John H. Kindred

51 total papers · 444 total citations
31 papers, 354 citations indexed

About

John H. Kindred is a scholar working on Biomedical Engineering, Pathology and Forensic Medicine and Rehabilitation. According to data from OpenAlex, John H. Kindred has authored 31 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 11 papers in Pathology and Forensic Medicine and 11 papers in Rehabilitation. Recurrent topics in John H. Kindred's work include Muscle activation and electromyography studies (12 papers), Multiple Sclerosis Research Studies (11 papers) and Stroke Rehabilitation and Recovery (10 papers). John H. Kindred is often cited by papers focused on Muscle activation and electromyography studies (12 papers), Multiple Sclerosis Research Studies (11 papers) and Stroke Rehabilitation and Recovery (10 papers). John H. Kindred collaborates with scholars based in United States, Finland and Cyprus. John H. Kindred's co-authors include Thorsten Rudroff, Phillip J. Koo, Jeffrey R. Hebert, Kari K. Kalliokoski, Mark G. Bowden, Steven A. Kautz, Justin M. Honce, Brett W. Fling, Kaigang Li and Mark M. Mañago and has published in prestigious journals such as Journal of Applied Physiology, Medicine & Science in Sports & Exercise and Archives of Physical Medicine and Rehabilitation.

In The Last Decade

John H. Kindred

28 papers receiving 345 citations

Author Peers

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

Author						Papers	Cites
John H. Kindred	122	73	73	70	64	31	354
Nuray Kırdı	56 0.5×	47 0.6×	83 1.1×	30 0.4×	54 0.8×	29	387
Ümit Seçil Demirdal	32 0.3×	43 0.6×	45 0.6×	32 0.5×	44 0.7×	27	318
Mirko Filippetti	79 0.6×	17 0.2×	97 1.3×	63 0.9×	146 2.3×	42	343
Akkradate Siriphorn	97 0.8×	59 0.8×	70 1.0×	42 0.6×	31 0.5×	35	397
Deniz Palamar	128 1.0×	45 0.6×	133 1.8×	14 0.2×	80 1.3×	39	397
M. Jaeger	49 0.4×	40 0.5×	58 0.8×	7 0.1×	83 1.3×	20	322
Hikmet Koçyiğit	21 0.2×	43 0.6×	50 0.7×	49 0.7×	38 0.6×	27	361
Simin Sajadi	25 0.2×	32 0.4×	25 0.3×	47 0.7×	35 0.5×	24	304
Cheryl M. Petersen	48 0.4×	88 1.2×	81 1.1×	30 0.4×	70 1.1×	22	301
Rosa María Ortiz-Gutiérrez	92 0.8×	21 0.3×	145 2.0×	23 0.3×	84 1.3×	21	346

Countries citing papers authored by John H. Kindred

Since Specialization

Citations

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

Fields of papers citing papers by John H. Kindred

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John H. Kindred. 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 John H. Kindred. The network helps show where John H. Kindred may publish in the future.

Co-authorship network of co-authors of John H. Kindred

This figure shows the co-authorship network connecting the top 25 collaborators of John H. Kindred. A scholar is included among the top collaborators of John H. Kindred 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 John H. Kindred. John H. Kindred 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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