Steven J. Spalding

48 total papers · 2.1k total citations
27 papers, 819 citations indexed

About

Steven J. Spalding is a scholar working on Rheumatology, Molecular Biology and Nephrology. According to data from OpenAlex, Steven J. Spalding has authored 27 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Rheumatology, 6 papers in Molecular Biology and 5 papers in Nephrology. Recurrent topics in Steven J. Spalding's work include Rheumatoid Arthritis Research and Therapies (5 papers), Autoimmune and Inflammatory Disorders Research (5 papers) and Pediatric Pain Management Techniques (5 papers). Steven J. Spalding is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (5 papers), Autoimmune and Inflammatory Disorders Research (5 papers) and Pediatric Pain Management Techniques (5 papers). Steven J. Spalding collaborates with scholars based in United States, Israel and Germany. Steven J. Spalding's co-authors include Andrew Zeft, Philip J. Hashkes, Daniel J. Lovell, Susmita Kashikar‐Zuck, Kenneth N. Schikler, Tracy V. Ting, Margaret Richards, Gerard A. Banez, T. Brent Graham and Scott W. Powers and has published in prestigious journals such as Annals of Internal Medicine, PEDIATRICS and Journal of Medical Internet Research.

In The Last Decade

Steven J. Spalding

26 papers receiving 797 citations

Author Peers

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

Author						Papers	Cites
Steven J. Spalding	189	170	150	145	133	27	819
Olena Seminog	147 0.8×	133 0.8×	39 0.3×	81 0.6×	77 0.6×	23	1.0k
Jeffrey Chaitow	114 0.6×	198 1.2×	114 0.8×	63 0.4×	100 0.8×	33	757
Joseph Giangiacomo	133 0.7×	135 0.8×	103 0.7×	194 1.3×	47 0.4×	39	1.0k
M. Hauge	150 0.8×	51 0.3×	162 1.1×	68 0.5×	86 0.6×	31	825
P Woo	192 1.0×	346 2.0×	54 0.4×	118 0.8×	172 1.3×	23	906
Shih‐Ni Chang	137 0.7×	87 0.5×	56 0.4×	165 1.1×	45 0.3×	38	933
M. Zulf Mughal	96 0.5×	131 0.8×	140 0.9×	74 0.5×	18 0.1×	45	975
John T. Boyer	106 0.6×	74 0.4×	46 0.3×	56 0.4×	339 2.5×	27	915
Irene Blanco	154 0.8×	401 2.4×	98 0.7×	58 0.4×	323 2.4×	31	866
M W Moncrieff	141 0.7×	91 0.5×	158 1.1×	279 1.9×	53 0.4×	33	880

Countries citing papers authored by Steven J. Spalding

Since Specialization

Citations

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

Fields of papers citing papers by Steven J. Spalding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven J. Spalding

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