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.
Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration
20125.9k citationsHelga Thorvaldsdóttir, James Robinson et al.profile →
A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping
Countries citing papers authored by James Robinson
Since
Specialization
Citations
This map shows the geographic impact of James Robinson'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 James Robinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Robinson more than expected).
This network shows the impact of papers produced by James Robinson. 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 James Robinson. The network helps show where James Robinson may publish in the future.
Co-authorship network of co-authors of James Robinson
This figure shows the co-authorship network connecting the top 25 collaborators of James Robinson.
A scholar is included among the top collaborators of James Robinson 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 James Robinson. James Robinson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Robinson, James, Dominic J. Barker, & Steven G. E. Marsh. (2024). 25 years of the IPD‐IMGT/HLA Database. HLA. 103(6). e15549–e15549.154 indexed citations breakdown →
Robinson, James, Helga Thorvaldsdóttir, Aaron M. Wenger, Ahmet Zehir, & Jill P. Mesirov. (2017). Variant Review with the Integrative Genomics Viewer. Cancer Research. 77(21). e31–e34.674 indexed citations breakdown →
13.
Mayor, Neema P., et al.. (2016). A MULTIPLEXED TYPING STRATEGY FOR THE HLA CLASS II GENES HLA-DRB1,-DQB1 AND-DPB1 USING DNA BARCODES AND SMRT (R) DNA SEQUENCING. UCL Discovery (University College London).2 indexed citations
Schneider, Joel, Michael Heuer, Abeer Madbouly, et al.. (2012). TOOLS FOR IMPLEMENTATION OF SILVER STANDARD PRINCIPLES FOR HLA TYPING. UCL Discovery (University College London).1 indexed citations
17.
Robinson, James, Chrissy h. Roberts, I. Anthony Dodi, et al.. (2009). The European searchable tumour line database. Cancer Immunology Immunotherapy. 58(9). 1501–1506.11 indexed citations
18.
Robinson, James, et al.. (2003). IMGT/HLA and IMGT/MHC – sequence databases for the study of the major histocompatibility complex.. UCL Discovery (University College London).3 indexed citations
19.
García‐Sepúlveda, Christian A., James Robinson, J. Alejandro Madrigal, & Steven G. E. Marsh. (2003). Natural Killer Cell Receptors: Functional Roles. 22(2). 190–202.1 indexed citations
20.
Robinson, James. (1968). The nature of science and science teaching. Andalas University Repository (Andalas University).46 indexed citations
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.