Jukka Corander

326 papers receiving 18.4k citations

Jukka Corander's Hit Papers

The Lancet One Health Commission: harnessing our interconnectedness for equitable, sustainable, and healthy socioecological systems 2025 · 56 citations
560+7+15Years since publication250500750

Peers

Jukka Corander
Comparison fields: 5 of 164
  • Molecular Medicine 1.6k
  • Endocrinology 642
  • Genetics 3.6k
  • Infectious Diseases 1.5k
  • Gastroenterology 372
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Thomas Sicheritz‐Pontén Denmark
Mihai Pop United States
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Michael Inouye Australia
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Citations per year

Countries citing papers authored by Jukka Corander

Since Specialization
Citations

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

Fields of papers citing papers by Jukka Corander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jukka Corander, 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 Jukka Corander Line = papers co-authored together Jukka Corander links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 337 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Fecal Microbiota of Irritable Bowel Syndrome Patients Differs Significantly From That of Healthy Subjects
Hit paper breakdown →
2007836
2
Producing polished prokaryotic pangenomes with the Panaroo pipeline
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2020809
3
Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations
Hit paper breakdown →
2008735
4
Bayesian Analysis of Genetic Differentiation Between Populations
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2003725
5
Bayesian identification of admixture events using multilocus molecular markers
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2006567
6
Hierarchical and Spatially Explicit Clustering of DNA Sequences with BAPS Software
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2013492
7 2013441
8 2004413
9
Evolution and transmission of drug-resistant tuberculosis in a Russian population
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2014405
10 2013365
11 2007363
12 2007330
13 2016299
14 2014296
15 2015243
16 2019235
17 2006215
18 2018213
19 2018209
20 2014191

About Jukka Corander

Jukka Corander is a scholar working on Molecular Medicine, Statistics and Probability, Endocrinology, Genetics and Artificial Intelligence, having authored 337 papers that have together received 18.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (28 papers), Markov Chains and Monte Carlo Methods (25 papers), Antibiotic Resistance in Bacteria (24 papers), Bayesian Modeling and Causal Inference (21 papers), Genetic diversity and population structure (17 papers), Salmonella and Campylobacter epidemiology (12 papers), Pneumonia and Respiratory Infections (11 papers) and Antimicrobial Resistance in Staphylococcus (11 papers). The work is most often cited by research in Molecular Medicine (1.6k citations), Endocrinology (642 citations), Genetics (3.6k citations), Infectious Diseases (1.5k citations) and Gastroenterology (372 citations). Jukka Corander has collaborated with scholars based in Finland, United Kingdom and Norway. Frequent co-authors include Pekka Marttinen, Jukka Sirén, Mikko J. Sillanpää, Jing Ping Tang, Patrik Waldmann, Stephen D. Bentley, John A. Lees, Julian Parkhill, Thomas R. Connor and William Paul Hanage. Their work appears in journals such as Microbial Genomics, Nature Communications, mBio, The Lancet Microbe and Bayesian Analysis.

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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