Peter B. McGarvey

30.2k citations
48 papers · 4.0k indexed · 2 hit papers · h-index 20
Topics
Genomics and Phylogenetic Studies (10 papers)Biomedical Text Mining and Ontologies (10 papers)Bioinformatics and Genomic Networks (8 papers)

In The Last Decade

Peter B. McGarvey

45 papers receiving 3.9k citations

Hit Papers

UniRef clusters: a comprehensive and scalable alternat...2007202620132019201420072505007501000

Peers

Peter B. McGarvey
Comparison fields: 5 of 162
  • Molecular Biology 2.9k
  • Plant Science 448
  • Ecology 416
  • Genetics 339
  • Biotechnology 313
Replace Lukasz Jaroszewski with:
Lukasz Jaroszewski United States
Yuki Moriya Japan
Christian J A Sigrist Switzerland
Qingsong Lin Singapore
C. Geourjon France
Damiano Piovesan Italy
Peter Cimermančič United States
Alan Bridge Switzerland
Jeramie D. Watrous United States
Michel Schneider France
Peter B. McGarvey relative to Lukasz Jaroszewski United States Lukasz Jaroszewski's profile →
Citations per field
00.5×1.5×2.3×
Lukasz Jaroszewski · 1×
Citations per year

Countries citing papers authored by Peter B. McGarvey

Since Specialization
Citations

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

Fields of papers citing papers by Peter B. McGarvey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter B. McGarvey. 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 Peter B. McGarvey. The network helps show where Peter B. McGarvey may publish in the future.

Co-authorship network of co-authors of Peter B. McGarvey

This figure shows the co-authorship network connecting the top 25 collaborators of Peter B. McGarvey. A scholar is included among the top collaborators of Peter B. McGarvey 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 Peter B. McGarvey. Peter B. McGarvey 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 89
2 12
3 28
4 25
5
UD_GU_BioTM at TREC 2017: Precision Medicine Track.
2
6 17
7
UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searchesbreakdown →
1138
8 9
9 4
10 16
11 49
12 14
13 29
14 27
15 123
16 7
17 198
18 11
19 1
20 6

About Peter B. McGarvey

Peter B. McGarvey is a scholar working on Endocrinology, Biotechnology and Speech and Hearing, having authored 48 papers that have together received 4.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Biomedical Text Mining and Ontologies (10 papers) and Bioinformatics and Genomic Networks (8 papers). The work is most often cited by research in Molecular Biology (2.9k citations), Biotechnology (313 citations) and Endocrinology (89 citations). Peter B. McGarvey has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Barış Ethem Süzek, Cathy Wu, Hongzhan Huang, Yuqi Wang, Raja Mazumder, Subha Madhavan, María Martin, Séverine Duvaud, Nicole Redaschi and Isabelle Phan. Their work appears in journals such as Nucleic Acids Research, Nature Biotechnology and Bioinformatics.

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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