Jon P. Krohn

1.2k total citations
8 papers, 243 citations indexed

About

Jon P. Krohn is a scholar working on Genetics, Molecular Biology and Pharmacology. According to data from OpenAlex, Jon P. Krohn has authored 8 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Molecular Biology and 1 paper in Pharmacology. Recurrent topics in Jon P. Krohn's 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). Jon P. Krohn is often cited by papers focused on 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). Jon P. Krohn collaborates with scholars based in United Kingdom, United States and France. Jon P. Krohn's co-authors include C.M. Chen, Benjamin Davies, Shoumo Bhattacharya, Cheryl L. Limebeer, Klaus‐Peter Ossenkopp, Linda A. Parker, Shelley K. Cross-Mellor, Oliver Stegle, Megan K. Mulligan and Jacques Callebert and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLoS Genetics.

In The Last Decade

Jon P. Krohn

8 papers receiving 243 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jon P. Krohn United Kingdom	6	99	79	31	22	21	8	243
Apurva S. Chitre United States	9	131 1.3×	49 0.6×	21 0.7×	39 1.8×	11 0.5×	21	247
Sonia De Zutter Belgium	10	118 1.2×	120 1.5×	31 1.0×	12 0.5×	14 0.7×	12	326
Jennifer L. Hamilton United States	8	64 0.6×	29 0.4×	15 0.5×	37 1.7×	35 1.7×	28	331
Maarten Van Den Bossche Belgium	11	160 1.6×	146 1.8×	83 2.7×	34 1.5×	24 1.1×	33	470
Tess Levy United States	10	137 1.4×	156 2.0×	93 3.0×	45 2.0×	15 0.7×	23	293
Sepideh N. Bajestan United States	8	69 0.7×	32 0.4×	19 0.6×	38 1.7×	12 0.6×	12	325
Natalia M. Gonzales United States	7	118 1.2×	126 1.6×	51 1.6×	36 1.6×	8 0.4×	10	320
Jingjing Sun China	7	93 0.9×	75 0.9×	84 2.7×	10 0.5×	9 0.4×	16	286
Nagesh Aragam United States	12	184 1.9×	214 2.7×	52 1.7×	25 1.1×	18 0.9×	13	483

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

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8 of 8 papers shown

Krohn, Jon P., et al.. (2020). Deep learning illustrated : a visual, interactive guide to artificial intelligence. CERN Document Server (European Organization for Nuclear Research). 19 indexed citations

Baud, Amelie, Megan K. Mulligan, Francesco Paolo Casale, et al.. (2017). Genetic Variation in the Social Environment Contributes to Health and Disease. PLoS Genetics. 13(1). e1006498–e1006498. 57 indexed citations

Krohn, Jon P., Doug Speed, Rupert Palme, et al.. (2014). Genetic Interactions with Sex Make a Relatively Small Contribution to the Heritability of Complex Traits in Mice. PLoS ONE. 9(5). e96450–e96450. 9 indexed citations

Agakov, Felix, Paul McKeigue, Jon P. Krohn, & Jonathan Flint. (2011). Inference of Causal Relationships between Biomarkers and Outcomes in High Dimensions. SHILAP Revista de lepidopterología. 5 indexed citations

Agakov, Felix, Jon P. Krohn, Monica Colombo, & Paul McKeigue. (2011). O1-2.2 Sparse instrumental variables: an integrative approach to biomarker validation. Journal of Epidemiology & Community Health. 65(Suppl 1). A10.2–A10. 2 indexed citations

Chen, C.M., Jon P. Krohn, Shoumo Bhattacharya, & Benjamin Davies. (2011). A Comparison of Exogenous Promoter Activity at the ROSA26 Locus Using a PhiC31 Integrase Mediated Cassette Exchange Approach in Mouse ES Cells. PLoS ONE. 6(8). e23376–e23376. 89 indexed citations

McKeigue, Paul, Jon P. Krohn, Amos Storkey, & Felix Agakov. (2010). Sparse Instrumental Variables (SPIV) for Genome-Wide Studies. Neural Information Processing Systems. 23. 28–36. 5 indexed citations

Limebeer, Cheryl L., et al.. (2007). Exposure to a context previously associated with nausea elicits conditioned gaping in rats: A model of anticipatory nausea. Behavioural Brain Research. 187(1). 33–40. 57 indexed citations

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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