J. Ann Florendo

9 total papers · 446 total citations
7 papers, 213 citations indexed

About

J. Ann Florendo is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, J. Ann Florendo has authored 7 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Biomedical Engineering and 2 papers in Surgery. Recurrent topics in J. Ann Florendo's work include Muscle Physiology and Disorders (6 papers), Prosthetics and Rehabilitation Robotics (3 papers) and Tissue Engineering and Regenerative Medicine (2 papers). J. Ann Florendo is often cited by papers focused on Muscle Physiology and Disorders (6 papers), Prosthetics and Rehabilitation Robotics (3 papers) and Tissue Engineering and Regenerative Medicine (2 papers). J. Ann Florendo collaborates with scholars based in United States. J. Ann Florendo's co-authors include Peter K. Law, Tena G. Goodwin, Ming Chen, T.J. Yoo, James F. Reger, Sharon Dana, Ming Chen and Michael D. Neel and has published in prestigious journals such as Experimental Neurology, Cell Transplantation and Transplantation Proceedings.

In The Last Decade

J. Ann Florendo

7 papers receiving 194 citations

Author Peers

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

Author						Papers	Cites
J. Ann Florendo	189	99	69	44	27	7	213
Sara M. Maffioletti	205 1.1×	77 0.8×	51 0.7×	57 1.3×	11 0.4×	9	245
Jessica Shea	172 0.9×	52 0.5×	38 0.6×	32 0.7×	60 2.2×	6	302
Adrien Acquistapace	181 1.0×	72 0.7×	85 1.2×	30 0.7×	11 0.4×	9	322
Bénédicte Gobert	235 1.2×	102 1.0×	30 0.4×	51 1.2×	26 1.0×	4	268
Magdalini Eleftheriadou	151 0.8×	57 0.6×	49 0.7×	50 1.1×	12 0.4×	9	294
Dhanushika Ratnayake	232 1.2×	51 0.5×	44 0.6×	30 0.7×	23 0.9×	7	310
Guy Dansereau	293 1.6×	140 1.4×	97 1.4×	31 0.7×	64 2.4×	8	325
Sören S. Hüttner	220 1.2×	59 0.6×	40 0.6×	22 0.5×	27 1.0×	8	293
Chiara Bonfanti	205 1.1×	66 0.7×	45 0.7×	20 0.5×	31 1.1×	12	276
Tena G. Goodwin	285 1.5×	132 1.3×	105 1.5×	60 1.4×	54 2.0×	13	317

Countries citing papers authored by J. Ann Florendo

Since Specialization

Citations

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

Fields of papers citing papers by J. Ann Florendo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Ann Florendo. 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 J. Ann Florendo. The network helps show where J. Ann Florendo may publish in the future.

Co-authorship network of co-authors of J. Ann Florendo

This figure shows the co-authorship network connecting the top 25 collaborators of J. Ann Florendo. A scholar is included among the top collaborators of J. Ann Florendo 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 J. Ann Florendo. J. Ann Florendo 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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