Kai Scholz

488 citations
9 papers · 361 · h-index 6

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Plant Physiology and Cultivation Studies 1
    • Immunotherapy and Immune Responses 2
    • T-cell and B-cell Immunology 1

Kai Scholz

9 papers receiving 350 citations

Peers

Kai Scholz
Comparison fields: 5 of 55
  • Hepatology 49
  • Immunology 113
  • Virology 24
  • Epidemiology 82
  • Plant Science 89
Replace Daniela Schulte with:
Daniela Schulte Germany
Mustapha Hajjou United States
Aiping Cao China
Κωνσταντίνα Κατσαρού Greece
Jing Shu Zhang China
Kuo‐Feng Weng Taiwan
Katherine J. Brempelis United States
Margot Carocci United States
Aroonroong Suttitheptumrong Thailand
Kai Scholz relative to Daniela Schulte Germany Daniela Schulte's profile →
Citations per field
00.5×1.5×
Daniela Schulte · 1×
Citations per year

Countries citing papers authored by Kai Scholz

Since Specialization
Citations

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

Fields of papers citing papers by Kai Scholz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Scholz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai Scholz Line = papers co-authored together Kai Scholz links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2005129
2 2000101
3 200957
4 201136
5
Influence of groundcover on the degradation of 14C-imidacloprid in soil
199227
6
Application of plant extracts for controlling fungal infestation of grains and seeds during storage.
19997
7
N-nutrition of apple, part 1: principles of N-supply.
20002
8 20231
9
Leichtathletik : Trainings- und Bewegungswissenschaft : Theorie und Praxis aller Disziplinen
20131

About Kai Scholz

Kai Scholz is a scholar working on Plant Science, Immunology, Molecular Biology, Virology and Pollution, having authored 9 papers that have together received 361 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (2 papers), Pesticide and Herbicide Environmental Studies (1 paper), Poxvirus research and outbreaks (1 paper), Plant Physiology and Cultivation Studies (1 paper), Plant Gene Expression Analysis (1 paper), Liver physiology and pathology (1 paper), T-cell and B-cell Immunology (1 paper) and Sports Science and Education (1 paper). The work is most often cited by research in Hepatology (49 citations), Immunology (113 citations), Virology (24 citations), Epidemiology (82 citations) and Plant Science (89 citations). Kai Scholz has collaborated with scholars based in Germany and New Zealand. Frequent co-authors include Bernd Weißhaar, Harald Kranz, Michael Spiteller, Beatrix Schumak, Percy A. Knolle, Dominik Djandji, Andreas Limmer, Martina Berg, Bernd Arnold and Gerhard Wingender. Their work appears in journals such as European Journal of Immunology, Journal of General Virology, Gastroenterology, The Plant Journal and Medical Entomology and Zoology.

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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