H. C. Kaerner

27 total papers · 619 total citations
23 papers, 548 citations indexed

About

H. C. Kaerner is a scholar working on Epidemiology, Molecular Biology and Genetics. According to data from OpenAlex, H. C. Kaerner has authored 23 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 9 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in H. C. Kaerner's work include Herpesvirus Infections and Treatments (18 papers), Virus-based gene therapy research (6 papers) and RNA and protein synthesis mechanisms (5 papers). H. C. Kaerner is often cited by papers focused on Herpesvirus Infections and Treatments (18 papers), Virus-based gene therapy research (6 papers) and RNA and protein synthesis mechanisms (5 papers). H. C. Kaerner collaborates with scholars based in Germany, United States and China. H. C. Kaerner's co-authors include Claus H. Schröder, G. Kümel, Joseph C. Glorioso, C. Gray, Hartmut Hoffmann‐Berling, Christoph Schröder, Holger Kirchner, Michael Levine, Rolf Knippers and H. Engler and has published in prestigious journals such as Nucleic Acids Research, Journal of Molecular Biology and Journal of Virology.

In The Last Decade

H. C. Kaerner

23 papers receiving 477 citations

Author Peers

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

Author						Papers	Cites
H. C. Kaerner	446	167	156	114	74	23	548
S. K. Vernon	399 0.9×	193 1.2×	112 0.7×	153 1.3×	126 1.7×	24	600
Robert M. McCombs	394 0.9×	135 0.8×	88 0.6×	110 1.0×	32 0.4×	24	573
James T. Matthews	469 1.1×	113 0.7×	181 1.2×	177 1.6×	55 0.7×	15	603
K. K. A. Goswami	366 0.8×	115 0.7×	88 0.6×	57 0.5×	53 0.7×	14	516
H. Moss	504 1.1×	162 1.0×	131 0.8×	70 0.6×	99 1.3×	12	567
Kamesaburo Yoshino	430 1.0×	147 0.9×	110 0.7×	105 0.9×	105 1.4×	51	593
T Ogino	313 0.7×	203 1.2×	81 0.5×	139 1.2×	29 0.4×	35	520
H Locker	477 1.1×	203 1.2×	67 0.4×	155 1.4×	44 0.6×	8	560
I-Hsuan Wang	183 0.4×	246 1.5×	103 0.7×	276 2.4×	59 0.8×	13	616
R.J. Eisenberg	536 1.2×	194 1.2×	204 1.3×	82 0.7×	88 1.2×	9	605

Countries citing papers authored by H. C. Kaerner

Since Specialization

Citations

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

Fields of papers citing papers by H. C. Kaerner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. C. Kaerner. 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 H. C. Kaerner. The network helps show where H. C. Kaerner may publish in the future.

Co-authorship network of co-authors of H. C. Kaerner

This figure shows the co-authorship network connecting the top 25 collaborators of H. C. Kaerner. A scholar is included among the top collaborators of H. C. Kaerner 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 H. C. Kaerner. H. C. Kaerner 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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