Steven D. Norton

30 total papers · 1.0k total citations
22 papers, 886 citations indexed

About

Steven D. Norton is a scholar working on Immunology, Applied Psychology and Social Psychology. According to data from OpenAlex, Steven D. Norton has authored 22 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Applied Psychology and 3 papers in Social Psychology. Recurrent topics in Steven D. Norton's work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Steven D. Norton is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Steven D. Norton collaborates with scholars based in United States, Albania and Japan. Steven D. Norton's co-authors include Marc K. Jenkins, Kevin B. Urdahl, L Zuckerman, Jeffrey S. Miller, Raymond A. Daynes, Richard P. Novick, Patrick M. Schlievert, Miguel J. Stadecker, Charlie Foster and Simon R. Carding and has published in prestigious journals such as Academy of Management Review, Academy of Management Journal and The Journal of Immunology.

In The Last Decade

Steven D. Norton

22 papers receiving 842 citations

Author Peers

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

Author						Papers	Cites
Steven D. Norton	656	138	87	86	63	22	886
Joseph J. Sabatino	564 0.9×	137 1.0×	79 0.9×	132 1.5×	43 0.7×	28	1.1k
Thomas L. Vischer	355 0.5×	80 0.6×	96 1.1×	158 1.8×	33 0.5×	34	1.0k
A. Robert Turner	264 0.4×	190 1.4×	48 0.6×	238 2.8×	22 0.3×	33	850
Elizabeth Ross	387 0.6×	131 0.9×	109 1.3×	150 1.7×	174 2.8×	26	866
Irené Larsson	563 0.9×	75 0.5×	51 0.6×	149 1.7×	27 0.4×	11	836
Mary Ellen Ross	562 0.9×	251 1.8×	29 0.3×	157 1.8×	12 0.2×	34	1.0k
Jennifer Jackson	419 0.6×	89 0.6×	137 1.6×	177 2.1×	17 0.3×	13	949
Bhaskar Srivastava	748 1.1×	150 1.1×	59 0.7×	204 2.4×	32 0.5×	27	1.0k
Shannon O’Neill	564 0.9×	110 0.8×	172 2.0×	132 1.5×	38 0.6×	18	852
A M Kruisbeek	750 1.1×	131 0.9×	151 1.7×	120 1.4×	45 0.7×	26	903

Countries citing papers authored by Steven D. Norton

Since Specialization

Citations

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

Fields of papers citing papers by Steven D. Norton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven D. Norton

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