Steven M. Haffner

17 total papers · 1.3k total citations
16 papers, 1.1k citations indexed

About

Steven M. Haffner is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Pharmacology. According to data from OpenAlex, Steven M. Haffner has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Genetics and 2 papers in Pharmacology. Recurrent topics in Steven M. Haffner's work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Hormonal and reproductive studies (5 papers) and Diabetes Treatment and Management (2 papers). Steven M. Haffner is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Hormonal and reproductive studies (5 papers) and Diabetes Treatment and Management (2 papers). Steven M. Haffner collaborates with scholars based in United States, Mexico and Ireland. Steven M. Haffner's co-authors include Rodolfo Valdéz, Judith K. Patterson, Leena Mykkänen, Helen P. Hazuda, Donald S. Fong, Jacqueline A. Pugh, Michael Katz, Richard L. Bauer, William R. Hazzard and Deborah Applebaum‐Bowden and has published in prestigious journals such as The American Journal of Medicine, Journal of Clinical Epidemiology and Atherosclerosis.

In The Last Decade

Steven M. Haffner

16 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Steven M. Haffner	619	218	183	181	140	16	1.1k
S.M. Haffner	606 1.0×	237 1.1×	258 1.4×	177 1.0×	161 1.1×	24	1.2k
R. T. Jung	412 0.7×	317 1.5×	138 0.8×	181 1.0×	182 1.3×	30	1.2k
Einar Skarfors	385 0.6×	322 1.5×	141 0.8×	205 1.1×	156 1.1×	14	1.0k
Jee‐Young Oh	575 0.9×	142 0.7×	150 0.8×	125 0.7×	177 1.3×	19	1.0k
M. Carantoni	497 0.8×	289 1.3×	307 1.7×	136 0.8×	108 0.8×	22	997
Kaye A. Griffiths	421 0.7×	131 0.6×	73 0.4×	346 1.9×	115 0.8×	17	1.1k
Norman H. Ertel	455 0.7×	207 0.9×	138 0.8×	68 0.4×	109 0.8×	34	1.3k
Olli T. Raitakari	459 0.7×	173 0.8×	91 0.5×	279 1.5×	305 2.2×	16	969
A Laws	600 1.0×	202 0.9×	238 1.3×	252 1.4×	144 1.0×	23	1.3k
Jeannett Martin	451 0.7×	149 0.7×	136 0.7×	161 0.9×	111 0.8×	26	1.3k

Countries citing papers authored by Steven M. Haffner

Since Specialization

Citations

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

Fields of papers citing papers by Steven M. Haffner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven M. Haffner

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