Tony G. Johnson

212 total papers · 1.1k total citations
12 papers, 209 citations indexed

About

Tony G. Johnson is a scholar working on Global and Planetary Change, Molecular Biology and Mechanics of Materials. According to data from OpenAlex, Tony G. Johnson has authored 12 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Global and Planetary Change, 2 papers in Molecular Biology and 2 papers in Mechanics of Materials. Recurrent topics in Tony G. Johnson's work include Forest Management and Policy (3 papers), Forest Biomass Utilization and Management (2 papers) and Prosthetics and Rehabilitation Robotics (1 paper). Tony G. Johnson is often cited by papers focused on Forest Management and Policy (3 papers), Forest Biomass Utilization and Management (2 papers) and Prosthetics and Rehabilitation Robotics (1 paper). Tony G. Johnson collaborates with scholars based in United States, India and United Kingdom. Tony G. Johnson's co-authors include David C. Lobe, Dennis L. Sprecher, David G. Hassall, Christine Massien, Scott D. Patterson, Timothy M. Willson, Andrew N. Billin, Nicolas Ancellin, Greg Pearce and Itay Perlstein and has published in prestigious journals such as Arteriosclerosis Thrombosis and Vascular Biology, Statistics in Medicine and Clinical Biomechanics.

In The Last Decade

Tony G. Johnson

9 papers receiving 198 citations

Author Peers

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

Author						Papers	Cites
Tony G. Johnson	139	65	40	33	32	12	209
Zhaoming Deng	88 0.6×	65 1.0×	23 0.6×	31 0.9×	14 0.4×	12	215
Na-Oh Yunn	229 1.6×	50 0.8×	47 1.2×	20 0.6×	40 1.3×	12	290
Lijun Shen	131 0.9×	52 0.8×	17 0.4×	76 2.3×	26 0.8×	14	265
Gopala Krishna Yakala	90 0.6×	40 0.6×	24 0.6×	24 0.7×	10 0.3×	8	207
Kirill Batmanov	114 0.8×	72 1.1×	38 0.9×	60 1.8×	20 0.6×	14	239
Hayato Fujita	73 0.5×	20 0.3×	41 1.0×	29 0.9×	37 1.2×	13	219
Sayumi Toriyama	94 0.7×	28 0.4×	44 1.1×	28 0.8×	33 1.0×	12	242
Maithili Navaratnarajah	135 1.0×	72 1.1×	25 0.6×	55 1.7×	18 0.6×	13	276
Katharina Bottermann	117 0.8×	37 0.6×	40 1.0×	27 0.8×	15 0.5×	15	276
Anamika Ratri	110 0.8×	50 0.8×	14 0.3×	21 0.6×	22 0.7×	15	273

Countries citing papers authored by Tony G. Johnson

Since Specialization

Citations

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

Fields of papers citing papers by Tony G. Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tony G. Johnson. 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 Tony G. Johnson. The network helps show where Tony G. Johnson may publish in the future.

Co-authorship network of co-authors of Tony G. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Tony G. Johnson. A scholar is included among the top collaborators of Tony G. Johnson 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 Tony G. Johnson. Tony G. Johnson 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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