Young Jm

839 total citations
3 papers, 484 citations indexed

About

Young Jm is a scholar working on Infectious Diseases, Neurology and Epidemiology. According to data from OpenAlex, Young Jm has authored 3 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Infectious Diseases, 1 paper in Neurology and 1 paper in Epidemiology. Recurrent topics in Young Jm's work include Myasthenia Gravis and Thymoma (1 paper), Fungal Infections and Studies (1 paper) and Antifungal resistance and susceptibility (1 paper). Young Jm is often cited by papers focused on Myasthenia Gravis and Thymoma (1 paper), Fungal Infections and Studies (1 paper) and Antifungal resistance and susceptibility (1 paper). Young Jm collaborates with scholars based in . Young Jm's co-authors include Gro Jamtvedt and AD Oxman and has published in prestigious journals such as Physiotherapy and PubMed.

In The Last Decade

Young Jm

2 papers receiving 469 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Young Jm	2	255	130	85	51	45	3	484
C. Edwin Webb United States	6	246 1.0×	123 0.9×	73 0.9×	49 1.0×	64 1.4×	11	544
Nora Morris United States	8	325 1.3×	166 1.3×	167 2.0×	61 1.2×	20 0.4×	9	688
Robert Farmer United States	9	272 1.1×	139 1.1×	180 2.1×	81 1.6×	38 0.8×	11	710
D. P Stevens United States	5	178 0.7×	114 0.9×	63 0.7×	52 1.0×	38 0.8×	5	471
Marlene R. Ventura United States	14	305 1.2×	96 0.7×	37 0.4×	21 0.4×	24 0.5×	48	542
Bodil Wilde Sweden	5	421 1.7×	110 0.8×	91 1.1×	29 0.6×	53 1.2×	7	599
Fredric J. Romm United States	8	184 0.7×	108 0.8×	119 1.4×	56 1.1×	10 0.2×	12	572
John C. Sibley Canada	5	533 2.1×	204 1.6×	124 1.5×	24 0.5×	16 0.4×	7	662
Gayle R. Whitman United States	12	180 0.7×	52 0.4×	79 0.9×	27 0.5×	30 0.7×	22	769
Jay A Gold United States	11	246 1.0×	107 0.8×	252 3.0×	81 1.6×	13 0.3×	38	801

Countries citing papers authored by Young Jm

Since Specialization

Citations

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

Fields of papers citing papers by Young Jm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young Jm

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

All Works

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3 of 3 papers shown

1.

Jamtvedt, Gro, et al.. (2003). Audit and feedback: Effects on professional practice and healthcare outcomes. Physiotherapy. 89(9). 517–517. 480 indexed citations

2.

Jm, Young, et al.. (1968). Habituation to standardized exercise on a bicycle ergometer.. PubMed. 197(1). 26P–27P. 4 indexed citations

3.

Jm, Young, et al.. (1967). Cryptococcic meningo-encephalitis.. PubMed. 60(1). 48–53.

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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