Jean Shearin

501 total citations
8 papers, 427 citations indexed

About

Jean Shearin is a scholar working on Genetics, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Jean Shearin has authored 8 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 2 papers in Organic Chemistry and 2 papers in Molecular Biology. Recurrent topics in Jean Shearin's work include Estrogen and related hormone effects (4 papers), Chemical Synthesis and Analysis (2 papers) and Synthesis and biological activity (2 papers). Jean Shearin is often cited by papers focused on Estrogen and related hormone effects (4 papers), Chemical Synthesis and Analysis (2 papers) and Synthesis and biological activity (2 papers). Jean Shearin collaborates with scholars based in United States and United Kingdom. Jean Shearin's co-authors include Thomas G. Consler, Russel E. Kaufman, George F. Atweh, Bernard G. Forget, Shawn P. Williams, Lisa A. Orband‐Miller, Nicholas P. Anagnou, Marie A. Iannone, Catherine A. Simmons and Sue H. Kadwell and has published in prestigious journals such as Nucleic Acids Research, Journal of Medicinal Chemistry and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Jean Shearin

8 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jean Shearin United States	8	148	139	132	76	52	8	427
Khalid Benbatoul United States	10	72 0.5×	116 0.8×	284 2.2×	12 0.2×	17 0.3×	25	564
P. Strehlke Germany	6	135 0.9×	88 0.6×	161 1.2×	36 0.5×	34 0.7×	15	475
Toshiaki Tsunenari United States	15	65 0.4×	92 0.7×	189 1.4×	11 0.1×	22 0.4×	27	513
Lee-Ho Wang United States	13	71 0.5×	23 0.2×	232 1.8×	131 1.7×	96 1.8×	15	470
Douglas W. Beight United States	10	23 0.2×	143 1.0×	392 3.0×	14 0.2×	17 0.3×	15	616
Aakanksha Khandelwal United States	11	104 0.7×	62 0.4×	276 2.1×	4 0.1×	22 0.4×	14	488
Janice Darlington Türkiye	12	26 0.2×	82 0.6×	293 2.2×	15 0.2×	85 1.6×	16	490
Yumi Matsui Japan	13	31 0.2×	68 0.5×	242 1.8×	7 0.1×	29 0.6×	21	342
Kenneth W. Batchelor United States	9	138 0.9×	48 0.3×	159 1.2×	13 0.2×	33 0.6×	12	442
Grace E. Munie United States	14	12 0.1×	95 0.7×	212 1.6×	59 0.8×	30 0.6×	17	478

Countries citing papers authored by Jean Shearin

Since Specialization

Citations

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

Fields of papers citing papers by Jean Shearin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Shearin

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

All Works

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8 of 8 papers shown

Larkin, Jonathan, Jean Shearin, Rosalie Matico, et al.. (2015). Translational development of an ADAMTS-5 antibody for osteoarthritis disease modification. Osteoarthritis and Cartilage. 23(8). 1254–1266. 103 indexed citations

Sullivan, Elinor L., Jean Shearin, Frank H. Koegler, & Judy L. Cameron. (2012). Selective estrogen receptor modulator promotes weight loss in ovariectomized female rhesus monkeys (Macaca mulatta) by decreasing food intake and increasing activity. American Journal of Physiology-Endocrinology and Metabolism. 302(7). E759–E767. 14 indexed citations

Fang, Jing, Jonathan Britton, Frank Navas, et al.. (2008). Synthesis of 3-alkyl naphthalenes as novel estrogen receptor ligands. Bioorganic & Medicinal Chemistry Letters. 18(18). 5075–5077. 25 indexed citations

Iannone, Marie A., Catherine A. Simmons, Sue H. Kadwell, et al.. (2004). Correlation betweenin VitroPeptide Binding Profiles and Cellular Activities for Estrogen Receptor-Modulating Compounds. Molecular Endocrinology. 18(5). 1064–1081. 47 indexed citations

Hoekstra, William J., Hari S. Patel, Xi Liang, et al.. (2004). Discovery of Novel Quinoline-Based Estrogen Receptor Ligands Using Peptide Interaction Profiling. Journal of Medicinal Chemistry. 48(6). 2243–2247. 37 indexed citations

Henke, Brad R., Thomas G. Consler, Ning Go, et al.. (2002). A New Series of Estrogen Receptor Modulators That Display Selectivity for Estrogen Receptor β. Journal of Medicinal Chemistry. 45(25). 5492–5505. 139 indexed citations

Kinney, T R, M. Donald Whorton, Jean Shearin, et al.. (1989). Newborn screening for sickle cell disease and other hemoglobinopathies. Techniques' comparison and report of the North Carolina experience.. PubMed. 83(5 Pt 2). 843–8. 10 indexed citations

Atweh, George F., Nicholas P. Anagnou, Jean Shearin, Bernard G. Forget, & Russel E. Kaufman. (1985). β-Thalassemia resulting from a single nucleotide substitution in an acceptor splice site. Nucleic Acids Research. 13(3). 777–790. 52 indexed citations

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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