Robin Haw

26.6k total citations · 1 hit paper
27 papers, 1.5k citations indexed

About

Robin Haw is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Robin Haw has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 5 papers in Pharmacology and 2 papers in Oncology. Recurrent topics in Robin Haw's work include Bioinformatics and Genomic Networks (15 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Biomedical Text Mining and Ontologies (6 papers). Robin Haw is often cited by papers focused on Bioinformatics and Genomic Networks (15 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Biomedical Text Mining and Ontologies (6 papers). Robin Haw collaborates with scholars based in Canada, United States and United Kingdom. Robin Haw's co-authors include Lincoln Stein, Guanming Wu, Peter D’Eustachio, Henning Hermjakob, M Orlic-Milacic, Karen Rothfels, David Croft, Chika Sawa, Nira Datta and Stephen Buratowski and has published in prestigious journals such as Molecular Cell, Bioinformatics and PLoS ONE.

In The Last Decade

Robin Haw

27 papers receiving 1.5k citations

Hit Papers

JBrowse 2: a modular genome browser with views of synteny... 2023 2026 2024 2025 2023 40 80 120
What are hit papers?

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.

  1. JBrowse 2: a modular genome browser with views of synteny and structural variation
    2023 128 citations Colin Diesh, Garrett Stevens et al. Genome biology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robin Haw Canada 17 1.2k 194 111 101 89 27 1.5k
Carlos Alberto Vanegas Prieto Spain 20 865 0.7× 92 0.5× 106 1.0× 116 1.1× 68 0.8× 48 1.4k
Krishanpal Anamika India 14 879 0.7× 102 0.5× 117 1.1× 153 1.5× 60 0.7× 25 1.3k
José Manuel Rodrı́guez Spain 23 1.1k 1.0× 121 0.6× 194 1.7× 198 2.0× 100 1.1× 45 1.7k
G. Thomas Hayman United States 23 984 0.8× 209 1.1× 293 2.6× 87 0.9× 96 1.1× 53 1.4k
Scott W Doniger United States 10 1.1k 1.0× 128 0.7× 306 2.8× 122 1.2× 87 1.0× 11 1.6k
Daniel H. Lackner United Kingdom 16 1.7k 1.5× 129 0.7× 143 1.3× 64 0.6× 220 2.5× 20 1.9k
Gordon Vansant United States 12 618 0.5× 139 0.7× 140 1.3× 108 1.1× 95 1.1× 21 1.1k
Frida Belinky United States 15 838 0.7× 97 0.5× 212 1.9× 144 1.4× 45 0.5× 20 1.2k
Andrey Alexeyenko Sweden 20 912 0.8× 116 0.6× 154 1.4× 180 1.8× 74 0.8× 42 1.4k
Sipko van Dam Netherlands 9 736 0.6× 83 0.4× 125 1.1× 119 1.2× 119 1.3× 17 1.0k

Countries citing papers authored by Robin Haw

Since Specialization
Citations

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

Fields of papers citing papers by Robin Haw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robin Haw

This figure shows the co-authorship network connecting the top 25 collaborators of Robin Haw. A scholar is included among the top collaborators of Robin Haw 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 Robin Haw. Robin Haw 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
1.
Diesh, Colin, Garrett Stevens, Peter Xie, et al.. (2023). JBrowse 2: a modular genome browser with views of synteny and structural variation. Genome biology. 24(1). 74–74. 128 indexed citations breakdown →
2.
Martinez, Teresa De Jesus, Elliot A. Hershberg, Garrett Stevens, et al.. (2023). JBrowse Jupyter: a Python interface to JBrowse 2. Bioinformatics. 39(1). 4 indexed citations
3.
Beavers, Deidre, Timothy Brunson, Nasim Sanati, et al.. (2023). Illuminate the Functions of Dark Proteins Using the Reactome‐IDG Web Portal. Current Protocols. 3(7). e845–e845. 1 indexed citations
4.
Viteri, Guilherme, Lisa Matthews, Thawfeek Varusai, et al.. (2019). Reactome and ORCID—fine-grained credit attribution for community curation. Database. 2019. 9 indexed citations
5.
Wu, Guanming & Robin Haw. (2017). Functional Interaction Network Construction and Analysis for Disease Discovery. Methods in molecular biology. 1558. 235–253. 83 indexed citations
6.
Sidiropoulos, Konstantinos, Guilherme Viteri, Cristoffer Sevilla, et al.. (2017). Reactome enhanced pathway visualization. Bioinformatics. 33(21). 3461–3467. 115 indexed citations
7.
Bohler, Anwesha, Guanming Wu, Martina Kutmon, et al.. (2016). Reactome from a WikiPathways Perspective. PLoS Computational Biology. 12(5). e1004941–e1004941. 24 indexed citations
8.
Mi, Huaiyu, Falk Schreiber, Stuart Moodie, et al.. (2015). Systems Biology Graphical Notation: Activity Flow language Level 1 Version 1.2. PubMed. 12(2). 265–265. 19 indexed citations
9.
Mi, Huaiyu, Falk Schreiber, Stuart Moodie, et al.. (2015). Systems Biology Graphical Notation: Activity Flow language Level 1 Version 1.2. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 12(2). 340–381. 25 indexed citations
10.
Sorokin, Anatoly, Nicolas Le Novère, Augustin Luna, et al.. (2015). Systems Biology Graphical Notation: Entity Relationship language Level 1 Version 2. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 12(2). 281–339. 13 indexed citations
11.
Backman, Stéphanie, Alexandra Kollara, Robin Haw, Lincoln Stein, & Theodore Brown. (2014). Glucocorticoid-Induced Reversal of Interleukin-1β-Stimulated Inflammatory Gene Expression in Human Oviductal Cells. PLoS ONE. 9(5). e97997–e97997. 8 indexed citations
12.
Haw, Robin & Lincoln Stein. (2012). Using the Reactome Database. Current Protocols in Bioinformatics. 38(1). 26 indexed citations
13.
Haw, Robin, David Croft, Christina K. Yung, et al.. (2011). The Reactome BioMart. Database. 2011(0). bar031–bar031. 27 indexed citations
14.
Haw, Robin, Henning Hermjakob, Peter D’Eustachio, & Lincoln Stein. (2011). Reactome pathway analysis to enrich biological discovery in proteomics data sets. PROTEOMICS. 11(18). 3598–3613. 89 indexed citations
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Krogan, Nevan J., Michael‐Christopher Keogh, Nira Datta, et al.. (2003). A Snf2 Family ATPase Complex Required for Recruitment of the Histone H2A Variant Htz1. Molecular Cell. 12(6). 1565–1576. 471 indexed citations
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Loughran, Öonagh, Louise Clark, Jacquelyn Bond, et al.. (1997). Evidence for the inactivation of multiple replicative lifespan genes in immortal human squamous cell carcinoma keratinocytes. Oncogene. 14(16). 1955–1964. 65 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.

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