Tena G. Goodwin

15 total papers · 579 total citations
13 papers, 317 citations indexed

About

Tena G. Goodwin is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Tena G. Goodwin has authored 13 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Surgery. Recurrent topics in Tena G. Goodwin's work include Muscle Physiology and Disorders (11 papers), Prosthetics and Rehabilitation Robotics (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Tena G. Goodwin is often cited by papers focused on Muscle Physiology and Disorders (11 papers), Prosthetics and Rehabilitation Robotics (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Tena G. Goodwin collaborates with scholars based in United States. Tena G. Goodwin's co-authors include Peter K. Law, J. Ann Florendo, Ming Chen, T.J. Yoo, Ming Chen, Sharon Dana, Syamal K. Bhattacharya, Michael D. Neel and Ping‐Yee Law and has published in prestigious journals such as Muscle & Nerve, Advances in experimental medicine and biology and Canadian Journal of Physiology and Pharmacology.

In The Last Decade

Tena G. Goodwin

13 papers receiving 290 citations

Author Peers

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

Author						Papers	Cites
Tena G. Goodwin	285	132	105	60	54	13	317
Guy Dansereau	293 1.0×	140 1.1×	97 0.9×	31 0.5×	64 1.2×	8	325
Louise Deschênes	298 1.0×	170 1.3×	117 1.1×	39 0.7×	40 0.7×	10	356
D. Parolini	307 1.1×	82 0.6×	76 0.7×	44 0.7×	36 0.7×	13	363
Marcos Valadares	213 0.7×	131 1.0×	162 1.5×	32 0.5×	27 0.5×	14	352
J. Ann Florendo	189 0.7×	99 0.8×	69 0.7×	44 0.7×	27 0.5×	7	213
Shilpita Sarcar	226 0.8×	54 0.4×	62 0.6×	38 0.6×	127 2.4×	8	324
Christophe Pichavant	319 1.1×	48 0.4×	62 0.6×	39 0.7×	76 1.4×	13	353
Takeshi Onizuka	222 0.8×	114 0.9×	30 0.3×	30 0.5×	25 0.5×	15	354
Mutsuki Kuraoka	256 0.9×	63 0.5×	59 0.6×	17 0.3×	62 1.1×	13	315
Sapana N. Shah	235 0.8×	63 0.5×	38 0.4×	21 0.3×	55 1.0×	16	358

Countries citing papers authored by Tena G. Goodwin

Since Specialization

Citations

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

Fields of papers citing papers by Tena G. Goodwin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tena G. Goodwin

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