1.1×	101 0.6×	56 0.5×	59 0.6×	48	832
Cristina Barrera	501 0.9×	199 0.8×	70 0.4×	114 1.0×	65 0.6×	42	765
Nicolò Dellarosa	432 0.7×	200 0.8×	148 0.9×	192 1.8×	39 0.4×	19	794
Mohammed Nasreddine Zidoune	440 0.8×	365 1.5×	290 1.8×	124 1.1×	36 0.3×	45	900
Alicia Grajales‐Lagunes	478 0.8×	154 0.6×	67 0.4×	49 0.4×	57 0.5×	61	805
Marisela González‐Ávila	411 0.7×	270 1.1×	217 1.3×	52 0.5×	18 0.2×	42	799
T. Jankowski	374 0.6×	316 1.3×	118 0.7×	57 0.5×	17 0.2×	35	720
Liya Niu	354 0.6×	338 1.4×	156 1.0×	34 0.3×	47 0.4×	45	758

Countries citing papers authored by V. An‐Erl King

Since Specialization

Citations

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

Fields of papers citing papers by V. An‐Erl King

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. An‐Erl King. 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 V. An‐Erl King. The network helps show where V. An‐Erl King may publish in the future.

Co-authorship network of co-authors of V. An‐Erl King

This figure shows the co-authorship network connecting the top 25 collaborators of V. An‐Erl King. A scholar is included among the top collaborators of V. An‐Erl King 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 V. An‐Erl King. V. An‐Erl King 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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