Gernot T. John

71 total papers · 1.4k total citations
39 papers, 1.0k citations indexed

About

Gernot T. John is a scholar working on Biomedical Engineering, Molecular Biology and Bioengineering. According to data from OpenAlex, Gernot T. John has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 27 papers in Molecular Biology and 8 papers in Bioengineering. Recurrent topics in Gernot T. John's work include Viral Infectious Diseases and Gene Expression in Insects (21 papers), Innovative Microfluidic and Catalytic Techniques Innovation (10 papers) and Microfluidic and Capillary Electrophoresis Applications (8 papers). Gernot T. John is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (21 papers), Innovative Microfluidic and Catalytic Techniques Innovation (10 papers) and Microfluidic and Capillary Electrophoresis Applications (8 papers). Gernot T. John collaborates with scholars based in Germany, Switzerland and Austria. Gernot T. John's co-authors include Elmar Heinzle, Ingo Klimant, Christoph Wittmann, Robert Puskeiler, Dirk Weuster‐Botz, Harrison Kim, Christian Krause, Sascha Beutel, Jochen Büchs and Frank Kensy and has published in prestigious journals such as Sensors, Chemical Engineering Science and Sensors and Actuators B Chemical.

In The Last Decade

Gernot T. John

38 papers receiving 997 citations

Author Peers

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

Author						Papers	Cites
Gernot T. John	649	549	201	101	54	39	1.0k
Dörte Solle	496 0.8×	249 0.5×	59 0.3×	58 0.6×	29 0.5×	50	852
Antonio R. Moreira	495 0.8×	367 0.7×	81 0.4×	66 0.7×	195 3.6×	27	805
Lanhua Liu	539 0.8×	409 0.7×	88 0.4×	388 3.8×	26 0.5×	47	1.2k
Frank Kensy	840 1.3×	546 1.0×	43 0.2×	40 0.4×	86 1.6×	26	1.0k
Vinay J. Nagaraj	385 0.6×	267 0.5×	54 0.3×	119 1.2×	32 0.6×	22	873
Jinyeong Kim	328 0.5×	452 0.8×	57 0.3×	225 2.2×	26 0.5×	61	888
Juankun Zhang	473 0.7×	272 0.5×	75 0.4×	240 2.4×	19 0.4×	39	949
Rongrong Pan	453 0.7×	296 0.5×	119 0.6×	190 1.9×	6 0.1×	53	918
Pengwei Chen	341 0.5×	289 0.5×	34 0.2×	167 1.7×	31 0.6×	56	928
Aleš Prokop	344 0.5×	424 0.8×	78 0.4×	119 1.2×	23 0.4×	49	1.2k

Countries citing papers authored by Gernot T. John

Since Specialization

Citations

This map shows the geographic impact of Gernot T. John'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 Gernot T. John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gernot T. John more than expected).

Fields of papers citing papers by Gernot T. John

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gernot T. John. 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 Gernot T. John. The network helps show where Gernot T. John may publish in the future.

Co-authorship network of co-authors of Gernot T. John

This figure shows the co-authorship network connecting the top 25 collaborators of Gernot T. John. A scholar is included among the top collaborators of Gernot T. John 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 Gernot T. John. Gernot T. John 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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