Kerstin Blessing

13 total papers · 562 total citations
9 papers, 417 citations indexed

About

Kerstin Blessing is a scholar working on Infectious Diseases, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kerstin Blessing has authored 9 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Epidemiology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kerstin Blessing's work include Respiratory viral infections research (5 papers), Viral gastroenteritis research and epidemiology (3 papers) and Polyomavirus and related diseases (2 papers). Kerstin Blessing is often cited by papers focused on Respiratory viral infections research (5 papers), Viral gastroenteritis research and epidemiology (3 papers) and Polyomavirus and related diseases (2 papers). Kerstin Blessing collaborates with scholars based in Germany, United States and Switzerland. Kerstin Blessing's co-authors include Florian Neske, Benedikt Weißbrich, Hans Wolfgang Kreth, Jörg Schubert, Franz Tollmann, Axel Rethwilm, Mirjam Stahl, Olaf Sommerburg, Susanne Hämmerling and Philipp Latzin and has published in prestigious journals such as Journal of Clinical Microbiology, Emerging infectious diseases and The Pediatric Infectious Disease Journal.

In The Last Decade

Kerstin Blessing

9 papers receiving 404 citations

Author Peers

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

Author						Papers	Cites
Kerstin Blessing	308	264	134	51	48	9	417
Anne Lahtinen	275 0.9×	260 1.0×	78 0.6×	94 1.8×	79 1.6×	8	435
Kevin Jacob	343 1.1×	228 0.9×	73 0.5×	109 2.1×	59 1.2×	11	464
Christiane Prifert	319 1.0×	182 0.7×	111 0.8×	61 1.2×	28 0.6×	15	418
Jewel M. Greer	256 0.8×	138 0.5×	25 0.2×	66 1.3×	40 0.8×	10	384
Biswa Nath Sharma	142 0.5×	90 0.3×	27 0.2×	195 3.8×	106 2.2×	10	394
Jennifer B. Brown	422 1.4×	293 1.1×	112 0.8×	9 0.2×	10 0.2×	5	467
Sheila M. Gillespie	79 0.3×	252 1.0×	10 0.1×	58 1.1×	26 0.5×	12	438
Franz Tollmann	246 0.8×	292 1.1×	84 0.6×	70 1.4×	4 0.1×	7	399
Leticia Ely	256 0.8×	65 0.2×	75 0.6×	47 0.9×	8 0.2×	9	371
Jia Meng	389 1.3×	177 0.7×	179 1.3×	8 0.2×	9 0.2×	11	469

Countries citing papers authored by Kerstin Blessing

Since Specialization

Citations

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

Fields of papers citing papers by Kerstin Blessing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kerstin Blessing

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