Bijay Jassal

21.6k total citations · 1 hit paper
20 papers, 1.5k citations indexed

About

Bijay Jassal is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Bijay Jassal has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 3 papers in Pharmacology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Bijay Jassal's work include Bioinformatics and Genomic Networks (12 papers), Biomedical Text Mining and Ontologies (6 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Bijay Jassal is often cited by papers focused on Bioinformatics and Genomic Networks (12 papers), Biomedical Text Mining and Ontologies (6 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Bijay Jassal collaborates with scholars based in United Kingdom, United States and Canada. Bijay Jassal's co-authors include Lincoln Stein, Peter D’Eustachio, Lisa Matthews, Ewan Birney, Guanming Wu, Marc Gillespie, Imre Västrik, Bernard de Bono, David Croft and Suzanna Lewis and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Genome biology.

In The Last Decade

Bijay Jassal

17 papers receiving 1.4k citations

Hit Papers

Reactome knowledgebase of... 2008 2026 2014 2020 2008 200 400 600
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. Reactome knowledgebase of human biological pathways and processes
    2008 664 citations Lisa Matthews, Gopal Gopinath et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bijay Jassal United Kingdom 9 1.2k 210 157 136 83 20 1.5k
David Croft United Kingdom 9 1.3k 1.1× 218 1.0× 175 1.1× 148 1.1× 77 0.9× 15 1.6k
Joshi-Tope Geeta United States 4 1.2k 1.0× 196 0.9× 144 0.9× 117 0.9× 71 0.9× 4 1.4k
Marc Gillespie United States 13 1.3k 1.1× 202 1.0× 167 1.1× 144 1.1× 122 1.5× 25 1.6k
Andrew Winter United Kingdom 11 1.7k 1.4× 296 1.4× 179 1.1× 150 1.1× 78 0.9× 17 2.0k
Martijn van Iersel Netherlands 13 1.5k 1.2× 198 0.9× 160 1.0× 169 1.2× 102 1.2× 22 1.9k
Marta Iannuccelli Italy 12 1.2k 1.0× 308 1.5× 98 0.6× 99 0.7× 67 0.8× 20 1.4k
Janos X. Binder Germany 3 1.0k 0.8× 153 0.7× 164 1.0× 173 1.3× 51 0.6× 3 1.3k
Kalliopi Tsafou Denmark 10 876 0.7× 123 0.6× 117 0.7× 130 1.0× 68 0.8× 12 1.1k
Andra Waagmeester Netherlands 13 862 0.7× 153 0.7× 109 0.7× 140 1.0× 72 0.9× 30 1.2k
Robert Petryszak United Kingdom 9 973 0.8× 136 0.6× 133 0.8× 176 1.3× 85 1.0× 11 1.3k

Countries citing papers authored by Bijay Jassal

Since Specialization
Citations

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

Fields of papers citing papers by Bijay Jassal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bijay Jassal

This figure shows the co-authorship network connecting the top 25 collaborators of Bijay Jassal. A scholar is included among the top collaborators of Bijay Jassal 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 Bijay Jassal. Bijay Jassal 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.
Wright, A. Jordan, M Orlic-Milacic, Karen Rothfels, et al.. (2022). Evaluating the predictive accuracy of curated biological pathways in a public knowledgebase. Database. 2022. 4 indexed citations
2.
Sidiropoulos, Konstantinos, Guilherme Viteri, Cristoffer Sevilla, et al.. (2017). Reactome enhanced pathway visualization. Bioinformatics. 33(21). 3461–3467. 115 indexed citations
3.
Jassal, Bijay. (2014). Sialic acid metabolism. 48. 1 indexed citations
4.
Jupe, S, Bijay Jassal, Mark Williams, & Guanming Wu. (2014). A controlled vocabulary for pathway entities and events. Database. 2014(0). bau060–bau060. 9 indexed citations
5.
Jassal, Bijay. (2013). The phototransduction cascade. 45.
6.
Williams, Matthew L. & Bijay Jassal. (2012). Arachidonic acid metabolism. 43. 1 indexed citations
7.
Dall’Olio, Giovanni Marco, Bijay Jassal, Ludovica Montanucci, et al.. (2011). The annotation of the asparagine N-linked glycosylation pathway in the Reactome database. Glycobiology. 21(11). 1395–1400. 7 indexed citations
8.
Jassal, Bijay. (2011). Pathway annotation and analysis with Reactome: The solute carrier class of membrane transporters. Human Genomics. 5(4). 310–310. 2 indexed citations
9.
Jassal, Bijay, S Jupe, Michael Caudy, et al.. (2010). The systematic annotation of the three main GPCR families in Reactome. Database. 2010(0). baq018–baq018. 18 indexed citations
10.
Västrik, Imre, Peter D’Eustachio, Esther Schmidt, et al.. (2009). Reactome: a knowledge base of biologic pathways and processes. Genome Biology. 10(2). 402–402. 19 indexed citations
11.
Matthews, Lisa, Gopal Gopinath, Marc Gillespie, et al.. (2008). Reactome knowledgebase of human biological pathways and processes. Nucleic Acids Research. 37(Database). D619–D622. 664 indexed citations breakdown →
12.
Jassal, Bijay. (2008). Signaling by GPCR. 26.
13.
Bono, Bernard de, Imre Västrik, Peter D’Eustachio, et al.. (2007). Reactome: An integrated expert model of human molecular processes and access toolkit. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 4(3). 286–296. 2 indexed citations
14.
Västrik, Imre, Peter D’Eustachio, Esther Schmidt, et al.. (2007). Reactome: a knowledge base of biologic pathways and processes. Genome biology. 8(3). R39–R39. 453 indexed citations
15.
Jassal, Bijay & Peter D’Eustachio. (2007). Heme biosynthesis. 20. 1 indexed citations
16.
Matthews, Lisa, Peter D’Eustachio, David Croft, et al.. (2007). An Introduction to the Reactome Knowledgebase of Human Biological Pathways and Processes. 8 indexed citations
17.
Stein, Lincoln, Peter D’Eustachio, Marc Gillespie, et al.. (2006). REACTOME: A KNOWLEDGEBASE OF BIOLOGICAL PATHWAYS. 1 indexed citations
18.
Stein, Lincoln, Peter D’Eustachio, Marc Gillespie, et al.. (2006). REACTOME: A KNOWLEDGEBASE OF BIOLOGICAL PATHWAYS. 17–17. 129 indexed citations
19.
Geeta, Joshi-Tope, Imre Västrik, Gopal Gopinath, et al.. (2003). The Genome Knowledgebase: A Resource for Biologists and Bioinformaticists. Cold Spring Harbor Symposia on Quantitative Biology. 68(0). 237–244. 40 indexed citations
20.
Rice, Peter, Bijay Jassal, & Antoine de Daruvar. (2002). RIBDB: An SRS based infrastructure for REALIS. Comparative and Functional Genomics. 3(1). 35–36.

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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