Wayne Law

16 total papers · 563 total citations
11 papers, 260 citations indexed

About

Wayne Law is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Wayne Law has authored 11 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 4 papers in Molecular Biology and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Wayne Law's work include Biomedical Text Mining and Ontologies (3 papers), Ethnobotanical and Medicinal Plants Studies (3 papers) and Rangeland Management and Livestock Ecology (2 papers). Wayne Law is often cited by papers focused on Biomedical Text Mining and Ontologies (3 papers), Ethnobotanical and Medicinal Plants Studies (3 papers) and Rangeland Management and Livestock Ecology (2 papers). Wayne Law collaborates with scholars based in United States, Brazil and Denmark. Wayne Law's co-authors include Jan Salick, Anja Byg, Tiffany M. Knight, Anthony S. Amend, Bee F. Gunn, Michael J. Balick, Scott A. Mori, Nathan P. Smith, Stephen Redenti and Linda Saxe Einbond and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biodiversity and Conservation and Phytomedicine.

In The Last Decade

Wayne Law

9 papers receiving 246 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Wayne Law	98	85	82	48	40	11	260
Martí March‐Salas	77 0.8×	100 1.2×	123 1.5×	44 0.9×	59 1.5×	24	272
Henning Adsersen	124 1.3×	112 1.3×	62 0.8×	34 0.7×	69 1.7×	17	283
Rajasri Ray	112 1.1×	47 0.6×	40 0.5×	39 0.8×	32 0.8×	13	240
J. R. Press	172 1.8×	123 1.4×	69 0.8×	28 0.6×	29 0.7×	8	317
Jean‐Philippe Bizoux	101 1.0×	122 1.4×	131 1.6×	29 0.6×	52 1.3×	15	312
Hum Kala Rana	76 0.8×	129 1.5×	96 1.2×	146 3.0×	31 0.8×	17	308
Norbert Maczey	116 1.2×	103 1.2×	96 1.2×	24 0.5×	68 1.7×	16	276
Lize von Staden	112 1.1×	103 1.2×	100 1.2×	62 1.3×	47 1.2×	17	281
Ian Ondo	139 1.4×	148 1.7×	81 1.0×	61 1.3×	41 1.0×	12	329
Tsurng‐Juhn Huang	33 0.3×	40 0.5×	75 0.9×	72 1.5×	29 0.7×	11	189

Countries citing papers authored by Wayne Law

Since Specialization

Citations

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

Fields of papers citing papers by Wayne Law

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne Law

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

All Works

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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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