Nicholas Mancuso

6.2k citations
53 papers · 2.2k indexed · 2 hit papers · h-index 18
Topics
Genetic Associations and Epidemiology (27 papers)Genetic Mapping and Diversity in Plants and Animals (14 papers)Genetic and phenotypic traits in livestock (9 papers)

In The Last Decade

Nicholas Mancuso

51 papers receiving 2.2k citations

Hit Papers

Opportunities and challenges for transcriptome-wide assoc...201820262020202320192018100200300400500

Peers

Nicholas Mancuso
Comparison fields: 5 of 113
  • Genetics 1.3k
  • Molecular Biology 1.2k
  • Cancer Research 188
  • Immunology 115
  • Epidemiology 111
Replace Jeffrey G. Reid with:
Jeffrey G. Reid United States
Jimmy Z. Liu United States
Hyuna Yang United States
Lluı́s Armengol Spain
Ting Qi China
Eric J. Jaehnig United States
Anders Lade Nielsen Denmark
Tanya M. Teslovich United States
Catherine Ingle United Kingdom
Christian Fuchsberger Italy
Nicholas Mancuso relative to Jeffrey G. Reid United States Jeffrey G. Reid's profile →
Citations per field
00.5×1.5×
Jeffrey G. Reid · 1×
Citations per year

Countries citing papers authored by Nicholas Mancuso

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Mancuso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Mancuso

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Mancuso. A scholar is included among the top collaborators of Nicholas Mancuso 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 Nicholas Mancuso. Nicholas Mancuso 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
#WorkIndexed citations
1 1
2 2
3 3
4 6
5 1
6 1
7 4
8 19
9 31
10 6
11 41
12 18
13 14
14 4
15
Opportunities and challenges for transcriptome-wide association studiesbreakdown →
506
16 59
17 8
18 146
19
Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insightsbreakdown →
293
20 12

About Nicholas Mancuso

Nicholas Mancuso is a scholar working on Genetics, Developmental Biology and Molecular Biology, having authored 53 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (27 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Genetic and phenotypic traits in livestock (9 papers). The work is most often cited by research in Genetics (1.3k citations), Molecular Biology (1.2k citations) and Aging (31 citations). Nicholas Mancuso has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Bogdan Paşaniuc, Huwenbo Shi, Alexander Gusev, Gleb Kichaev, Malika Freund, Ruth Johnson, Thomas Quertermous, Johan Björkegren, Ke Hao and Manuel A. Rivas. Their work appears in journals such as Cell, Nature Communications and Nature 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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