Gernot T. John

1.4k citations
39 papers · 1.0k indexed · h-index 17
Topics
Viral Infectious Diseases and Gene Expression in Insects (21 papers)Innovative Microfluidic and Catalytic Techniques Innovation (10 papers)Analytical Chemistry and Sensors (8 papers)

In The Last Decade

Gernot T. John

38 papers receiving 999 citations

Peers

Gernot T. John
Comparison fields: 5 of 92
  • Molecular Biology 651
  • Biomedical Engineering 549
  • Bioengineering 201
  • Electrical and Electronic Engineering 101
  • Biotechnology 54
Replace Paolo Boccazzi with:
Paolo Boccazzi United States
Antonio R. Moreira United States
Frank Kensy Germany
G. Kretzmer Germany
Dane W. Zabriskie United States
Martin Rhiel Switzerland
Limei Yin China
D. I. C. Wang United States
Zhiwei Chen China
Gernot T. John relative to Paolo Boccazzi United States Paolo Boccazzi's profile →
Citations per field
00.5×1.7×
Paolo Boccazzi · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 8
4 2
5 13
6 40
7
Where does the oxygen go? : kLa measurement in bioreactors
1
8 30
9 20
10 62
11 29
12 66
13 79
14 155
15 65
16 52
17 61
18 2
19 6
20 5

About Gernot T. John

Gernot T. John is a scholar working on Bioengineering, Biotechnology and Biomedical Engineering, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (21 papers), Innovative Microfluidic and Catalytic Techniques Innovation (10 papers) and Analytical Chemistry and Sensors (8 papers). The work is most often cited by research in Bioengineering (201 citations), Biomedical Engineering (549 citations) and Molecular Biology (651 citations). Gernot T. John has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Elmar Heinzle, Ingo Klimant, Christoph Wittmann, Robert Puskeiler, Dirk Weuster‐Botz, Harrison Kim, Christian Krause, Jochen Büchs, Christian Ude and Sarina Arain. Their work appears in journals such as Sensors, Chemical Engineering Science and Sensors and Actuators B Chemical.

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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