Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Clustal W and Clustal X version 2.0
200723.8k citationsGordon Blackshields, Nigel P. Brown et al.Bioinformaticsprofile →
Fast, scalable generation of high‐quality protein multiple sequence alignments using Clustal Omega
201111.2k citationsFabian Sievers, Andreas Wilm et al.Molecular Systems Biologyprofile →
InterProScan 5: genome-scale protein function classification
20145.8k citationsPhilip Jones, David Binns et al.Bioinformaticsprofile →
A new bioinformatics analysis tools framework at EMBL-EBI
20101.4k citationsM. Goujon, Hamish McWilliam et al.Nucleic Acids Researchprofile →
Analysis Tool Web Services from the EMBL-EBI
20131.3k citationsHamish McWilliam, Weizhong Li et al.Nucleic Acids Researchprofile →
The EMBL-EBI bioinformatics web and programmatic tools framework
2015791 citationsWeizhong Li, Mahmut Uludağ et al.Nucleic Acids Researchprofile →
The IMGT/HLA database
2008570 citationsJames Robinson, Matthew Waller et al.Nucleic Acids Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Hamish McWilliam
Since
Specialization
Citations
This map shows the geographic impact of Hamish McWilliam'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 Hamish McWilliam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamish McWilliam more than expected).
Fields of papers citing papers by Hamish McWilliam
This network shows the impact of papers produced by Hamish McWilliam. 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 Hamish McWilliam. The network helps show where Hamish McWilliam may publish in the future.
Co-authorship network of co-authors of Hamish McWilliam
This figure shows the co-authorship network connecting the top 25 collaborators of Hamish McWilliam.
A scholar is included among the top collaborators of Hamish McWilliam 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 Hamish McWilliam. Hamish McWilliam is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
McWilliam, Hamish, Weizhong Li, Mahmut Uludağ, et al.. (2013). Analysis Tool Web Services from the EMBL-EBI. Nucleic Acids Research. 41(W1). W597–W600.1304 indexed citations breakdown →
Robinson, James, Jason A. Halliwell, Hamish McWilliam, et al.. (2012). The IMGT/HLA database. Nucleic Acids Research. 41(D1). D1222–D1227.443 indexed citations
Sievers, Fabian, Andreas Wilm, Toby J. Gibson, et al.. (2011). Fast, scalable generation of high‐quality protein multiple sequence alignments using Clustal Omega. Molecular Systems Biology. 7(1). 539–539.11202 indexed citations breakdown →
11.
Goujon, M., Hamish McWilliam, Weizhong Li, et al.. (2010). A new bioinformatics analysis tools framework at EMBL-EBI. Nucleic Acids Research. 38(Web Server). W695–W699.1429 indexed citations breakdown →
Robinson, James, Matthew Waller, Hamish McWilliam, et al.. (2008). The IMGT/HLA database. Nucleic Acids Research. 37(Database). D1013–D1017.570 indexed citations breakdown →
18.
Blackshields, Gordon, Nigel P. Brown, Chenna Ramu, et al.. (2007). Clustal W and Clustal X version 2.0. Bioinformatics. 23(21). 2947–2948.23845 indexed citations breakdown →
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.