Chris Finan

10.4k citations
48 papers · 2.1k · 3 hit papers · h-index 19

Impact in

  • Genetics top 5%
    • Genetic Associations and Epidemiology
    • Bioinformatics and Genomic Networks
    • Microbial Metabolic Engineering and Bioproduction

Papers in

    • Bioinformatics and Genomic Networks 6
    • Microbial Metabolic Engineering and Bioproduction 5
    • Genetic Associations and Epidemiology 18
    • Genomics and Rare Diseases 4

Chris Finan

43 papers receiving 2.1k citations

Chris Finan's Hit Papers

Genetic drug target validation using Mendelian randomisation 2020 · 267 citations
2670+3+6Years since publication100200300400

Peers

Chris Finan
Comparison fields: 5 of 184
  • Genetics 521
  • Molecular Biology 709
  • Physiology 233
  • Computational Theory and Mathematics 138
  • Infectious Diseases 143
Replace Peter A. Kanetsky with:
Peter A. Kanetsky United States
Degui Zhi United States
Collet Dandara South Africa
Xu Liu China
David W. Anderson United States
Ambroise Wonkam South Africa
Paul Lacaze Australia
Jennifer Couzin-Frankel
Jonathan Kimmelman Canada
Chris Finan relative to Peter A. Kanetsky United States Peter A. Kanetsky's profile →
Citations per field
00.5×
Peter A. Kanetsky · 1×
Citations per year

Countries citing papers authored by Chris Finan

Since Specialization
Citations

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

Fields of papers citing papers by Chris Finan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The druggable genome and support for target identification and validation in drug development
Hit paper breakdown →
2017494
2
Linear regression and the normality assumption
Hit paper breakdown →
2017399
3
Genetic drug target validation using Mendelian randomisation
Hit paper breakdown →
2020267
4 2019129
5 2012112
6 201993
7 201979
8 202069
9 201246
10 201046
11 201145
12 202338
13 201434
14 201532
15 200829
16 202023
17 202120
18 202420
19 202119
20 202217

About Chris Finan

Chris Finan is a scholar working on Molecular Biology, Genetics, Surgery, Cardiology and Cardiovascular Medicine and Immunology, having authored 48 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (18 papers), Lipoproteins and Cardiovascular Health (8 papers), Bioinformatics and Genomic Networks (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Computational Drug Discovery Methods (4 papers), Biofuel production and bioconversion (4 papers), Genomics and Rare Diseases (4 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Genetics (521 citations), Molecular Biology (709 citations), Physiology (233 citations), Computational Theory and Mathematics (138 citations) and Infectious Diseases (143 citations). Chris Finan has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Amand F. Schmidt, Aroon D. Hingorani, Juan P. Casas, Anna Gaulton, John P. Overington, Felix Krüger, Melanie J. Newport, Jorgen Engmann, Rita Santos and Anneli Karlsson. Their work appears in journals such as Nature Communications, PLoS ONE, Journal of Industrial Microbiology & Biotechnology, Scientific Reports and EBioMedicine.

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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