Joel Weiser

17.8k total citations
5 papers, 57 citations indexed

About

Joel Weiser is a scholar working on Molecular Biology, Pharmacology and Spectroscopy. According to data from OpenAlex, Joel Weiser has authored 5 papers receiving a total of 57 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Pharmacology and 1 paper in Spectroscopy. Recurrent topics in Joel Weiser's work include Bioinformatics and Genomic Networks (4 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Plant Gene Expression Analysis (1 paper). Joel Weiser is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Plant Gene Expression Analysis (1 paper). Joel Weiser collaborates with scholars based in Canada, United Kingdom and United States. Joel Weiser's co-authors include Lincoln Stein, Peter D’Eustachio, Vindhya Amarasinghe, Justin Preece, Justin Elser, Doreen Ware, Pankaj Jaiswal, Guanming Wu, Maria Keays and Robert Petryszak and has published in prestigious journals such as Nucleic Acids Research, Database and Current Protocols in Bioinformatics.

In The Last Decade

Joel Weiser

5 papers receiving 53 citations

Peers

Countries citing papers authored by Joel Weiser

Since Specialization

Citations

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

Fields of papers citing papers by Joel Weiser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joel Weiser

This figure shows the co-authorship network connecting the top 25 collaborators of Joel Weiser. A scholar is included among the top collaborators of Joel Weiser 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 Joel Weiser. Joel Weiser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

#	Work	Indexed citations
1	Evaluating the predictive accuracy of curated biological pathways in a public knowledgebase 2022 ·Database ·A. Jordan Wright, M Orlic-Milacic, Karen Rothfels, Joel Weiser, Quang M. Trinh, Bijay Jassal, Robin Haw, Lincoln Stein	4
2	R interface to the reactome graph database 2021 ·Faculty of 1000 Research Ltd ·(unknown), Justin Cook, Solomon I. Shorser, Joel Weiser, Robin Haw, Lincoln Stein	2
3	Reactome and ORCID—fine-grained credit attribution for community curation 2019 ·Database ·Guilherme Viteri, Lisa Matthews, Thawfeek Varusai, Marc Gillespie, M Orlic-Milacic, Justin Cook, Joel Weiser, Solomon I. Shorser, Konstantinos Sidiropoulos, Antonio Fabregat, Robin Haw, Guanming Wu, Lincoln Stein, Peter D’Eustachio, Henning Hermjakob	9
4	Plant Reactome: a resource for plant pathways and comparative analysis 2016 ·Nucleic Acids Research ·Sushma Naithani, Justin Preece, Peter D’Eustachio, Parul Gupta, Vindhya Amarasinghe, Palitha Dharmawardhana, Guanming Wu, Antonio Fabregat, Justin Elser, Joel Weiser, Maria Keays, Alfonso Muñoz-Pomer Fuentes, Robert Petryszak, Lincoln Stein, Doreen Ware, Pankaj Jaiswal	41
5	Installing a Local Copy of the Reactome Web Site and Knowledgebase 2015 ·Current Protocols in Bioinformatics ·Sheldon McKay, Joel Weiser	1

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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