Suzanne M. Leal

30.3k total citations · 5 hit papers
211 papers, 10.8k citations indexed

About

Suzanne M. Leal is a scholar working on Molecular Biology, Genetics and Sensory Systems. According to data from OpenAlex, Suzanne M. Leal has authored 211 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Molecular Biology, 94 papers in Genetics and 57 papers in Sensory Systems. Recurrent topics in Suzanne M. Leal's work include Hearing, Cochlea, Tinnitus, Genetics (56 papers), Genetic Associations and Epidemiology (48 papers) and Genomics and Rare Diseases (26 papers). Suzanne M. Leal is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (56 papers), Genetic Associations and Epidemiology (48 papers) and Genomics and Rare Diseases (26 papers). Suzanne M. Leal collaborates with scholars based in United States, Pakistan and South Africa. Suzanne M. Leal's co-authors include Bingshan Li, Evan E. Eichler, Augustine Kong, Greg Gibson, Jason H. Moore, Jonathan Flint, Joseph H. Nadeau, Dajiang J. Liu, Jürg Ott and Deborah A. Nickerson and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Suzanne M. Leal

205 papers receiving 10.6k citations

Hit Papers

Missing heritability and strategies for finding t... 1998 2026 2007 2016 2010 2008 1998 2012 2015 250 500 750 1000

Peers

Suzanne M. Leal
Comparison fields: 5 of 163
  • Molecular Biology 5.0k
  • Genetics 4.7k
  • Cellular and Molecular Neuroscience 833
  • Pulmonary and Respiratory Medicine 825
  • Cancer Research 808
Replace Peter Nürnberg with:
Peter Nürnberg Germany
Tim M. Strom Germany
Patrick J. Willems Belgium
Gregory M. Cooper United States
Hiroshi Kiyonari Japan
Niklas Dahl Sweden
G.M. Lathrop United States
Nicholas Katsanis United States
C. Geoffrey Woods United Kingdom
Thomas Meitinger Germany
Peter Nürnberg Germany View profile →
Citations per field, relative to Suzanne M. Leal
Suzanne M. Leal · 1×
Citations per year, relative to Suzanne M. Leal
Suzanne M. Leal · 1×

Countries citing papers authored by Suzanne M. Leal

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne M. Leal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne M. Leal. 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 Suzanne M. Leal. The network helps show where Suzanne M. Leal may publish in the future.

Co-authorship network of co-authors of Suzanne M. Leal

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 0
5 3
6 2
7 1
8 1
9 27
10 9
11 50
12 101
13 156
14
Methods for Detecting Associations with Rare Variants for Common Diseases: Application to Analysis of Sequence Data breakdown →
1060
15 200
16 6
17 19
18 99
19 63
20 5

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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