Jon P. Krohn

1.2k citations
8 papers · 243 indexed · h-index 6
Topics
Genetic Mapping and Diversity in Plants and Animals (4 papers)Genetic and phenotypic traits in livestock (3 papers)Gene expression and cancer classification (2 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEPLoS Genetics

In The Last Decade

Jon P. Krohn

8 papers receiving 243 citations

Peers

Jon P. Krohn
Comparison fields: 5 of 100
  • Molecular Biology 99
  • Genetics 79
  • Cognitive Neuroscience 31
  • Physiology 22
  • Pharmacology 21
Replace Ryuichi Kimura with:
Ryuichi Kimura Japan
R. Doyle United States
Larissa Fonseca da Cunha Sousa Brazil
Shijia Liu China
Yong Lu China
Salih Coşkun Türkiye
Sanjeev Khatiwada United States
Bruno G. Berardino Argentina
Natalia M. Gonzales United States
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Citations per field
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Citations per year

Countries citing papers authored by Jon P. Krohn

Since Specialization
Citations

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

Fields of papers citing papers by Jon P. Krohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon P. Krohn. 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 Jon P. Krohn. The network helps show where Jon P. Krohn may publish in the future.

Co-authorship network of co-authors of Jon P. Krohn

This figure shows the co-authorship network connecting the top 25 collaborators of Jon P. Krohn. A scholar is included among the top collaborators of Jon P. Krohn 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 Jon P. Krohn. Jon P. Krohn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1
Deep learning illustrated : a visual, interactive guide to artificial intelligence
19
2 57
3 9
4
Inference of Causal Relationships between Biomarkers and Outcomes in High Dimensions
5
5 89
6 2
7
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies
5
8 57

About Jon P. Krohn

Jon P. Krohn is a scholar working on Genetics, Biochemistry and Pharmacology, having authored 8 papers that have together received 243 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Aging (5 citations), Genetics (79 citations) and Behavioral Neuroscience (10 citations). Jon P. Krohn has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Shoumo Bhattacharya, Benjamin Davies, C.M. Chen, Cheryl L. Limebeer, Shelley K. Cross-Mellor, Linda A. Parker, Klaus‐Peter Ossenkopp, Jesse Ingels, Andrés Legarra and Robert W. Williams. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLoS Genetics.

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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